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1. Introduction
The communication traffic volume handled by trunk optical transport networks has been increasing year by year [1]. Meeting the increasing demand not only requires a quantitative increase in total traffic volume, but also ideally requires an increase in the speed of individual clients to maintain the balance between cost and reliability. This is particularly appropriate for shorter links across the network, where the relatively high optical signal-to-noise ratio (OSNR) would allow the use of a higher capacity, but is less appropriate for the longest links, where products are already close to the theoretical limits [2]. In such circumstances, it is necessary to maximize resource utilization and in a static network one approach to achieve this is the deployment of spectrally efficient higher-order modulation formats enabled by digital coherent detection. As attested by the rapid growth in reported constellation size [3,4], the optical hardware for a wide variety of coherently detected modulation formats is identical [5]. This has led to the suggestion that a common transponder may be deployed and the format adjusted on a link by link basis to either maximize the link capacity given the achieved OSNR, or if lower, match the required client interface rate [6] such that the number of wavelength channels allocated to a given route is minimized. It is believed that such dynamic, potentially self-adjusting, networks will enable graceful capacity growth, ready resource re-allocation and cost reductions associated with improved transponder volumes and sparing strategies. However additional trade-offs and challenges associated with such networks are presented to system designers and network planners. One such challenge is associated with the nonlinear transmission impairments which strongly link the achievable channel reach for a given set of modulation formats, symbol-rates [6,7] across a number of channels.
Various methods of compensating fiber transmission impairments have been proposed, both in optical and electronic domain. Traditionally, dispersion management was used to suppress the impact of fiber nonlinearities [8,9]. Although dispersion management is appreciably beneficial, the benefit is specific to a limited range of transmission formats and rates and it enforces severe limitations on link design. Similarly, compensation of fiber impairments based on spectral inversion (SI) [10], has been considered attractive because of the removal of in-line dispersion compensation modules (DCM), transparency to modulation formats and compensation of nonlinearity. However, although SI has large bandwidth capabilities, it often necessitates precise positioning and customized link design (e.g., distributed Raman amplification, etc.). Alternatively, with the availability of high speed digital signal processing (DSP), electronic mitigation of transmission impairments has emerged as a promising solution. As linear compensation methods have matured in past few years [11], the research has intensified on compensation of nonlinear impairments. In particular, electronic signal processing using digital back-propagation (DBP) with time inversion has been applied to the compensation of channel nonlinearities [12,13]. Back-propagation may be located at the transmitter [14] or receiver [15], places no constraints on the transmission line and is thus compatible with the demands of an optical network comprising multiple routes over a common fiber platform. In principle this approach allows for significant improvements in signal-to-noise ratios until the system performance becomes limited only by non-deterministic effects [16] or the power handling capabilities of individual components. Although the future potential of nonlinear impairment compensation using DBP in a dynamic optical network is unclear due to its significant computational burden, simplification of nonlinear DBP using single-channel processing at the receiver suggest that the additional processing required for intra-channel nonlinearity compensation may be significantly lower than is widely anticipated [17,18]. Studies of the benefits of DBP have largely been verified for systems employing homogenous network traffic, where all the channels have the same launch power [19]. However, as network upgrades are carried out, it is likely that channels employing different multi-level formats will become operational. In such circumstances, it has been demonstrated that the overall network capacity may be increased if the network traffic will become inhomogeneous, not only in terms of modulation format, but also in terms of signal launch power [6,7,20]. In particular, if each channel operates at the minimum power required for error free propagation (after error correction) rather than a global average power or the optimum power for the individual channel, the overall level of cross phase modulation in the network is reduced [20].
In this chapter we demonstrate the application of electronic compensation schemes in a dynamic optical network, focusing on adjustable signal constellations with non identical launch powers, and discuss the impact of periodic addition of 28-Gbaud polarization multiplexed m-ary quadrature amplitude modulation (PM-mQAM) channels on existing traffic. We also discuss the impact of cascaded reconfigurable optical add-drop multiplexerson networks operating close to the maximum permissible capacity in the presence of electronic compensation techniques for a range of higher-order modulation formats and filter shapes.
2. Simulation conditions
Figure 1 illustrates the simulation setup. The optical link comprised nine (unless mentioned otherwise) 28-Gbaud WDM channels, employing PM-mQAM with a channel spacing of 50 GHz. For all the carriers, both the polarization states were modulated independently using de-correlated 215 and 216 pseudo-random bit sequences (PRBS), for x- and y-polarization states, respectively. Each PRBS was de-multiplexed separately into two multi-level output symbol streams which were used to modulate an in-phase and a quadrature-phase carrier. The optical transmitters consisted of continuous wave laser sources, followed by two nested Mach-Zehnder Modulator structures for x- and y-polarization states, and the two polarization states were combined using an ideal polarization beam combiner. The simulation conditions ensured 16 samples per symbol with 213 total simulated symbols per polarization. The signals were propagated over standard single mode fiber (SSMF) transmission link with 80 km spans, no inline dispersion compensation and single-stage erbium doped fiber amplifiers (EDFAs). The fiber had attenuation of 0.2 dB/km, dispersion of 20 ps/nm/km, and a nonlinearity coefficient (γ) of 1.5/W/km(unless mentioned otherwise). Each amplifier stage was modeled with a 4.5 dB noise figure and the total amplification gain was set to be equal to the total loss in each span.
Figure 1.
Simulation setup for 28-Gbaud PM-mQAM (m= 4, 16, 64, 256) transmission system with L wavelengths and M spans per node (total spans is given by N).
At the coherent receiver the signals were pre-amplified (to a fixed power of 0 dBm per channel), filtered with a 50 GHz 3rd order Gaussian de-multiplexing filter, coherently-detected and sampled at 2 samples per symbol. Transmission impairments were digitally compensated in two scenarios. Firstly by using electronic dispersion compensation (EDC) alone, employing finite impulse response (FIR) filters (T/2-spaced taps) adapted using a least mean square algorithm. In the second case, electronic compensation was applied via single-channel digital back-propagation (SC-DBP), which was numerically implemented by split-step Fourier method based solution of nonlinear Schrödinger equation. In order to establish the maximum potential benefit of DBP, the signals were up sampled to 16 samples per bit and an upper bound on the step-size was set to be 1 km with the step length chosen adaptively based on the condition that in each step the nonlinear effects must change the phase of the optical field by no more than 0.05 degrees. To determine the practically achievable benefit, in line with recent simplification of DBP algorithms, e.g. [17,18,21], we also employed a simplified DBP algorithm similar to [21], with number of steps varying from 0.5 step/span to 2 steps/span. Following one of these stages (EDC or SC-DBP) polarization de-multiplexing, frequency response compensation and residual dispersion compensation was then performed using FIR filters, followed by carrier phase recovery [22]. Finally, the symbol decisions were made, and the performance assessed by direct error counting (converted into an effective Q-factor (Qeff)). All the numerical simulations were carried out using VPItransmissionMaker®v8.5, and the digital signal processing was performed in MATLAB®v7.10.
3. Analysis of trade-offs in hybrid networks
3.1. Constraints on transmission reach
In a dynamic network, there are a large range of options to provide the desired flexibility including symbol rate [23], sub-carrier multiplexing [24], network configuration [25] signal constellation and various combinations of these techniques. In this section we focus on the signal constellation and discuss the impact of periodic addition of PM-mQAM (m= 4, 16, 64, 256) transmission schemes on existing PM-4QAM traffic in a 28-Gbaud WDM optical network with a total transparent optical path of 9,600 km. We demonstrate that the periodic addition of traffic at reconfigurable optical add-drop multiplexer (ROADM) sites degrades through traffic, and that this degradation increases with the constellation size of the added traffic. In particular, we demonstrate that undistorted PM-mQAM signals have the greatest impact on the through traffic, despite such signals having lower peak-to-average power ratio (PAPR) than dispersed signals, although the degradation strongly correlated to the total PAPR of the added traffic at the launch point itself. Using this observation, we propose the use of linear pre-distortion of the added channels to reduce the impact of the cross-channel impairments [26,27].
Note that the total optical path was fixed to be 9,600 km and after every M spans, a ROADM stage was employed and the channels to the left and right of the central channel were dropped and new channels with independent data patterns were added, as shown in Figure 2. in order to analyze the system performance, the dropped channels were coherently-detected after first ROADM and the central channel after the last ROADM link.
Figure 2.
Network topology for flexible optical network, employing PM-4QAM traffic as a through channel, and PM-mQAM traffic as neighboring channels, getting added/dropped at each ROADM site. Note that in this schematic only right-hand wavelength is shown to be added/dropped, however in the simulations both right and left wavelengths were add/dropped. The total path length was fixed to 9,600 km, and the number of ROADMs was varied.
The optimum performance of the central PM-4QAM channel at 9,600 km occurred for a launch power of -1 dBm. In this study, the launch power of all the added channels was also fixed at -1 dBm, such that all channels had equal launch powers. Figure 3 illustrates the performance of the central test channel after the last node (solid), along with the performance of co-propagating channel employing various modulation formats after the first ROADM node (open) for a number of ROADM spacing’s, using both single-channel DBP (Figure 3a) and EDC (Figure 3b). It can be seen that single-channel DBP offers a Qeff improvement of ~1.5 dB compared to EDC based system. This performance improvement is strongly constrained by inter-channel nonlinearities, such that intra-channel effects are not dominant. Moreover, the figure shows that as the number of ROADM nodes are increased, or the distance between ROADMs decreases, the performance of higher-order neighboring channels improves significantly due to the improved OSNR.
It can also be seen from Figure 3 that added channels with higher-order formats induce greater degradation of the through channel. In particular if there are 30 ROADM sites (320 km ROADM spacing) allocated to transmit PM-64QAM, whilst this traffic operates with significant margin, the through traffic falls below the BER of 3.8x10-3. This increased penalty is due to the increased nonlinear degradation encountered in the first span after the ROADM node, where higher formats induce greater cross phase modulation(XPM) than PM-4QAM by virtue of their increased PAPR. However, even when the add drop traffic is PM-4QAM, the performance of the through channel degrades slightly as the number of ROADM nodes is increased, despite the reduction in PAPR due to the randomization of the nonlinear crosstalk.
The estimated PAPR evolutions for the various formats are shown in Figure 4. Asymptotic values are reached after the first span, and reach a slightly higher value for m ≥ 16. The PAPR is reduced at the ROADM site itself, particularly for PM-4QAM. Figure 4 implies that harmful increases in the instantaneous amplitude of the interfering channels are not the entire cause of the penalty experienced by the through channel; we can therefore only conclude that the additional distortion results from interplay between channel walk off and nonlinear effects. Given that walk-off is known to induce short and medium range correlation in crosstalk between subsequent bits, effectively low pass filtering the crosstalk [28]. We thus believe that the penalty experienced by the through channel is not only because of variation in PAPR, but also due to the randomization of the crosstalk by the periodic replacement of the interfering data pattern.
Figure 3.
Qeff as a function of number of ROADMs (and distance between ROADM nodes) for 28-Gbaud PM-mQAM showing performance of central PM-4QAM (solid, after total length), and neighboring PM-mQAM (open, after first node). a) with single-channel DBP, b) with electronic dispersion compensation. Square: 4QAM, circle: 16QAM, up triangle: 64QAM, diamond:256QAM. Up arrows indicate that no errors were detected, implying that the Qeff was likely to be above 12.59 dB. Total link length is 9,600 km.
Figure 4.
Variation in PAPR, for 4QAM (black), 16QAM (red), 64QAM (green) and 256QAM (blue) for a loss-less linear fiber with 20 ps/nm/km dispersion.
Figure 5.
Qeff of the PM-4QAM through channel for 28-Gbaud PM-mQAM add/drop traffic after 9,600 km as a function of a figure of merit (FOM) defined in the text for various add drop configurations. Solid: with single-channel DBP, open: with EDC.
This is confirmed by Figure 5, which plots the Qeff of PM-4QAM after last node, for both EDC and single-channel DBP, in terms of a figure of merit (FOM) related to the increased amplitude modulation experienced by the test channel in the spans immediately following the ROADM node, defined as,
FOMPM−mQAM(m)=(ROADMN)×[Imax(m)/Iall(m)¯]E1
wherem represents the modulation order, ROADMN represents number of add-drop nodes, Imax and Iallare the maximum and mean intensity of the given modulation format at the ROADM site. A strong correlation between the penalty and change in PAPR is observed. For instance, for a high number of ROADMs the system would be mostly influenced by relatively un-dispersed signals and the difference between peak-to-average fluctuations for multi-order QAM varies significantly. This leads to higher-order modulation formats impinging worse cross-channel effects on existing traffic for shorter routes.
Having observed that the nonlinear penalty is determined by the reduction in the correlation of nonlinear phase shift between bits arising from changing bit patterns, and to changes in PAPR arising from undistorted signals, it is possible to design a mitigation strategy to minimize these penalties. Figure 6 illustrates, for both EDC and single-channel DBP systems, that if the co-propagating higher-order QAM channels are linearly pre-dispersed, the performance of the PM-4QAM through traffic can be improved. The figure shows that when positive pre-dispersion is applied, such that the neighboring channel constellation is never, along its entire inter node transmission length, restored to a well-formed shape, the impact of cross-channel impairments on existing traffic is reduced significantly.
Figure 6.
Qeff of the PM-4QAM through channel with 30 ROADM sites, when the neighboring PM-64QAM channel is linearly pre-dispersed. Solid: with single-channel DBP, open: with EDC.
On the other hand, when negative pre-dispersion of less than the node-length (distance per node) is employed, the central test channel is initially degraded further. This behavior can be attributed to the increased impact of the PAPR of the un-dispersed constellation which is restored in the middle of the link. However, if negative pre-dispersion of more than the node-length is employed, the penalty is reduced due to lower PAPR induced XPM, and the performance saturates for higher values of pre-dispersion, similar to the case of positive pre-dispersion. Note that avoiding well formed signals along the entire link corresponds to maximizing the path averaged PAPR of the signals. The benefits of this strategy have subsequently been predicted from a theoretical standpoint [27].
3.2. Constraints on transmitted power
In this section, we demonstrate that independent optimization of the transmitted launch power enhances the performance of higher modulation order add-drop channels but severely degrades the performance of through traffic due to strong inter-channel nonlinearities. However, if an altruistic launch power policy is employed such that the higher-order add-drop traffic still meets the BER of 3.8x10-3, a trade-off can be recognized between the performance of higher-order channels and existing network traffic enabling higher overall network capacity with minimal crosstalk [19].
As a baseline for this study, we initially consider transmission distances up to 9,600km with the same 80km spans, suitable to enable a suitable performance margin (at bit-error rate of 3.8x10-3) for the network traffic given various modulation schemes at a fixed launch power of -1 dBm, (optimum power as determined in previous section. For a dynamic network with N ROADMs and mth order PM-QAM, the overall results are summarized in Table 1. The table shows under which conditions the central PM-4QAM channel (right-hand symbol), and the periodically added traffic (left-hand symbol) are simultaneously able to achieve error-free operation after FEC. Two ticks indicate that both types of traffic is operational, whilst a cross indicates that at least one channel produces severely errorred signals. As expected, with decreasing ROADM spacing, the operability of higher-order neighboring channels increases due to the improved OSNR. However, it can also be seen that as a consequence, added channels with higher-order formats induce greater degradation of the through channel through nonlinear crosstalk as shown in Section 3.1. In particular, if the ROADM spacing is 320 km, allocated to transmit PM-64QAM, whilst this traffic is operable, the through traffic falls below the BER threshold. Conversely for large ROADM spacing, there is little change in nonlinear crosstalk, since the m-QAM signals are highly dispersed, but the higher order format traffic has insufficient OSNR for error free operation. We refer to this approach as “fixed network power”.
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Table 1.
Operability of PM-mQAM/4QAM above BER threshold of 3.8x10-3for a total trnamsission distance of 9,600km. Tick/Cross (Left) represents performance of mQAM, Tick/Cross (Right) represents corresponding performance of central 4QAM. Tick: Operational, Cross: Non-operational
Since higher-order modulation formats have higher required OSNR, we expect the optimum launch power for those channels to be different than those used in the fixed network power scenario which was operated at a launch power of -1 dBm. Thus, for example, for large ROADM spacing, we improved performance might be expected if the add-drop traffic operates with increased launch power. Figure 7 illustrates the performance of through channel and the higher-order add-drop channels as a function of launch power of the add-drop traffic (through channel operates with a fixed, previously optimized, launch power of -1 dBm). For clarity we report two ROADM spacings, selected to give zero margin (Figure 7a) or ~2 dB margin (Figure 7b) for 256QAM add drop traffic. The ROADM spacing for 16 and 64QAM signals were scaled in proportion (approximately) to their required OSNR levels under linear transmission. The exact ROADM spacing is reported in the figure captions.
Figure 7 clearly illustrates that the higher-order formats operating over a longer (shorter) reach enable lower (higher) Qeff, but also that the nonlinear effects increase in severity as the modulation order is increased. In particular, the long distance through traffic is strongly degraded before the nonlinear threshold is reached for such formats. Comparing Figure 7a and\n\t\t\t\t\tFigure 7b, we can see that the reduced ROADM spacing in Figure 7b enables improved performance of the add-drop channels; however the degradation of the through channel is increasingly severe. This change in behavior between formats can be attributed to the increased amplitude modulation imposed by un-dispersed signals added at each ROADM site, as discussed previously.
Figure 7.
Qeff as a function of launch power of two neighboring channels for 28-Gbaud PM-mQAM, showing performance of central PM-4QAM (Solid), and neighboring PM-mQAM (Half Solid). Triangle: 16QAM, Circle: 64QAM, Square:256QAM. The launch power per channel for PM-4QAM is fixed to -1 dBm. ROADM spacing of, a) 2400, 640, 160 km, b) 1200, 320, 80 km for 16, 64, 256 QAM, respectively.
We can use the results of Figure 7 to analyze the impact of various power allocation strategies. Clearly if we allow each transponder to adjust its launch power to optimize its own performance autonomously, a high launch power will be selected and the degradation to the traffic from other transponders increases in severity, and in all six scenarios in Figure 7 the through channel fails if the performance of the add drop traffic is optimized independently. This suggests that launch power should be centrally controlled. Howevercentrally controlled optimization of individual launch powers for each transponder is complex; so a more promising approach would be a fixed launch power irrespective of add-drop format or reach to minimize the complexity of this control. We have already seen (Table 1) that if the launch power is set to favor the performance of PM-4QAM (-1 dBm) the flexibility in transmitted format for the add/drop transponders is low, and to confirm this in Figure 7 four of the scenarios fail. The best performance for these two scenarios is achieved at a fixed launch power of -3 dBm, but we still find that 3 scenarios fail to establish error free connections. However, if the transponders are altruistically operated at the minimum launch power required for the desired connection (not centrally controlled), the majority of the scenarios studied result in successful connections. The one exception is the add-drop of 256QAM channels with a ROADM spacing of 160 km, which is close to the maximum possible reach of the format. Note that shorter through paths would tend to use higher-order formats for all the routes, where nonlinear sensitivity is higher [29], and therefore we expect similar conclusions.
4. Application in meshed networks
In the previous section, we identified that optimum performance for a given predetermined modulation format was obtained by using the minimum launch power. However, this arbitrary selection of transmitted format fails to take into account the ability of a given link to operate with different formats, leading to a rich diversity of connections. In this section, we focus on the impact of flexibility in the signal constellation, allowing for evolution of the existing ROADM based static networks. We consider a configuration where network capacity is increased by allowing higher-order modulation traffic to be transmitted on according to predetermined rules based on homogenous network transmission performance. In particular we consider a 50 GHz channel grid with coherently-detected 28-Gbaud PM-mQAMand 20 wavelength channels. We demonstrate that even if modulation formats are chosen based on knowledge of the maximum transmission reach aftersingle-channel digital back-propagation, for the network studied, the majority of the network connections (75%) are operable with significant optical signal-to-noise ratio margin when operated with electronic dispersion compensation alone. However, 23% of the links require the use of single-channel DBP for error free operation. Furthermore, we demonstrate that in this network higher-order modulation formats are more prone to impairments due to channel nonlinearities and filter crosstalk; however they are less affected by the bandwidth constrictions associated with ROADM cascades due to shorter operating distances. Finally, we show that, for any given modulation order, a minimum filter Gaussian order of ~3 or bandwidth of ~35 GHz enables the performance with approximately less than 1 dB penalty with respect to ideal rectangular filters [30].
4.1. Network design
To establish a preliminary estimate of maximum potential transmission distance of each available format, we employed the transmission reaches identified in Section 3. These are suitable to enable a BER of 3.8x10-3 at a fixed launch power of -1 dBm assuming the availability of single-channel DBP. These conditions gave maximum reaches of 2,400 km for PM-16QAM, 640 km for PM-64QAM and 160 km for 256 QAM. Note that only single-channel DBP was considered in this study since in a realistic mesh network access to neighboring traffic might be impractical. WDM based DBP solution may be suitable for a point to point submarine link or for a network connection where wavelengths linking the same nodes co-propagate using adjacent wavelengths. Implementation of this condition would require DBP aware routing and wavelength assignment algorithms. This approach could enable significant Qeff improvements or reach increases. For 64QAM, up to 7 dBQeffimprovements were shown in [29], although the benefit depends on the number of processed channels [31].
We then applied this link capacity rule to an 8-node route from a Pan-European network topology (see highlighted link in Figure 8). To generate a representative traffic matrix, for each node, commencing with London, we allocated traffic demand from the node under consideration to all of the subsequent nodes, operating the link at the highest order constellation permissible for the associated transmission distance, and selecting the next wavelength. We note that none of the links in this chosen route were suitable for 256QAM, indeed only the Strasberg to Zurich and Vienna to Prague links are expected to be suitable for this format.
Figure 8.
node Pan-European network topology. Link 1: London-to-Amsterdam: 7 spans, Link 2: Amsterdam-to-Brussels: 3 spans, Link 3: Brussels-to-Frankfurt: 6 spans. Link 4: Frankfurt-to-Munich: 6 spans, Link 5: Munich-to-Milan: 7 spans, Link 6: Milan-to-Rome: 9 spans, Link 7: Rome-to-Athens: 19 spans. (80 km/span).
Once all nodes were connected by a single link, this process was repeated (in the same order), adding additional capacity between nodes where an unblocked route was available until all 20 wavelengths were allocated, and no more traffic could be assigned without blockage.
Table 2 illustrates the resultant traffic matrix showing the location where traffic was added and dropped (gray highlighting) and the order of the modulation format (numbers) carried wavelength (horizontal index) on each link (vertical index). For example, emerging from node 6 are nine wavelengths carrying PM-4QAM and 5 wavelengths carrying PM-16QAM whilst on the center wavelength, PM-16QAM data is transmitted from node 1 (London) to node 5 (Munich) where this traffic is dropped and replaced with PM-64QAM traffic destined for node 6 (Milan). This ensured that various nodes were connected by multiple wavelengths. As it can be seen, the adopted procedure allowed for a reasonably meshed optical network (36 connections) with shortest route of 3 spans and longest path of 57 spans, emulating a quasi-real traffic scenario with highly heterogeneous traffic. At each node, add-drop functionality was enabled using a channelized ROADM architecture where all the wavelengths were de-multiplexed and channels were added/dropped, before re-multiplexing the data signals again. We considered Rectangular and Gaussian-shaped filters for ROADM stages, and the order of the Gaussian filters was varied from 1 through 6.
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Table 2.
Traffic matrix (Each element represents the modulation order, Grayed: Traffic dropped and added at nodes highlighted in gray.
4.2. Results and discussions
4.2.1. Nonlinear transmission with ideal ROADMs
Figure 9 depicts the required OSNR of each connection as a function of transmission distance, after electronic dispersion compensation. Note that in this case we employed rectangular ROADM filters to isolate the impact of inter-channel nonlinear impairments from filtering crosstalk (no cascade penalties were observed with ideal filters).
Numerous conclusions can be ascertained from this figure. First, these results confirm that with mixed-format traffic and active ROADMs, as the transmission distance is increased the required OSNR increases irrespective of the modulation order due to channel nonlinearities. Second, as observed by the greater rate of increase in required OSNR with distance, the higher-order channels are most degraded by channel nonlinearities, even at the shortest distance traversed. Furthermore, even for the shortest distances the offset between the theoretical OSNR for a linear system and the simulated values are greater for higher order formats. These two effectsare attributed to the significantly reduced minimum Euclidian distance which leads to increased sensitivity to nonlinear effects. However, for a system designed according to single-channel DBP propagation limits, as the one studied here, one can observe that majority of the links operate using EDC alone (except the ones highlighted by up-arrows). Note that managing the PAPR for such formats through linear pre-dispersion could further improve the transmission performance, as shown in Section 1.3. Additionally, in order to examine the available system margin, Figure 9 also shows the received OSNR for various configurations, where it can be seen that majority of the links (except 3) have more than 2 dB available margins, and that our numerical results show an excellent match to the theoretical predictions.
Figure 9.
Nonlinear tolerance of PM-mQAM in a dynamic mesh network after EDC. a) Colored: OSNR at BER of 3.8x10-3 vs. Distance (Links traversed: 1(square), 2(circle), 3(up-tri), 4(down-tri), 5(left-tri), 6(right-tri), 7(diamond), horizontal lines (theoretical required OSNR)), open: intermediate nodes, solid: destination nodes. Black: Received OSNR (black spheres), Line (theoretical received OSNR), Dotted Line (theoretical received OSNR with 5 dB margin). Up arrows indicate failed connections (corresponding to drop nodes).
As discussed, the results presented in Figure 9 exclude 9 network connections classified as failed (25% of the total traffic), where the calculated BER was always found to be higher than the 3.8x10-3. In order to address the failed routes, we employed single-channel DBP, as shown in [21], on such channels, as shown in Figure 10 (red: simplified, blue: full-precision 40 steps per span).It can be seen that all but one of the links can be restored by using single-channel DBP, with the Qeffincreasing by an average of ~1 dB, consistent with the improvements observed for heterogeneous traffic in Section 1.3. The link which continues to give a BER even after after single-channel DBP is operated with the highest order modulation format studied, and its two nearest neighbors are both highly dispersed. Note that even though the maximum node lengths are chosen based on nonlinear transmission employing single-channel DBP, most of the network traffic also abide by the EDC constraints (64QAM: ≥ 1 span, 16QAM: ≥ 6 spans, 4QAM ≥ 24 spans). The failed links have one-to-one correlation with violation of these EDC constraints, allowing for prediction of DBP requirements with a quarter of the total network traffic requiring the implementation of single-channel DBP. Also, note that all but two of the links are operable with less than 15 DBP steps for the whole link.
Figure 10.
Qeff as a function of network nodes for failed routes, shown by up-arrows in Fig. 5, for PM-mQAM in a dynamic mesh network. After EDC (black) and single-channel DBP (red: simplified, blue: full-precision 40 steps per span). Table shows the network parameters for each scenario and number of steps for single-channel simplified DBP.
These results give some indication of the benefit of flexible formats and DBP. For particular network studied (assuming one of the two failed links works with high precision DBP), if homogeneous traffic, employing 4QAM, is considered, a total network capacity of 4-Tb/scould be achieved. On the other hand, flexible m-ary QAM employing bandwidth allocation based on EDC performance limits only (not shown) enables ~60% increase in transmission capacity (6.8-Tb/s), while designs accounting for SC-DBP add a further 12% increase in capacity (7.7-Tb/s). Note that for traffic calculations based on EDC constraints, we assumed that the routes of Figure 10 would operate satisfactorily for the next format down and that there would be no increase in the nonlinear penalty experienced by any other channel. Further increase in capacity can be attained if pre-dispersion or limited WDM DBP are used, or if more format granularity is introduced (e.g. 8QAM and 32QAM) to exploit the remaining margin. In this example, 25% of transponders operating in single-channel DBP mode enable a 12% increase in capacity. One may therefore argue that in order to provide a the same increase in capacity without employing DBP, approximately 12% more channels would be required, consuming 12% more energy (assuming that the energy consumption is dominated by the transponders). In the case studied, since a ¼ of transponders require DBP, breakeven would occur if the energy consumption of a DBP transponder was 50% greater than a conventional transponder. Given that commercial systems allocate approximately 3-5% of their power to the EDC chipset [32], this suggests that the DBP unit used could be up to 16 times the complexity of the EDC chip. The results reported in Figure 10 with simplified DBP fall within this bound and highlight the practicality of simplified DBP algorithms.
Figure 11.
Qeff as a function of Gaussian filter order (35 GHz bandwidth) for a 6 dB margin from theoretical achievable OSNR. a) 4QAM; b) 16QAM; c) 64QAM. (up-arrows indicate that no errors were detected).
4.2.2. Filter order and BW dependence
Figure 11 shows the performance of a selection of links with less than 6 dB margin from the theoretical achievable OSNR (see Figure 9 for links used, we show only the links with the worst required OSNR in the case of 16QAM for clarity), as a function of the Gaussian filter order within each ROADM. As it is well-known, the transmission penalty decreases as filter order increases [33]. However, it can be seen that for higher-order modulation formats, the transmission performance saturates at lower filter orders, compared to lower-order formats. This trend is related to the fact that modulation formats traversing through greater number of nodes are more strongly dependent on the Gaussian order (attributed to known penalties from filter cascades [34,35]). For instance, the performance of 4QAM traffic is severely degraded as a function of Gaussian order, due to the higher number of nodes traversed by such format. 16QAM channels show relatively good tolerance to filter order due to reduced number of hops, however when greater than 3 nodes are employed, the performance again becomes a strong function of filter order. 64QAM is least dependent on filter order since no intermediate ROADMs are traversed. For any given modulation order, a minimum Gaussian order of ~3 enables the optimum performance to be within 1 dB of the performance for an ideal rectangular filter.
Figure 12.
Qeff as a function of Gaussian filter bandwidth (and filter order) for worst-case OSNR margin seen in Figure 6.8. a) 4QAM; b) 16QAM; c) 64QAM.
The simulated Qeff versus 3 dB bandwidth of the ROADM stages and filter order is shown in Figure 12, again for the worst-case required OSNR observed in Figure 9 for each modulation format. For lower bandwidths, the Qeff is degraded due to bandwidth constraints. With the exception of second order filters, bandwidths down to 35 GHz are sufficient for all the formats studied. However, consistent with previous analysis (in Figure 10), the impact of filter order on 64QAM is minimal and lower-order filters seem to have better performance than higher-order ones at 25GHz bandwidth. This is because when the signal bandwidth (28-GHz) exceeds the filter bandwidth, the lower order filters capture more of the signal spectra. However, this effect is visible in the case of 64QAM only since no nodes were traversed in this case, thereby avoiding the penalty from ROADM stages with lower filter orders.
5. Summary and future work
In this chapter we explored the network aspect of advanced physical layer technologies, including multi-level formats employing varying DSP, and solutions were proposed to enhance the capacity of static transport networks. It was demonstrated that that if the order of QAM is adjusted to maximize the capacity of a given route, there may be a significant degradation in the transmission performance of existing traffic for a given dynamic network architecture. Such degradations were shown to be correlated to the accumulated peak-to-average power ratio of the added traffic along a given path, and that management of this ratio through pre-distortion was proposed to reduce the impact of adjusting the constellation size on through traffic. Apart from distance constraints, we also explored limitations in the operational power range of network traffic. The transponders which autonomously select a modulation order and launch power to optimize their own performance were reported to have a severe impact on co-propagating network traffic. A solution was proposed to operate the transponders altruistically, offering lower penalties than network controlled fixed power approach. In the final part of our analysis, the interplay between different higher-ordermodulation channels and the effect of filter shapes and bandwidth of(de)multiplexers on the transmission performance, in a segment of pan-European optical network was explored. It was verified that if the link capacities are assigned assuming that digital back propagation is available, 25% of the network connections fail using electronic dispersion compensation alone. However, majority of such links can indeed be restored by employing single-channel digital back-propagation. Our results indicated some benefit of flexible formats and DBP in realistic mesh networks. We showed that for particular network studied, if homogeneous traffic, employing 4QAM is considered, a total network capacity of 4 Tb/s can be achieved. On the other hand, flexible m-ary QAM employing bandwidth allocation based on EDC performance limits enable ~60% increase in transmission capacity (6.8 Tb/s), while designs accounting for SC-DBP add a further 12% increase in capacity (7.7 Tb/s). Further enhancement in network capacity may be obtained through the use of intermediate modulation order, dispersion pre-compensation for nonlinearity control and the use of altruistic launch powers.
In terms of network evolution, the ultimate goal is to enable software-defined transceivers, where each node would switch itself to just-right modulation scheme and associated DSP, based on various physical layer, distance, power, and etc. constraints. Modeling of real-time traffic employing the content covered in this chapter, should motivate and pave the way for high capacity upgrade of currently deployed networks. In addition, modulation/DSP aware routing and wavelength assignment algorithms (e.g. DBP bandwidth aware wavelength allocation) would further enhance the transmission capacity.
Acknowledgments
This work was supported by Science Foundation Ireland under Grant numbers 06/IN/I969 and 08/CE/11523.
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Network design",level:"2"},{id:"sec_7_2",title:"4.2. Results and discussions",level:"2"},{id:"sec_7_3",title:"4.2.1. Nonlinear transmission with ideal ROADMs",level:"3"},{id:"sec_8_3",title:"4.2.2. Filter order and BW dependence",level:"3"},{id:"sec_11",title:"5. Summary and future work",level:"1"},{id:"sec_12",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'R.W. Tkach, "Scaling optical communications for the next decade and beyond," Bell Labs Technical Journal 14, 3-9 (2010).'},{id:"B2",body:'P. Winzer, “Beyond 100G Ethernet,” IEEE Communications Magazine 48, 26 (2010).'},{id:"B3",body:'S. Makovejsm, D. S. Millar, V. Mikhailov, G. Gavioli, R. I. Killey, S. J. Savory, and P. Bayvel, “Experimental Investigation of PDMQAM16 Transmission at 112 Gbit/s over 2400 km,” OFC/NFOEC, OMJ6 (2010).'},{id:"B4",body:'J. Yu, X. Zhou, Y. Huang, S. Gupta, M. Huang, T. Wang, and P. 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Chraplyvy, “Cross-phase modulation resonances in wavelength-division-multiplexed lightwave transmission,” ECOC, 309–310 (1998).'},{id:"B29",body:'D. Rafique, J. Zhao, and A. D. Ellis, "Digital back-propagation for spectrally efficient WDM 112 Gbit/s PM m-ary QAM transmission," Opt. Express 19, 5219-5224 (2011).'},{id:"B30",body:'D. Rafique and A.D. Ellis “Nonlinear and ROADM induced penalties in 28 Gbaud dynamic optical mesh networks employing electronic signal processing," Optics Express 19, 16739-16748, (2011).'},{id:"B31",body:'D. Rafique and A. D. Ellis, "Various Nonlinearity Mitigation Techniques Employing Optical and Electronic Approaches," Photonics Technology Letters, IEEE 23, 1838-1840 (2011).'},{id:"B32",body:'K. Roberts, “Digital signal processing for coherent optical communications: current state of the art and future challenges,” SPPCOM, SPWC1 (2011).'},{id:"B33",body:'F. Heismann, “System requirements for WSS filter shape in cascaded ROADM networks,” OFC/NFOEC, OThR1 (2010).'},{id:"B34",body:'T. Otani, N. Antoniades, I. Roudas, and T. E. Stern, “Cascadability of passband-flattened arrayed waveguidegrating filters in WDM optical networks,” Photonics Technology Letters 11, 1414-1416 (1999).'},{id:"B35",body:'M. Filer, and S. Tibuleac, “DWDM transmission at 10Gb/s and 40Gb/s using 25GHz grid and flexible-bandwidth ROADM,” OFC/NFOEC, NThB3 (2011).'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Danish Rafique",address:null,affiliation:'
Photonic Systems Group, Tyndall National Institute and Department of EE/Physics, University College Cork, Dyke Parade, Ireland
now with Nokia Siemens Networks, S.A., Lisbon, Portugal
'},{corresp:null,contributorFullName:"Andrew D. Ellis",address:null,affiliation:'
Photonic Systems Group, Tyndall National Institute and Department of EE/Physics, University College Cork, Dyke Parade, Ireland
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1. Introduction
Osteoporosis is a metabolic disorder causing bone mineral density to decrease and changing the bone structure [1]. It is a degenerative disease whose initial symptoms are not known with certainty. Someone who suffers from osteoporosis will usually experience complaints if the stage is severe [2, 3]. Bones with osteoporosis will experience a decrease in mechanical strength so they are prone to fracture, and will easily crack or become brittle if exposed to a hard object. It is characterized by low bone mass and structural breakdown of bone tissue. Some parts of the body that are at risk for osteoporosis include the spine, pelvis, femur, tibia, pelvic bones, wrist bones, and other bone parts dominated by the trabecular bone [4, 5, 6].
Osteoporosis can be diagnosed clinically using bone mineral density measurements. At present, bone densitometry is the standard method for diagnosis and treatment monitoring. However, it still possesses significant drawbacks because it cannot give information about the structural manifestations of the disease. Frequently, bone mineral density is analyzed using x-ray or ultrasound imaging methods. In x-ray imaging such as dual-energy x-ray absorptiometry (DEXA) and quantitative computer tomography (QCT), the intensity of the image is correlated to the mineral density of the tissue. In ultrasound, the intensity of the image reflects changes in the frequency and amplitude of sound waves traveling through tissue. X-ray procedures employ ionizing radiation, which can have a damaging impact in sufficient doses. Ultrasound, although harmless, offers only a small field of view, which can restrict measurement accuracy. In addition to bone density, bone quality which includes bone microarchitecture is also a concern. Recent developments in imaging, especially electron microscopy, can now give detailed information about the effects of architecture on disease progression and regression in response to treatment. However, before the diagnosis is made, of course, it is necessary to study and research in a sample or biological material to determine the process of bone remodeling and osteoporosis. The samples analyzed generally use rats as animal models. It takes a long time to make rats osteoporosis naturally. Therefore, rats were given treatment to condition the occurrence of osteoporosis. Some of the common actions taken to condition osteoporosis rats are by giving them a calcium-deficient diet or by performing ovariectomy on these rats [7, 8, 9, 10].
Several characterization tools that can be used to analyze mouse bones include X-ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Ultraviolet (UV)-visible Spectroscopy, or Atomic Absorption Spectroscopy (AAS). However, these tools provide information in the form of numbers or graphs. A promising imaging modality for morphological analysis of both cortical and trabecular bone is electron microscopy. The types of electron microscopes commonly used to analyze bone morphology are Scanning Electron Microscope (SEM) and Transmission Electron Microscope (TEM). Figure 1 illustrates the different imaging modalities, between SEM and TEM, which were used to analyze the morphology of the rat femur bone.
Figure 1.
(a) Image of SEM scans, and (b) image of TEM scans on femoral bones of rats from the osteoporosis group.
This review focuses on the emerging methodology of quantitative electron microscopy to assess the bone structure and morphology of osteoporotic rats. For more than 10 years, numerous approaches have been investigated to obtain quantitative image-based information on bone architecture, both trabecular bone, and cortical bone. An indirect method that does not require resolution at individual trabecular scales and can therefore be performed at any skeletal location, a recoverable component of the degree of total transverse relaxation. Therefore, electron microscopy-based structure analysis is technically demanding in terms of the required image acquisition. Other requirements that must be fulfilled involve motion correction and image registration, both of which are important to achieve the reproducibility required in repeated studies. The main targeted clinical application involves the prediction of fracture risk in femoral rats conditioned by osteoporosis due to ovariectomy.
2. Electron microscopy basics
An electron microscope is a type of microscope in which the illumination source is an electron beam. Illumination itself is a process of light coming to an object. There are electron microscopes that have high image resolution, even magnifying objects on the nanometer scale, which are produced by the controlled use of electrons in a vacuum captured on a fluorescent screen. The first electron microscope was introduced by an engineer and professor from German, Ernst Ruska (1906-1988), in 1931, and the same principles behind his prototype still dominate modern Ems [11, 12].
2.1 Principle
Electron microscopy uses signals generated by the interaction of the electron beam with the sample to gain information about its structure, morphology, and composition. The process and major parts of an electron microscope are:
Electrons are produced by the electron gun
The electron beam is concentrated on the sample by condenser lenses.
About 100 kV – 1000 kV accelerating voltage is employed between the tungsten filament and anode to move electrons down the column.
The sample to be observed should be fabricated very thin, or minimal 200 times thinner than that observed in optical microscopes. A very thin sample with a size of 20-100 nm was sliced and put in the sample holder.
The electronic beam traverses the sample and electrons are scattered relying on the thickness or refractive index of different areas of the sample.
The denser sample areas will scatter more electrons so that the image displayed in these areas will be darker because fewer electrons hit this area of the screen. Contrarily, the transparent areas will look brighter.
The electron beam leaving the sample is transferred to the objective lens which will make a magnified image.
The eyepiece then renders the final image for further magnification.
2.2 Types of electron microscope
Electron microscopes are categorized into three types based on operating styles:
2.2.1 Scanning electron microscope (SEM)
Nowadays, scanning electron microscopy (SEM) is a robust and effective imaging instrument. It is employed for scanning surfaces with a magnification from 1 m to 1 nm which depends on the hardware used to create the electron beam with various lenses and vacuum systems. Further, it is integrated with an energy dispersion spectrometer to combine the elemental analysis potential on the sample surface. SEM imaging has new characteristics those are backscattering electrons and secondary electrons which increase the scanning potential. The electron gun includes the main parts of the SEM components. With the existence of different magnetic lenses and vacuum systems, SEM has become a unique imaging tool [13].
The characterization method with SEM can deliver visual information on the morphology of the bone surface. SEM images can also be analyzed with an image processing program such as ImageJ, with the output in the form of a histogram of pixels that can provide information about the cavities in the bone and their distribution. From the histogram, bone quality can be known quantitatively by looking at the average pixel value and the percentage of cavity intensity. Schematically, the scan with SEM is shown in Figure 2.
Figure 2.
Schematic flow diagram of a scanning electron microscope [14].
From Figure 2, Electron Microscopes utilize electrons beam to illuminate a sample and construct an image with high magnification. The electrons from the electron source passing through the condenser lenses, aperture, scanning coil, objective lens, detectors and hit the gold-coated sample positioned on its holder. The condenser lenses center the electron beam in a specific area corresponding to the sample and thus generate the image. Electrons hit the sample surface thereby producing the secondary electrons which are detected by the secondary electron detector and transformed into a signal delivered to a monitor scanner.
Conventional SEM relies on the emanation of auxiliary electrons from the sample surface. As its large focus depth, the SEM is the EM analog of the stereo light microscope. It gives nitty-gritty pictures of the cell surface and the whole life form. It can moreover be worked for molecule checking and measuring, and for handle control. A SEM, it is so called, because it forms the image by scanning a focused electron beam onto the sample surface in a raster design. The primary electron beam interacting with atoms nearby the surface induces particle emission at any location in the raster. The emissions, for instance, include low energy secondary electrons, high energy scattering electrons, X-rays, and photons that then can be gathered by distinct detectors, and their relative quantities are converted to brightness at every equivalence point on the cathode ray tube (CRT). Due to the considerably smaller raster size than the CRT screen display, the resulting image is the image magnification of the sample. SEMs are equipped with proper equipment such as secondary detectors, backscattering, and X-rays, which can be functioned to analyze the topography and atomic composition of the sample and the surface distribution of immune labels [15, 16].
2.2.2 Transmission electron microscope (TEM)
Transmission electron microscopes are exploited to examine thin samples (parts of tissue, molecules, etc.) that electrons can traverse to produce a projected image. TEM is analogous to a conventional light microscope. Schematically, the scan with TEM is presented in Figure 3.
Figure 3.
Schematic flow diagram of a transmission electron microscope [14].
In Figure 3, the TEM applies high-energy electrons for imaging. It has been developed since the 1938’s. Its operation requires a very high voltage of about 500 − 1000 kV with a resolution reaching 0.1 nm. During TEM operation, the electrons beam is generated and transmitted through an ultra-thin sample. Then, the unscattered electrons are transmitted through the sample and hit the fluorescent screen at the bottom of the microscope, thus producing an image. By changing the gun voltage, the electron velocity can be modified which in turn changes the image. Commonly, TEM generates a grayscale image that exhibits lighter and darker regions. The lighter regions demonstrate regions with a large number of transmitted electrons while the darker ones represent a lower number and denser regions in the sample. The sample used in TEM should be prepared thin enough for electrons to be transmitted [17].
2.2.3 Reflection electron microscope (REM)
Another type of development of the electron microscope is the reflection electron microscope (REM). The REM is an electron microscope that has almost the same way of working as TEM, the difference is that REM uses the detection of electron reflections on the object’s surface. The sample is semi-infinite and the surface to be observed is almost parallel to the electron beam. The transmitted spot may or may not be observable, depending on the sample size as shown in Figure 4. This technique is specifically used in combination with the Reflection High Energy Electron Diffraction (RHEED) technique and the reflection high-energy loss spectrum (RHELS) technique.
Figure 4.
These ray diagrams illustrate (a) TEM and (b) REM [18].
REM could be a combination of imaging, diffraction, and spectroscopy procedures for the characterization of topography, crystal structure, and composition of surfaces of single crystals. High-energy electrons are occurring at looking points to the surface and reflected electrons are utilized to create a REM picture. Utilization of REM in analyzing osteoporosis in bone is still rarely done, because REM has several drawbacks including REM images are shortened in the direction of electron events and high resolution is only achieved in the normal direction, so that in analyzing surface topographic details more than one azimuth is needed. Meanwhile, bones that are not homogeneous can produce different images in each image. These techniques are applicable to metal [19], semiconductor [20], crystal surfaces [21], surface reconstructions and phase transformations [22], correlation between topographical features and reconstructions, directions, distribution, and motion of surface steps, dislocations on surfaces, nucleation and growth of films, and surface reactions [23].
Sample preparation for REM is the same as for other types of electron microscopy, i.e., it must be ensured that the surface is sufficiently flat and clean. The size of the sample should fit the microscope sample holder by about 3 mm. Then inserted into the electron microscope with a surface normal perpendicular to the optical axis. The nominal size of a REM sample is no more than 1 mm3 for a sample holder which gets 3 mm grids. Hence, the perceptible surface is about 1 mm or less. The lower restrain of the surface area is approximately 10 μm in diameter.
3. Illustrative examples of information acquired
Electron microscopy (EM) is a method to obtain biological and non-biological samples’ images with a high-resolution. This method is frequently employed in biomedical research to examine the detailed structure of tissues, cells, organelles, and macromolecular complexes. High-resolution EM images are produced from the use of electrons having very short wavelengths as the illumination source. EM is used in conjunction with numerous additional methods (e.g., thin cutting, immune labeling, and negative staining) to answer specific questions. EM images can deliver crucial information about the structural and morphological basis of bone. Several results of prior studies that investigated bone with EM are presented in Table 1.
Scanning electron microscopy (SEM)
Transmission electron microscopy (TEM)
The SEM image exhibited that the longer the time after ovariectomy, the greater the degree of damage seen in the tibial cavity [24]
Acicular crystals of apatite with approximate dimensions of ~20–30 nm by 5 nm. Gap zones and overlap zones in collagen fibrils [25]
The group of ovariectomized rats had histograms that increasingly shifted more black areas. Areas that were black or dark relate to cavities in the bone [26]
Apatite crystals that resemble tablet form, in the control group have a longer size, and for groups of ovariectomized rats there was a decrease in size both length and width [26]
Network organization in trabecular bone showing topographical details [27]
Different calcium phosphate minerals morphologies in the bone extracellular matrix: dense granules, globular aggregates of needle-like apatite, and mature fibrous minerals [28, 29]
Woven arrangement of aligned collagen fibrils in the ordered phase of trabecular bone [31]
Osteons and cement line delineating osteonal and interstitial bones [32]
Characteristic collagen banding pattern with a periodicity of ~67 nm [33]
Cross-sectional photomontage of an entire human rib bone [34]
Disorganized, entangled collagen fibrils without characteristic banding pattern in the disordered phase of trabecular bone [35]
Table 1.
Characterization of bone structure by SEM and TEM.
4. Image processing techniques
After obtaining the image from the electron microscope, the next step that needs to be done is to analyze the resulting image. Several applications that can be used to process the output image of an electron microscope, including ImageJ, Matlab, Python, OpenCV, Dragonfly, HyperSpy, and others. Each has its own advantages and disadvantages. However, on this occasion, we will review the analysis of images from electron microscopy using the ImageJ application. Figure 5 shows the results of SEM imaging of sham rat femur (a) and osteoporosis due to ovariectomy (b).
Figure 5.
SEM image of the rat femur bone, (a) sham, (b) osteoporosis due to ovariectomy.
Figure 5 shows an SEM image of a rat bone taken from the femur at 1000x magnification. Figure 5(a) SEM image of the femur bone of a 13-week-old sham rat, visually it can be seen that the surface is denser, there are no large cavities found. This is different from the SEM image shown in Figure 5(b), the image was taken from the femur bones of rats with osteoporosis due to ovariectomy treatment. The surface is clearly visible in the presence of wider cavities. The picture was taken when the rats were 21 weeks old or 9 weeks after being given ovariectomy. In accordance with the results of previous studies, the rats began to show the characteristics of osteoporosis at the ninth week since ovariectomy [36].
The characteristics of osteoporosis are clearer from the SEM image that has been analyzed with the help of the ImageJ application as shown in Figure 6. Figure 6(a) results of the analysis of the sham femur, the black color is thicker and fused together, indicating that the bone is still solid. This is supported by the results of the [37] study which showed that the bones of sham rats contained minerals such as calcium, magnesium, and phosphorus which were still normal. Meanwhile in Figure 6(b) the results of the analysis of the femur bones of rats treated with ovariectomy, it appears that the color is lighter, with the black parts that have started to break off and are thinner. This is because ovariectomy treatment can cause a decrease in the hormone estrogen in the body. With a decrease in the hormone estrogen, bone resorption by osteoclasts increases, and conversely osteoblast activity becomes inhibited [38, 39, 40]. As a result, bone density will also decrease, and osteoporosis occurs [41]. In addition, a decrease in the hormone estrogen can also increase the resorption of calcium (Ca) in bone, so that bone mass will decrease [42, 43]. Even the absorption of Ca in the intestine also decreases and the excretion of Ca through the kidneys increases [44, 45, 46]. All these conditions cause parathyroid hormone activity to increase and bone density to decrease which in turn triggers osteoporosis [47, 48].
Figure 6.
SEM image of rat femur after analysis with ImageJ, (a) sham, (b) osteoporosis due to ovariectomy.
Quantitatively several parameters that can be known from SEM image analysis with Image J application include particle diameter, percentage of voids, or porosity analysis. Particle diameter analysis for the same sample as previously mentioned is shown in Figure 7. Figure 7(a) shows the particle diameter size of the sham rat femur bone ranging from 1.5 to 34.4 μm. The particle diameter experienced a significant increase in the ovariectomized femur bone, the highest size reaching 150.2 μm as shown in Figure 7(b). Larger particle sizes tend to be more porous, as a result, are more brittle [49].
Figure 7.
Particle diameter size of the rat femur bone, (a) sham, (b) osteoporosis due to ovariectomy.
Likewise, TEM images can be analyzed and obtained the same information as for images from SEM. The output of the porosity analysis can also be carried out, some quantitative data can be obtained from the results of the porosity analysis, namely the pore volume and the percentage of pores. Some of these parameters can be used as a reference for osteoporosis analysis in bone, especially in experimental animal models.
5. Conclusions
Imaging at the nanoscale is very important to analyze the quality and structure of bone morphology. This review examines the images produced by electron microscopy of the femur bones of rats under sham conditions and osteoporosis due to ovariectomy. The scanned electron microscopy image with the help of the ImageJ application provides information that the femur bones of ovariectomized rats show signs of osteoporosis. Some of the parameters that characterize the cavities in the ovariectomized femur appear wider, with the edges of the cavity appearing to be cracked. In addition, the particle diameter also increased by an average of 77.16%. Therefore, electron microscopy is one of the best approaches, which can directly provide ultrastructural evidence for bone morphology, and furthermore, the results of this bone morphology analysis can provide insight into the characteristics and processes of osteoporosis.
Acknowledgments
This project was partially funded by “Hibah TADOK Universitas Indonesia” No. 1331/UN2.R3.1/HKP.05.00/2018.
Conflict of interest
The author declares no conflict of interest.
Appendices and nomenclature
AAS
Atomic Absorption Spectroscopy
DEXA
Dual-Energy X-Ray Absorptiometry
EM
Electron Microscopy
FTIR
Fourier Transform Infrared Spectroscopy
QCT
Quantitative Computer Tomography
REM
Reflection Electron Microscope
SEM
Scanning Electron Microscope
TEM
Transmission Electron Microscope
UV
Ultraviolet
XRD
X-Ray Diffraction
Units
kV
Kilovolt
nm
Nanometer
μm
Micrometer
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Here, we describe an experimental procedure for electron microscopy preparation and analysis of the resulting images, especially scanning and transmission electron microscopes, to analyze bone morphology in animal models of rats. Compared to other bone analyzers such as atomic absorption spectrophotometer, ultraviolet–visible spectroscopy, Fourier transform infrared spectroscopy, Raman spectroscopy, and X-ray diffraction, scanning and transmission electron microscopes are still important to strengthen visual analysis, and a better understanding of this method could be significant to examine bone morphology.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/81692",risUrl:"/chapter/ris/81692",signatures:"Neng Nenden Mulyaningsih and Rum Sapundani",book:{id:"11146",type:"book",title:"Electron Microscopy",subtitle:null,fullTitle:"Electron Microscopy",slug:null,publishedDate:null,bookSignature:"Dr. Mohsen Mhadhbi",coverURL:"https://cdn.intechopen.com/books/images_new/11146.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-946-9",printIsbn:"978-1-80355-945-2",pdfIsbn:"978-1-80355-947-6",isAvailableForWebshopOrdering:!0,editors:[{id:"228366",title:"Dr.",name:"Mohsen",middleName:null,surname:"Mhadhbi",slug:"mohsen-mhadhbi",fullName:"Mohsen Mhadhbi"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Electron microscopy basics",level:"1"},{id:"sec_2_2",title:"2.1 Principle",level:"2"},{id:"sec_3_2",title:"2.2 Types of electron microscope",level:"2"},{id:"sec_3_3",title:"2.2.1 Scanning electron microscope (SEM)",level:"3"},{id:"sec_4_3",title:"2.2.2 Transmission electron microscope (TEM)",level:"3"},{id:"sec_5_3",title:"2.2.3 Reflection electron microscope (REM)",level:"3"},{id:"sec_8",title:"3. Illustrative examples of information acquired",level:"1"},{id:"sec_9",title:"4. Image processing techniques",level:"1"},{id:"sec_10",title:"5. Conclusions",level:"1"},{id:"sec_11",title:"Acknowledgments",level:"1"},{id:"sec_14",title:"Conflict of interest",level:"1"},{id:"sec_13",title:"Appendices and nomenclature",level:"1"}],chapterReferences:[{id:"B1",body:'Rubin CD. Emerging concepts in osteoporosis and bone strength. Current Medical Research and Opinion. 2005;21(7):1049-1056. DOI: 10.1185/030079905X50525'},{id:"B2",body:'Sözen T, Özışık L, Başaran NÇ. An overview and management of osteoporosis. European Journal of Rheumatology. 2017;4(1):46. DOI: 10.5152/eurjrheum.2016.048'},{id:"B3",body:'Hirschfeld HP, Kinsella R, Duque GJ. Osteosarcopenia: Where bone, muscle, and fat collide. Osteoporosis International. 2017;28(10):2781-2790. DOI: 10.1007/s00198-017-4151-8'},{id:"B4",body:'Krug R, Burghardt AJ, Majumdar S, Link TM. High-resolution imaging techniques for the assessment of osteoporosis. Radiologic Clinics. 2010;48(3):601-621. DOI: 10.1016/j.rcl.2010.02.015'},{id:"B5",body:'Lorentzon M, Cummings SR. Osteoporosis: The evolution of a diagnosis. Journal of Internal Medicine. 2015;277(6):650-661. DOI: 10.1111/joim.12369'},{id:"B6",body:'Tenforde AS, Parziale AL, Popp KL, Ackerman KE. Low bone mineral density in male athletes is associated with bone stress injuries at anatomic sites with greater trabecular composition. The American Journal of Sports Medicine. 2018;46(1):30-36. DOI: 10.1177/0363546517730584'},{id:"B7",body:'Bae YJ, Kim MH. Calcium and magnesium supplementation improves serum OPG/RANKL in calcium-deficient ovariectomized rats. Calcified Tissue International. 2010;87(4):365-372. DOI: 10.1007/s00223-010-9410-z'},{id:"B8",body:'El Khassawna T, Böcker W, Govindarajan P, Schliefke N, Hürter B, Kampschulte M, et al. Effects of multi-deficiencies-diet on bone parameters of peripheral bone in ovariectomized mature rat. PLoS One. 2013;8(8):e71665. DOI: 10.1371/journal.pone.0071665'},{id:"B9",body:'Park B, Song HS, Kwon JE, Cho SM, Jang SA, Kim MY, et al. Effects of salvia miltiorrhiza extract with supplemental liquefied calcium on osteoporosis in calcium-deficient ovariectomized mice. BMC Complementary and Alternative Medicine. 2017;17(1):1-5. DOI: 10.1186/s12906-017-2047-y'},{id:"B10",body:'Quintero-García M, Gutiérrez-Cortez E, Rojas-Molina A, Mendoza-Ávila M, Del Real A, Rubio E, et al. 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Loss of DMP1 causes rickets and Osteomalacia and identifies a role for osteocytes in mineral metabolism. Nature Genetics. 2006;38:1310-1315. DOI: 10.1038/ng1905'},{id:"B31",body:'Tertuliano OA, Greer JR. The nanocomposite nature of bone drives its strength and damage resistance. Nature Materials. 2016;15:1195-1202. DOI: 10.1038/nmat4719'},{id:"B32",body:'Skedros JG, Holmes JL, Vajda EG, Bloebaum RD. Cement lines of secondary osteons in human bone are not mineral-deficient: New data in a historical perspective. The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology. 2005;286:781-803. DOI: 10.1002/ar.a.20214'},{id:"B33",body:'Jantou-Morris V, Horton MA, McComb DW. The Nano-morphological relationships between apatite crystals and collagen fibrils in ivory dentine. Biomaterials. 2010;31:5275-5286. DOI: 10.1016/j.biomaterials.2010.03.025'},{id:"B34",body:'Bereshiem AC, Pfeiffer SK, Grynpas MD, Alblas A. Use of backscattered scanning electron microscopy to quantify the bone tissues of midthoracic human ribs. American Journal of Physical Anthropology. 2019;168:262-278. DOI: 10.1002/ajpa.23716'},{id:"B35",body:'Al-Barghouthi BM, Mesner LD, Calabrese GM, Brooks D, Tommasini SM, Bouxsein ML, et al. Systems genetics in diversity outbred mice inform BMD GWAS and identify determinants of bone strength. Nature Communications. 2021;12(1):1-9. DOI: 10.1038/s41467-021-23649-0'},{id:"B36",body:'Mulyaningsih NN, Juwono AL, Soejoko DS, Astuti DA. Effect of giving Nano calcium phosphate diet on mineral content and function groups of ovariectomy tibia rats. Asian Journal of Applied Sciences. 2019;7(5):666-681. DOI: 10.24203/ajas.v7i5.5945'},{id:"B37",body:'Ooi FK, Norsyam WM, Ghosh AK, Sulaiman SA, Chen CK, Hung LK. Effects of short-term swimming exercise on bone mineral density, geometry, and microstructural properties in sham and ovariectomized rats. Journal of Exercise Science & Fitness. 2014;12(2):80-87. DOI: 10.1016/j.jesf.2014.09.001'},{id:"B38",body:'Chow J, Tobias JH, Colston KW, Chambers TJ. Estrogen maintains trabecular bone volume in rats not only by suppression of bone resorption but also by stimulation of bone formation. The Journal of Clinical Investigation. 1992;89:74-78. DOI: 10.1172/JCI115588'},{id:"B39",body:'Majeska RJ, Ryaby JT, Einhorn TA. Direct modulation of osteoblastic activity with estrogen. The Journal of Bone and Joint Surgery. American Volume. 1994;76:713-721. DOI: 10.2106/00004623-199405000-00013'},{id:"B40",body:'Qu Q , Perala-Heape M, Kapanen A, Dahllund J, Salo J, Vaananen HK, et al. Estrogen enhances differentiation of osteoblasts in mouse bone marrow culture. Bone. 1998;22:201-209. DOI: 10.1016/s8756-3282(97)00276-7'},{id:"B41",body:'Rocca WA, Grossardt BR, Shuster LT. Oophorectomy, menopause, estrogen treatment, and cognitive aging: Clinical evidence for a window of opportunity. Brain Research. 2011;1379:188-198. DOI: 10.1016/j.brainres.2010.10.031'},{id:"B42",body:'Holzherr ML, Retallack RW, Gutterdge DH, Price RI, Faulkner DI, Wilson SG, et al. Calcium absorption in postmenopausal osteoporosis: Benefit of HRT plus kalsitriol, but not HRT alone, in both malabsorbers and normal absorbers. Osteoporosis International. 2000;11:43-51. DOI: 10.1007/s001980050005'},{id:"B43",body:'Van den Heuvel EG, Schoterman MH, Muijs T. Transgalactooligo-saccharides stimulate calcium absorption in postmenopausal women. The Journal of Nutrition. 2000;130:2938-2942. DOI: 10.1093/jn/130.12.2938'},{id:"B44",body:'Hoenderop JG, Van der Kemp AW, Hartog A, Van de Graaf SF, Van Os CH, Willems PH, et al. Molecular identification of the apical Ca2+ channel in 1,25-dihydroxyvitamin D3-responsive epithelia. The Journal of Biological Chemistry. 1999;274:8375-8378. DOI: 10.1074/jbc.274.13.8375'},{id:"B45",body:'Van Abel M, Hoenderop JGJ, Dardenne O, Arnaud RST, Van Os CH, Van Leeuwen HJPTM, et al. 1,25-Dihydroxyvitamin D3-independent stimulatory effect of estrogen on the expression of ECAC1 in the kidney. Journal of the American Society of Nephrology. 2002;13:2102-2109. DOI: 10.1097/01.ASN.0000022423.34922.2A'},{id:"B46",body:'Van Abel M, Hoenderop JGJ, Van Der Kemp AW, Van Leeuwen JP, Bindels RJM. Regulation of the epithelial Ca2+ channels in small intestine as studied by quantitative mRNA detection. American Journal of Physiology. Gastrointestinal and Liver Physiology. 2003;285:978-985. DOI: 10.1152/ajpgi.00036.2003'},{id:"B47",body:'Khosla S, Atkinson EJ, Melton LJIII, Riggs BL. Effects of age and estrogen status on parathyroid hormone levels and biochemical markers of bone turnover in women: A population-based study. The Journal of Clinical Endocrinology and Metabolism. 1997;82:1522-1527. DOI: 10.1210/jcem.82.5.3946'},{id:"B48",body:'Notelovitz M. Estrogen therapy and osteoporosis: Principles & practice. The American Journal of the Medical Sciences. 1997;313(1):2-12. DOI: 10.1097/00000441-199701000-00002'},{id:"B49",body:'Noor Z, Sumitro SB, Hidayat M, Rahim AH, Taufik A. Assessment of microarchitecture and crystal structure of hydroxyapatite in osteoporosis. Universa Medicina. 2011;30:29-35. DOI: 10.18051/UnivMed.2011.v30.29-35'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Neng Nenden Mulyaningsih",address:"nengnendenmulyaningsih@gmail.com",affiliation:'
Department of Physics Education, Universitas Indraprasta PGRI, Indonesia
Department of Electromedical Engineering, Universitas Muhammadiyah Purwokerto, Indonesia
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IAH/ACS can present as acute, hyperacute, or chronic and aetiologically can be classified into primary, secondary and tertiary. It affects various body systems including respiratory, cardiovascular, central nervous, gastrointestinal, renal and hepatic systems adversely and results in deleterious consequences. Management of IAH/ACS is based on the evacuation of intra-luminal and extra-luminal contents, improving the abdominal wall compliance. There are various surgical techniques recommended for preventing the development of IAH/ACS and mitigating the negative consequences. New medical therapies such as octreotide, tissue plasminogen activator, melatonin and vitamin C are being investigated and non-pharmacological methods such as continuous negative abdominal pressure (CNAP) have been introduced recently but are still experimental and not recommended for routine use.",signatures:"Abdulgafoor M. Tharayil, Adel Ganaw, Syed Abdulrahman, Zia M.\nAwan and Sujith M. Prabhakaran",authors:[{id:"199923",title:"Dr.",name:"Adel. E. Ahmad",surname:"Ganaw",fullName:"Adel. E. 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Smoking and hypertension are the most important risk factors of subarachnoid hemorrhage. Rupture of cerebral aneurysm leads to rapid spread of blood into cerebrospinal fluid and subsequently leads to sudden increase of intracranial pressure and severe headache. Subarachnoid hemorrhage is associated with neurological (such as re‐bleeding and vasospasm) and systemic (such as myocardial injury and hyponatremia) complications that are causes of high mortality and morbidity. Although patients with poor‐grade subarachnoid hemorrhage are at higher risk of neurological and systemic complications, the early and aggressive management of this group of patient has decreased overall mortality by 17% in last 40 years. Early aneurysm repair, close monitoring in dedicated neurological intensive care unit, prevention, and aggressive management of medical and neurological complications are the most important strategies to improve outcome.",signatures:"Adel E. Ahmed Ganaw, Abdulgafoor M. 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Hardcover, Printed Full Colour
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Our books are available hardcover, printed in full colour and produced to the highest standards on PEFC™ and FSC certified paper, complying with principles of responsible forestry worldwide. The paper size is 180 x 260 mm (7 x 10.2 inches).
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IntechOpen works with award winning print-houses and we hold to the fact that all of our printed products are of the highest quality.
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Prices and Discounts
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IntechOpen books retail price range is:
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All IntechOpen contributors can buy the print copies of books for an Author Exclusive price with discounts from 30% to 50% on retail price. Log in to your Author Panel to purchase a book at the discounted price.
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We currently accept the following payment options:
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When paying with a credit card, you will be redirected to the PayPal.com online payment portal.
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IntechOpen will help you complete your payment safely and securely, keeping your personal, professional and financial information safe.
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In accordance with the best security practice, we do not accept card orders via email.
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General Handling and Delivery Info
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The combined printing and delivery time for orders vary from 7-15 business days, depending on the printed quantity and destination. This period does not include any customs clearance difficulties that may arise and that are beyond our control. Once your order has been printed and shipped, you will receive a confirmation email that includes your DHL tracking number. You can then track your order at www.dhl.com.
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If you do not receive your order within 30 days from the date your order is shipped, please contact us to inquire about the shipping status at orders@intechopen.com.
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Tax and Customs
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Tax: Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.
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P.O. Boxes
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P.O. Boxes cannot be used as a Ship-To Address.
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Restricted Countries
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IntechOpen partners do not provide shipping service from Europe to the countries listed below. Please refrain from mailing items addressed to the countries listed below, until further notice.
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Return Policy
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China Publishers Services Ltd - CPS
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LSR Libros Servicios y Representaciones S.A. de C.V
Our books are available hardcover, printed in full colour and produced to the highest standards on PEFC™ and FSC certified paper, complying with principles of responsible forestry worldwide. The paper size is 180 x 260 mm (7 x 10.2 inches).
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Print On Demand (POD)
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\n\t
IntechOpen Books are printed specifically for your order
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Ordered, printed, and delivered in 7-15 business days
\n\t
Available for purchase at any time no minimum or maximum threshold on book order quantity
\n
\n\n
IntechOpen works with award winning print-houses and we hold to the fact that all of our printed products are of the highest quality.
\n\n
Prices and Discounts
\n\n
IntechOpen books retail price range is:
\n\n
100 - 159 GBP ex. VAT (available in USD and EUR)
\n\n
Discounts available:
\n\n
\n\t
All IntechOpen contributors can buy the print copies of books for an Author Exclusive price with discounts from 30% to 50% on retail price. Log in to your Author Panel to purchase a book at the discounted price.
\n\t
Libraries are offered a 20% discount.
\n\t
Book resellers receive a 20% standard trade discount.
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Bulk discounts are granted for orders of 10 copies and more.
\n\n
There is no minimum or maximum threshold on the quantity of book orders.
\n\n
Terms and Conditions
\n\n
Payment Terms
\n\n
Orders have to be paid in advance and before printing. We accept payment in GBP, EUR and USD.
\n\n
We currently accept the following payment options:
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\n\t
Credit Card
\n\t
PayPal
\n\t
Bank Transfer
\n
\n\n
When paying with a credit card, you will be redirected to the PayPal.com online payment portal.
\n\n
IntechOpen will help you complete your payment safely and securely, keeping your personal, professional and financial information safe.
\n\n
In accordance with the best security practice, we do not accept card orders via email.
\n\n
General Handling and Delivery Info
\n\n
The combined printing and delivery time for orders vary from 7-15 business days, depending on the printed quantity and destination. This period does not include any customs clearance difficulties that may arise and that are beyond our control. Once your order has been printed and shipped, you will receive a confirmation email that includes your DHL tracking number. You can then track your order at www.dhl.com.
\n\n
If you do not receive your order within 30 days from the date your order is shipped, please contact us to inquire about the shipping status at orders@intechopen.com.
\n\n
Tax and Customs
\n\n
Tax: Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.
\n\n
Customs: free shipping does not include any duties, taxes or clearing charges levied by the destination country. These charges are the responsibility of the customer and will vary from country to country.
\n\n
P.O. Boxes
\n\n
P.O. Boxes cannot be used as a Ship-To Address.
\n\n
Restricted Countries
\n\n
IntechOpen partners do not provide shipping service from Europe to the countries listed below. Please refrain from mailing items addressed to the countries listed below, until further notice.
\n\n
When ordering our books from the countries listed below, please provide an alternative mailing address. For any further assistance, please contact us at orders@intechopen.com.
\n\n
Restricted Ship-to Countries:
\n\n
\n\t
Afghanistan
\n\t
Belarus
\n\t
Central African Republic
\n\t
Cote d'Ivoire
\n\t
Congo
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Cuba (US only)
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Eritrea
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Iran, Islamic Republic of
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Iraq
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Korea, DPR
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Lebanon
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Libya
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Mali
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Myanmar
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Niger
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Somalia
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South Sudan
\n\t
Sudan
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Syria
\n\t
Yemen
\n\t
Zimbabwe
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\n\n
Return Policy
\n\n
POD products are non-returnable and non-refundable, except in the event of poor print quality or an error in quantity. If we delivered the item to you in error or the item is faulty, please contact us.
\n\n
Inspect your order carefully when it arrives. Any problems should be immediately reported to orders@intechopen.com.
\n\n
Representatives
\n\n
Print copies of our publications are most often purchased by universities, libraries, institutions and academia personnel, hence increasing the visibility and outreach of our authors' published work among science communities and institutions.
\n\n
Our books are available at our direct Print Sales Department and through selected representatives throughout the world.
\n\n
Books International
\n\n
Representative for: Brunei, Cambodia, Indonesia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam (ASEAN)
\n\n
China Publishers Services Ltd - CPS
\n\n
Representative for: China, Taiwan, Hong Kong
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India - CBS Publishers & Distributors Pvt. Ltd.
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Representative for: India, Bangladesh, Pakistan, Sri Lanka, Bhutan, Nepal, Maldives, Iran, Algeria, Bahrain, Egypt, Iraq, Israel, Jordan, Kuwait, Lebanon, Libya, Malta, Morocco, Oman, Qatar, Saudi Arabia, Syria, Tunis, United Arab Emirates and Yemen
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LSR Libros Servicios y Representaciones S.A. de C.V
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. 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We explored the frequently used Toda–Yamamoto model (TY) model, by adopting the TY Modified Wald (MWALD) test approach to causality, Forecast Error Variance Decomposition (FEVD) and Impulse Response Functions (IRFs).The study covered the period 1995 to 2018 (monthly basis), and our findings from MWALD test indicated that there is a uni-directional causality of the log of oil price (lnoilpr) to log of the exchange rate (lnexchr) at 10% level of significance, also there is a contemporaneous response of log of consumer price index (lncpi) to log of exchange rate (lnexchr) and log of interest rate (lnintr), and jointly (lnoilpr, lncpi and lnintr) granger cause lncpi. Also at 5% level of significance lnintr responded due to positive change in lnoilpr and lnexchr, and jointly causes lnintr at 5% level of significance. This is complimented with our findings in FEVDs, and IRFs. The empirical analyses shows that oil price is a strong determining factor of exchange rate, cost of borrowing and directly influences inflationary or deflationary tendencies in Nigeria.",book:{id:"9544",slug:"global-trade-in-the-emerging-business-environment",title:"Global Trade in the Emerging Business Environment",fullTitle:"Global Trade in the Emerging Business Environment"},signatures:"Jelilov Gylych, Abdullahi Ahmad Jibrin, Bilal Celik and Abdurrahman Isik",authors:[{id:"328290",title:"Associate Prof.",name:"Gylych",middleName:null,surname:"Jelilov",slug:"gylych-jelilov",fullName:"Gylych Jelilov"},{id:"333297",title:"Dr.",name:"Abdullahi",middleName:null,surname:"Ahmad Jibrin",slug:"abdullahi-ahmad-jibrin",fullName:"Abdullahi Ahmad Jibrin"},{id:"333298",title:"Dr.",name:"Bilal",middleName:null,surname:"Celik",slug:"bilal-celik",fullName:"Bilal Celik"},{id:"333299",title:"Dr.",name:"Abdurrahman",middleName:null,surname:"Isik",slug:"abdurrahman-isik",fullName:"Abdurrahman Isik"}]},{id:"55527",doi:"10.5772/intechopen.69190",title:"Children’s Consumer Behavior",slug:"children-s-consumer-behavior",totalDownloads:2804,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Children’s consumer behavior is a field that has lately been given attention by marketing, psychology, sociology, and pedagogy. The reason is the understanding that a child is an important part that has an influence on family’s shopping. At the same time, there is a concern about the abuse of natural child naivety and trustfulness. That is why the experts turned their focus on the knowledge about child’s cognitive development and all manners of consumer socialization and economic socialization. It is possible to accept protective measures to ensure the safety of the child consumer only when we know how the consumer develops. The chapter is therefore focused on these essential topics, and the research demonstrates the consumer and economic socialization of the children in preoperational period of the cognitive development from the perspective of the children and their parents.",book:{id:"5885",slug:"consumer-behavior-practice-oriented-perspectives",title:"Consumer Behavior",fullTitle:"Consumer Behavior - Practice Oriented Perspectives"},signatures:"Blandína Šramová",authors:[{id:"201698",title:"Associate Prof.",name:"Blandína",middleName:null,surname:"Šramová",slug:"blandina-sramova",fullName:"Blandína Šramová"}]},{id:"57321",doi:"10.5772/intechopen.71268",title:"Consumer between Web 2.0 and Web 3.0",slug:"consumer-between-web-2-0-and-web-3-0",totalDownloads:1339,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Along with the digital technologies’ advance over the last decade, more sales and marketing channels have emerged, causing consumers to change their habits and purchasing behavior. This paper appears in the context of such an issue and aims both to present the increasingly omni-channel nature of the consumer behavior and to identify and emphasize the needs and expectations of the customers, in line with the development of the Internet. Therefore, the paper presents the evolution of the modern consumer considering the Web conversion from a static environment to an interactive community. During the two intertwined phases of Web development presented in this paper, namely Web 2.0 and Web 3.0, customers have evolved from a highly informed and socially connected to a more empowered and engaged customer, defined by the ability to adapt and apply new technologies to meet their specific individual needs and seeking for an even emotional bond with brands. The paper also exposes how the social media landscape has generated a power shift from the business organizations toward the consumer and how social media can be a powerful tool with which consumers can react if they feel that their rights are aggrieved by business organizations.",book:{id:"5885",slug:"consumer-behavior-practice-oriented-perspectives",title:"Consumer Behavior",fullTitle:"Consumer Behavior - Practice Oriented Perspectives"},signatures:"Cristian Bogdan Onete, Irina Albăstroiu and Răzvan Dina",authors:[{id:"212932",title:"Dr.",name:"Bogdan",middleName:null,surname:"Onete",slug:"bogdan-onete",fullName:"Bogdan Onete"}]},{id:"55200",doi:"10.5772/intechopen.68743",title:"Understanding Consumer Behavior toward Social Enterprise Products",slug:"understanding-consumer-behavior-toward-social-enterprise-products",totalDownloads:1927,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Social enterprise is an emerging global trend to solve society’s major problems through the means of business. After microfinance, Yunus Social Business (Bangladesh) is now getting worldwide attention for its distinctive principles and application. This study attempted to investigate the impact of consumer knowledge and understanding about the social enterprises on their buying behavior. Moreover, consumers’ perceived ethical and environmental awareness or rational considerations have also been investigated. Descriptive statistics shows that 26% respondents have clear understanding about social enterprise and 80% respondents believe that social enterprises can contribute to achieve sustainable development goals (SDGs). Findings of regression analysis show that consumers’ purchase decisions are not influenced by their prior knowledge about social enterprise, ethical perception, and attitude, rather their decision is highly influenced by the information available on the product (P value.001, β.602) and rational behavior that are stimulated through the rational pricing and availability of the product (P value.000, β.258). Thus, the study draws conclusion that to get increased consumer response, social enterprises should provide adequate information about their social and environmental mission and must maintain highest quality and ethical standards to create a trusted brand for all ethical, ecological, and rational consumers.",book:{id:"5885",slug:"consumer-behavior-practice-oriented-perspectives",title:"Consumer Behavior",fullTitle:"Consumer Behavior - Practice Oriented Perspectives"},signatures:"Farhana Ferdousi",authors:[{id:"198685",title:"Dr.",name:"Farhana",middleName:null,surname:"Ferdousi",slug:"farhana-ferdousi",fullName:"Farhana Ferdousi"}]},{id:"75991",doi:"10.5772/intechopen.97046",title:"Expatriate Satisfaction and Motivation in Multinational Corporations",slug:"expatriate-satisfaction-and-motivation-in-multinational-corporations",totalDownloads:202,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Employee satisfaction and motivation have an important influence on individual employees and the performance of companies. In international business and marketing, where expatriates play important roles, regional cultures and institutional factors impact their satisfaction and motivation. This chapter aims to find out what kind of regional cultures and institutions have an impact on employee satisfaction and motivation in multinational corporations (MNCs), using theoretical analysis and the results from around 100 Japanese expatriates’ questionnaires. It was possible to find the satisfaction and motivation-related characteristics of expatriates in MNCs from the results of their interviews and the questionnaire survey, which indicated that Japanese expatriates working in the USA, Singapore, and Indonesia had a higher job satisfaction degree than those working in cultural regions, such as China, Taiwan, and Australia. Moreover, the results showed that compared with other industries, in the sales and marketing industry, the Japanese expatriates had the lowest satisfaction degree after repatriation, although their satisfaction degree was higher during expatriation and after a career change. The reasons relating to regional cultures and institutions, and some methods and human resource management practices in international marketing and trading that were analyzed are expected to raise expatriates’ satisfaction and motivation.",book:{id:"9544",slug:"global-trade-in-the-emerging-business-environment",title:"Global Trade in the Emerging Business Environment",fullTitle:"Global Trade in the Emerging Business Environment"},signatures:"Yanghua Zhou",authors:[{id:"342691",title:"Associate Prof.",name:"Yanghua",middleName:null,surname:"Zhou",slug:"yanghua-zhou",fullName:"Yanghua Zhou"}]}],mostDownloadedChaptersLast30Days:[{id:"73798",title:"Impact of Oil Price Fluctuation on the Economy of Nigeria, the Core Analysis for Energy Producing Countries",slug:"impact-of-oil-price-fluctuation-on-the-economy-of-nigeria-the-core-analysis-for-energy-producing-cou",totalDownloads:988,totalCrossrefCites:3,totalDimensionsCites:4,abstract:"The study aims to find the short-run empirical analyses of the impact of oil price fluctuation on the monetary instrument (Exchange rate, Inflation, Interest rate) in Nigeria. We explored the frequently used Toda–Yamamoto model (TY) model, by adopting the TY Modified Wald (MWALD) test approach to causality, Forecast Error Variance Decomposition (FEVD) and Impulse Response Functions (IRFs).The study covered the period 1995 to 2018 (monthly basis), and our findings from MWALD test indicated that there is a uni-directional causality of the log of oil price (lnoilpr) to log of the exchange rate (lnexchr) at 10% level of significance, also there is a contemporaneous response of log of consumer price index (lncpi) to log of exchange rate (lnexchr) and log of interest rate (lnintr), and jointly (lnoilpr, lncpi and lnintr) granger cause lncpi. Also at 5% level of significance lnintr responded due to positive change in lnoilpr and lnexchr, and jointly causes lnintr at 5% level of significance. This is complimented with our findings in FEVDs, and IRFs. The empirical analyses shows that oil price is a strong determining factor of exchange rate, cost of borrowing and directly influences inflationary or deflationary tendencies in Nigeria.",book:{id:"9544",slug:"global-trade-in-the-emerging-business-environment",title:"Global Trade in the Emerging Business Environment",fullTitle:"Global Trade in the Emerging Business Environment"},signatures:"Jelilov Gylych, Abdullahi Ahmad Jibrin, Bilal Celik and Abdurrahman Isik",authors:[{id:"328290",title:"Associate Prof.",name:"Gylych",middleName:null,surname:"Jelilov",slug:"gylych-jelilov",fullName:"Gylych Jelilov"},{id:"333297",title:"Dr.",name:"Abdullahi",middleName:null,surname:"Ahmad Jibrin",slug:"abdullahi-ahmad-jibrin",fullName:"Abdullahi Ahmad Jibrin"},{id:"333298",title:"Dr.",name:"Bilal",middleName:null,surname:"Celik",slug:"bilal-celik",fullName:"Bilal Celik"},{id:"333299",title:"Dr.",name:"Abdurrahman",middleName:null,surname:"Isik",slug:"abdurrahman-isik",fullName:"Abdurrahman Isik"}]},{id:"57276",title:"Introductory Chapter: Consumer Behavior in New Era",slug:"introductory-chapter-consumer-behavior-in-new-era",totalDownloads:1457,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"5885",slug:"consumer-behavior-practice-oriented-perspectives",title:"Consumer Behavior",fullTitle:"Consumer Behavior - Practice Oriented Perspectives"},signatures:"Şenay Sabah",authors:[{id:"187210",title:"Dr.",name:"Senay",middleName:null,surname:"Sabah",slug:"senay-sabah",fullName:"Senay Sabah"}]},{id:"55200",title:"Understanding Consumer Behavior toward Social Enterprise Products",slug:"understanding-consumer-behavior-toward-social-enterprise-products",totalDownloads:1921,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Social enterprise is an emerging global trend to solve society’s major problems through the means of business. After microfinance, Yunus Social Business (Bangladesh) is now getting worldwide attention for its distinctive principles and application. This study attempted to investigate the impact of consumer knowledge and understanding about the social enterprises on their buying behavior. Moreover, consumers’ perceived ethical and environmental awareness or rational considerations have also been investigated. Descriptive statistics shows that 26% respondents have clear understanding about social enterprise and 80% respondents believe that social enterprises can contribute to achieve sustainable development goals (SDGs). Findings of regression analysis show that consumers’ purchase decisions are not influenced by their prior knowledge about social enterprise, ethical perception, and attitude, rather their decision is highly influenced by the information available on the product (P value.001, β.602) and rational behavior that are stimulated through the rational pricing and availability of the product (P value.000, β.258). Thus, the study draws conclusion that to get increased consumer response, social enterprises should provide adequate information about their social and environmental mission and must maintain highest quality and ethical standards to create a trusted brand for all ethical, ecological, and rational consumers.",book:{id:"5885",slug:"consumer-behavior-practice-oriented-perspectives",title:"Consumer Behavior",fullTitle:"Consumer Behavior - Practice Oriented Perspectives"},signatures:"Farhana Ferdousi",authors:[{id:"198685",title:"Dr.",name:"Farhana",middleName:null,surname:"Ferdousi",slug:"farhana-ferdousi",fullName:"Farhana Ferdousi"}]},{id:"76462",title:"The COVID-19 Pandemic and African Continental Free Trade Area (AfCFTA): Exploring Potential Impacts and Developmental Implications",slug:"the-covid-19-pandemic-and-african-continental-free-trade-area-afcfta-exploring-potential-impacts-and",totalDownloads:326,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The COVID-19 pandemic has caused nontrivial disruptions to global value chains and affected the lives of many people, particularly the poor across the world. The outbreak of the COVID-19 pandemic in the early part of 2020 in Africa, happened during a time that African countries had just signed one of the world’s largest trade agreements and therefore began introducing continental-level structures to strengthen free trade among member states. This chapter examines the potential effect of the COVID-19 pandemic on the agenda for free trade in Africa, both in the short and in the long-term. Specifically, the chapter explores the trading environment of firms in Africa and highlights generally the challenges faced when implementing a trade agreement in the middle of a pandemic. It also, on the other hand, highlights how trade agreement in a middle of a pandemic can be a good thing to minimize the effect of the pandemic on poor and vulnerable households in Africa. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. 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