Open access peer-reviewed chapter

Synthesis of Nano-Optical Elements for Forming 3D Images at Zero Diffraction Order

Written By

Anton Goncharsky and Svyatoslav Durlevich

Submitted: 06 June 2022 Reviewed: 28 June 2022 Published: 18 August 2022

DOI: 10.5772/intechopen.106145

From the Edited Volume

Holography - Recent Advances and Applications

Edited by Joseph Rosen

Chapter metrics overview

92 Chapter Downloads

View Full Metrics

Abstract

A method is proposed to compute and synthesize a nano-optical element to produce a new visual effect: a 3D image formed in the vicinity of zero diffraction order. Usual relief rainbow holograms or OVDs can form 3D effect, but at +1 or − 1 diffraction order only and they provide 3D parallax in left/right direction only, and after rotation/inclination of an element, a 3D image changes its color and further disappears completely. The new visual effect provides with full 3D parallax. Moreover, a 3D zero-order image is well visible when an optical element is rotated through 360 degrees; the color of 3D image does not depend on the viewing angle. A synthesis technology is developed incorporating the computation of scattering patterns in elementary areas, computation of the phase function of the entire optical element, and the formation of its microrelief by using e-beam lithography. The microrelief consists of multilevel kinoforms with an accuracy of 10 nm in terms of depth. It was demonstrated by experimental results that the new visual effect is easy for visual perception under white light illumination. A sample of nano-optical element is manufactured, which when illuminated by white light, forms a 3D image in the vicinity of zero-order of diffraction (video available at: https://bit.ly/3QtzxbI).

Keywords

  • DOE
  • CGH
  • 3D imaging
  • e-beam lithography
  • kinoform
  • nano-optical elements
  • ill-posed problems
  • surface relief holograms

1. Introduction

The development of methods for synthesizing optical elements to form 3D images began in the 1970s after Denis Gabor was awarded the Nobel Prize for the development of holographic recording principle [1]. Gabor’s follower [2] developed method for recording 3D holograms, which formed 3D images when illuminated by a white point light source. It was the invention of the surface relief holograms, which became known as rainbow holograms. These holograms formed visual 3D parallax in the left/right direction only, and when tilted up/down, the 3D image changes its color, that’s why they were called rainbow holograms. The 3D effect was formed in 1st diffraction order. In 1976, it was suggested the approach for forming 3D image at 1st diffraction order using binary computer-generated holograms [3]. Later, it was invented efficient technology of rainbow holograms microrelief replication (embossing technology) and rainbow holograms became widely used for protection against counterfeit [4]. The first optical security element used on Visa credit cards was a rainbow hologram with the original recorded on the optical table using an analog laser recording technique. At the same time, such optical elements appeared on bank notes and IDs.

The microrelief can be formed using both electron-beam lithography and optical recording methods. Modern approaches for synthesizing optical elements using laser microrelief recording have a resolution of 0.5 microns at best [5, 6], which is insufficient for the recording of asymmetric microrelief of optical elements that produce 3D full-parallax images. In this chapter, we form asymmetric microrelief of nano-optical elements using e-beam lithography with a resolution of 0.1 microns [7, 8]. This makes it possible to synthesize nano-optical elements that cannot be reproduced using standard widespread methods of microrelief recording based on optical origination techniques.

E-beam lithography has already been used to synthesize nano-optical elements that form 3D images [9, 10]. In these studies, a 3D image was formed at the first order of diffraction with the microrelief of the optical element shaped using symmetrical structures. The resulting 3D images can be observed only within a limited range of viewing angles near the first order of diffraction when the element is tilted left/right and up/down; however, the 3D image formed disappears when the element is rotated.

We discuss the possibilities of synthesizing nano-optical elements to form 3D images at the zero-order of diffraction. This is the first time that methods of synthesizing nano-optical elements to form 3D images in the zero-order of diffraction have been developed. For such elements, the 3D effect can be observed near the zero-order of diffraction both by tilting the element and rotating it by 360 degrees.

Advertisement

2. Formulation of the problem of the synthesis of nano-optical elements for the formation of 3D images at zero diffraction order

The standard scheme for observing a 3D image formed by a rainbow hologram [2] is shown in Figure 1a, where the area of observation (the area in which the observer’s eyes can be located) is indicated by the yellow band. The 3D image is formed in the first order of diffraction, and the observation area is a limited narrow band. An observer can see 3D parallax in the left/right direction only. When the optical element is slightly tilted or rotated, observer’s eyes leave the area of observation, and the 3D image disappears for an observer.

Figure 1.

Scheme for observing 3D image: a) formed by rainbow hologram at 1st diffraction order, b) formed by CGH with full 3D parallax at 1st diffraction order, and c) in the vicinity of zero order.

Figure 1b shows the observation scheme of a 3D image with full parallax at the 1st diffraction order [11]. The nano-optical element consists of calculated binary kinoforms recorded by e-beam lithography. Here the area of observation is a thick rectangle. An observer can see 3D parallax in both left/right and up/down directions. However, the viewing angle range is also limited, and after rotation of the optical element observer’s eyes leave the area of observation and the 3D image disappears.

Figure 1c shows the new proposed authors’ observation scheme of a 3D image that is formed in the vicinity of the zero order of diffraction. The observation area is a large square centered on the zero order. As long as observer’s eyes are within this region, an observer sees a full parallax 3D image, and the 3D image is observed over a wide range of tilt angles and even when the optical element is rotated through a full range of 360 degrees.

Figure 2 schematically shows the formation of 3D images by a flat reflecting optical phase element at diffraction angles within plus or minus 30° of the zero order.

Figure 2.

Schematic diagram of the formation of 3D images by a flat optical element.

The optical element is located in the z = 0 plane. Figure 2 shows a fragment of observation points (five points along the horizontal direction and three points along the vertical direction). The centers of observation points are marked with the letter “R”. The number of frames is several hundred for real optical elements that form a zero-order 3D image. The light source “S” is located in the Oxz plane of the Cartesian coordinate system. The source is located at an angle of θ0 to the Oz axis. The direction to the zero order is denoted as L0. At different angles φ,θ, the observer sees different 2D frames Kn, n = 1 … N of a 3D image. Here, φ and θ are angles in the spherical coordinate system. The angle θ is counted from the Oz axis, and φ is the azimuthal angle. The ray L in Figure 2 points towards one of the observation points and has angular coordinates φ,θ. Let us assume that the angles (φn, θn) set the directions towards the observation point of frame Kn, n = 1 … N.

Figure 3 shows the observation scheme in the Oxz plane at small diffraction angles. The diffraction angle is defined as the angle between the zero order of diffraction and the direction towards the observation point. Let us denote the diffraction angle as β. For small diffraction angles, the angle is defined by the formula β = θ-θ0. A 3D image is observed at diffraction angles within 30° of the zero order of diffraction. The angle θ0 between the light source S and the normal to the plane of the optical element coinciding with the Oz axis in the diagram determines the zero-order diffraction by beam L0.

Figure 3.

Scheme of observation at small diffraction angles.

Synthesis of a nano-optical element to form zero-order 3D images is quite a complex and challenging task. If we use a grid with a step of 0.1 x 0.1 micron for an optical element of, for example, 28 × 33 mm2 size, then the number of points at which it is necessary to calculate the phase function of the optical element is about 1011. However, the proposed method for calculating the phase function of an optical element efficiently solves this problem.

The method that we propose for the first time in this chapter allows the use of different 3D models to form 3D greyscale images. To demonstrate the method for calculating the phase function of the diffractive optical element (DOE) a 3D object was chosen. Figure 4 shows a computer 3D model of the object.

Figure 4.

3D model of the object.

Figure 5 shows a fragmented set of the 2D frames of the 3D computer model, and Figure 6 presents a scheme of partitioning the flat optical element into the elementary regions (Gij). The size of the elementary region does not exceed 80 microns, which is beyond the resolution of the human eye.

Figure 5.

Fragment of the 2D-frames of the 3D computer model.

Figure 6.

Schematic diagram of the partitioning of an optical element into elementary regions.

Figure 7 schematically shows the formation of the angular pattern in the elementary area Gij i = 1… L, j = 1… M. The formation involves all rays from the center of the elementary area to all observation points (R). The ray Ln directed towards the center of the observation point Kn is defined by the angles φn, θn. The number of rays coincides with the number of 2D frames of the 3D image and is equal to several hundred. The intensity of beam Ln in the direction (φnn) for each n, n = 1… N, is determined as follows. The brightness of point (xi,yj) in frame Kn determines the intensity of beam Ln.

Figure 7.

Schematic diagram of the formation of the angular pattern of the area Gij.

The angular pattern of the light scattered from each elementary region Gij is formed at all observation angles (φn, θn) of the 3D image. Here, n = 1… N. The angular pattern of the region Gij is a set of N rays, and each ray Ln has a given intensity. Figure 8 shows the angular patterns computed for twelve elementary Gij regions.

Figure 8.

Angular patterns of twelve different areas Gij.

Thus, in the approximation of geometrical optics, radiation angular patterns are determined for all elementary regions Gij. In the next step, we use the determined angular patterns to compute the phase function of the optical element for each elementary region Gij.

Advertisement

3. Method for computing the phase functions in elementary regions

We use the scalar Fresnel wave model to compute the phase functions in the all elementary Gij regions. In this Fresnel model, the scalar wave field uxyf in the z = f plane is related to the scalar wave field uξη0 by the following formula:

γGijuξη0expikxξ2+yη22fdξdη=uxyf.E1

Here k = 2π and γ = exp.(ikf)/iλf is a given constant where λ is a wavelength. Figure 9 shows a scheme of the formation of the 2D image formed by the angular pattern of the elementary region Gij. The plane wave falls onto the reflecting flat phase optical element whose microrelief forms an image in the z = f plane.

Figure 9.

Optical scheme of the formation of the image in elementary region Gij.

The peculiarity of the inverse problem of forming a 2D image is that the right-hand side of Eq. (1) does not contain the wave function uxyf but only its absolute value Fxy=uxyf.

Let us represent the wave function on the plane z = 0 in the form uξη0=u¯ξηexpikφξη. Here u¯ξη is the amplitude and φ(ξ,η) is the phase function of the planar optical element in the elementary region Gij, We, thus, have the following operator equation:

Aφξη=Fxy.E2

In the Fredholm operator equation of the first kind (2)F(x,y) is a given function. The operator A is defined by the following relation:

=γGijūξηexpikφξηexpikxξ2+yη22fdξdη.E3

Eq. (3) is a nonlinear operator equation with respect to the desired function φ(ξ,η) and describes an ill-posed problem. Efficient numerical algorithms were developed to solve ill-posed nonlinear problems [12, 13]. However, one of the most efficient methods for the approximate solution of Eq. (2) is the method proposed by Lesem and his colleagues in 1969 [14]. This method later came to be called the Gerchberg-Saxton algorithm [15]. Many studies were dedicated to investigating this algorithm [16, 17, 18]. All these methods have the same property. The value of the functional decreases monotonically quite rapidly during the first 10 iterations, and then the decrease rate falls off rapidly.

We follow Lesem [14] to use an algorithm for the approximate solution of nonlinear Eq. (2). Let us introduce the following notation:

Φνxy=γGijνξη·expikxξ2+yη22fdξdη.E4

Here Φνxy is the Fresnel transform of function v. We construct the iterative process of building the phase function that is an approximate solution of inverse problem (3) as follows. Four steps have to be taken to perform one iteration in the iterative algorithm for solving problem (3). Let v(m)(x,y) be given at the m-th iteration. We write function v(m)(x,y) in the form v(m)(x,y) = A0exp(ikφ0(m)(x,y)) and function w(m)(x,y) in the form w(m)(x,y) = A1exp(ikφ1(m)(x,y)). Both A0 and A1 are real functions. Let A0(x,y) be the given intensity distribution of incident light in the z = 0 plane. As we are considering phase only DOE, then the amplitude A0(x,y) will be equal to one in the elementary region Gij. Let A1(x,y) = F(x,y) be the given intensity distribution in the focal plane z = f. The algorithm for solving the inverse problem consists of the following four steps performed in sequence:

1φ1mxy=argΦvmxy2)wmxy=A1xyexpikφ1mxy3)φ0m+1xy=argΦ1wmxy4)vm+1xy=A0xyexpikφ0m+1xyE5

The function φ0m+1 is an approximate solution of Eq. (2). A phase distribution equal to a constant can be used as an initial approximation. The phase function φ(ξ, η) computed by the iterative process (5) uniquely determines the microrelief in the region Gij. For example, for a normal wave incident on an optical element, the depth of the microrelief in the region Gij is equal to 0.5 φ(ξ, η) for any point (ξ, η) in this region.

Figure 10 shows two calculated fragments of the microrelief of the multilevel kinoform in the two elementary Gij regions. The fragments size is 10 × 10 μm2. The depth of the microrelief does not exceed 0.5λ and is equal to approximately 0.3 μm.

Figure 10.

Calculated fragments of the microrelief in the two elementary Gij regions.

Thus, the solution of the inverse problem for each elementary region, Gij, i = 1… L, j = 1… M, yields the microrelief on the entire area of the nano-optical element. The above algorithm for computing the phase function can be applied to the 3D model of any 3D object.

Advertisement

4. Example of the synthesis of multilevel nano-optical element for forming 3D images at zero diffraction order

To demonstrate the efficiency of the proposed method, we made a 28 × 33 mm2 nano-optical element to form a zero-order 3D image. A 28 × 33 mm2 flat optical element was partitioned into 369,600 50 × 50 μm2 elementary Gij regions, i = 1… L, j = 1… M, as shown in Figure 6. The number of frames N was 1440 (60 frames horizontally, 24 frames vertically). We compute the microrelief of the flat optical element at the fixed green wavelength λ = 547 nm for each elementary region Gij. To compute the phase function in the area Gij, it was used a 500 × 500 grid to solve the inverse problem (2) of computing the phase functions in the elementary regions, and it takes more than 4 hours to compute the phase function for the entire optical element on a PC (AMD Phenom II X6 3.2 GHz CPU and 16 Gb DDR3 memory).

We used a shaped beam e-beam lithography system with a minimum beam size of 0.1 μm x 0.1 μm to record the microrelief of the nano-optical element and used a positive PMMA electron beam resist to form the nano-structures. The maximum microrelief depth was 0.3 μm, and the depth accuracy of microrelief formation was 10 nanometers in terms of depth. The nickel master shim of the diffractive optical element was produced using a standard electroforming procedure.

Figure 11 shows photographs of the nano-optical element taken from different viewing angles at diffraction angles of plus or minus 30° relative to the zero order of diffraction. A cell phone flash with green color filter was used as the light source.

Figure 11.

3D images formed by the nano-optical element at different angles under green light source (see video V1 and video V2) (video available at: https://bit.ly/3QtzxbI).

We computed the microrelief at the fixed wavelength of λ = 547 nm, which corresponds to green light, and the quality of the images formed are good when the nano-optical element is under green light source illumination. However, of course, the main interest is how the element will be seen when illuminated with a white light source. Figure 12 shows photographs of the same nano-optical element taken from different viewing angles by using a white light source, cell phone flash without any filter.

Figure 12.

3D images formed by the nano-optical element at different angles under white light source (see video W1 and video W2) (video available at: https://bit.ly/3QtzxbI).

As can be seen from the Figure 12, the formed 3D image remains clear and contrasting despite the illumination with a white light source. The resulting 3D image can be observed well when illuminated by white light, and the observer sees the 3D image with full parallax both when tilting the optical element and when rotating it by 360 degrees. In addition, unlike rainbow holograms, the color of the formed 3D image does not depend on the viewing angle. That is, it turns out that the formed 3D image behaves like a real 3D object in a full range of viewing angles.

Advertisement

5. Discussion and conclusion

In this chapter, we develop methods for synthesizing nano-optical elements to form 3D images at the zero-order diffraction for the first time. The synthesis methods include both the computation of the phase function of the nano-optical element and the formation of its microrelief by using of e-beam lithography. From a mathematical point of view, the computation of the phase function is a typical inverse problem, which we solve in two steps. In the first step, we use all the image frames that define a 3D object to generate the angular patterns in each elementary region. In the second stage, we compute the phase functions of the nano-optical element in each elementary region. The latter problem reduces to solving a nonlinear integral equation. Despite the large number of elementary regions (∼370,000), a personal computer is definitely sufficient to compute the phase function of the entire nano-optical element.

We used e-beam lithography for the formation of the microrelief. The accuracy of microrelief formation is 10 nanometers in terms of depth. We produced a sample nano-optical element that forms a 3D image in the zero order of diffraction. The resulting 3D image can be observed when illuminated by white light. A 3D image can also be formed in the first order of diffraction, as we did, for example, in our earlier study [11], using a binary microrelief. In this case, the diffraction efficiency of the optical element does not exceed 40%. The use of multilevel microrelief makes it possible not only to increase the diffraction efficiency but also to significantly widen the viewing angles of the 3D image. The observer sees a 3D image with full parallax both when tilting the optical element and even when rotating it by 360 degrees. The 3D image is stable and behaves like a real 3D object. The authors also believe that it is possible to use 2D frames captured from 3D computer models with some animation, and thus the formation of 3D zero order images with the effect of animation is possible; however, this is the subject of future numerical and real experiments on the formation of 3D animated images in the zero order of diffraction.

The structure of an optical element forming a 3D image in the zero order of diffraction can be modified to make the kinoforms fill the Gij regions partially rather than completely [19, 20]. The remaining parts of the elementary Gij regions can be filled with diffraction gratings with periods less than 0.6 μm. These diffraction gratings can form an additional 2D image visible over the entire area of the DOE at diffraction angles greater than 60 degrees.

The nano-optical element can be replicated using standard embossing equipment for the production of surface relief holograms. The synthesis methods developed are designed first of all to protect bank notes, IDs and brands against counterfeiting. The technology of the synthesis of nano-optical elements is expensive, knowledge intensive and not widespread, thereby ensuring high protection level of the developed DOEs against counterfeiting.

Methods for calculating the phase functions of nano-optical elements can be used in advanced 3D displays and 3D projectors. At present, supercomputer technologies are widely used to speed up calculations. The phase function in each elementary region is calculated independently, which makes it easy to parallelize the numerical algorithm. The use of a graphics processing unit (GPU) cluster can speed up the calculation of the phase function of a nano-optical element by hundreds or even thousands of times. At present, processors with hundreds thousand cores have been developed and are available [21]. The use of such technologies can make it possible to compute the phase function of the entire optical element in a fraction of a second, thereby opening up opportunities for the synthesis of animated 3D images in prospective 3D design systems and 3D displays [22, 23].

References

  1. 1. Gabor D. A new microscopic principle. Nature. 1948;161:777-778
  2. 2. Benton SA. Hologram reconstructions with extended incoherent sources. Journal of the Optical Society of America. 1969;59:1545-1546
  3. 3. Yatagai T. Stereoscopic approach to 3-D display using computer-generated holograms. Applied Optics. 1976;15:2722-2729
  4. 4. Van Renesse RL. Optical Document Security. Artech House, Boston, USA: Artech House Optoelectronics Library; 2005
  5. 5. Van Renesse RL. Security aspects of commercially available dot matrix and image matrix origination systems. In: Proceeding to SPIE International Conference on Optical Holography and Its Applications. 2004
  6. 6. Blanche PA. Optical Holography: Materials, Theory and Application. Elsevier; 2020
  7. 7. Manfrinato VR, Zhang L, Su D, Duan H, Hobbs RG, Stach EA, et al. Resolution limits of electron-beam lithography toward the atomic scale. Nano Letters. 2013;13:1555-1558
  8. 8. Rai-Choudhury P. Handbook of Microlithography, Micromachining, and Microfabrication: Microlithography. Bellingham, Washington, USA: SPIE Optical Engineering Press; 1997
  9. 9. Goncharsky AV, Goncharsky AA, Durlevich S. Diffractive optical element for creating visual 3D images. Optical Express. 2016;24:9140-9148
  10. 10. Goncharsky AA, Durlevich S. Cylindrical computer-generated hologram for displaying 3D images. Optical Express. 2018;26:22160-22167
  11. 11. Goncharsky A, Goncharsky A, Durlevich S. High-resolution full-parallax computer-generated holographic stereogram created by e-beam technology. Optical Engineering. 2017;56:063105
  12. 12. Tikhonov AN, Goncharsky AV, Stepanov VV, Yagola AG. Numerical Methods for the Solution of Ill-Posed Problems. Dordrecht, Netherlands: Kluwer; 1995
  13. 13. Groetsch CW, Neubauer A. Regularization of ill-posed problems: Optimal parameter choice in finite dimensions. Journal of Approximation Theory. 1989;58:184
  14. 14. Lesem LB, Hirsch PM, Jordan JA. The Kinoform: A new wavefront reconstruction device. IBM Journal of Research and Development. 1969;13:150-155
  15. 15. Gerchberg RW, Saxton WO. A practical algorithm for the determination of the phase from image and diffraction plane pictures. Optik. 1972;35:237-246
  16. 16. Fienup JR. Phase retrieval algorithms: A comparison. Applied Optics. 1982;21:2758
  17. 17. Škeren M, Richter I, Fiala P. Iterative Fourier transform algorithm: Comparison of various approaches. Journal of Modern Optics. 2002;49:1851-1870
  18. 18. Wyrowski F. Diffractive optical elements: Iterative calculation of quantized, blazed phase structures. Journal of the Optical Society of America. A. 1990;7:961
  19. 19. Goncharsky AA. Patent EP3842252B1 “Microoptical System for the Formation of the 3D Image in the Zero Diffraction Order” (granted on 25.05.2022)
  20. 20. Goncharsky AA, Goncharsky AV, Durlevich SR, et al. Synthesis of nano-optical elements for zero-order diffraction 3D imaging. Scientific Reports. 2022;12:8639
  21. 21. Moore S. AI System Beats Supercomputer in Combustion Simulation. IEEE.org. IEEE Spectrum Magazine; 2020. Availbale form: https://spectrum.ieee.org/ai-system-beats-supercomputer-at-key-scientific-simulation
  22. 22. Park J-H. Recent progress in computer-generated holography for three-dimensional scenes. Journal of Information Display. 2017;18:1-12
  23. 23. Wakunami K, Hsieh P-Y, Oi R, Senoh T, Sasaki H, Ichihashi Y, et al. Projection-type see-through holographic three-dimensional display. Nature Communications. 2016;7:12954

Written By

Anton Goncharsky and Svyatoslav Durlevich

Submitted: 06 June 2022 Reviewed: 28 June 2022 Published: 18 August 2022