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Integral imaging microscopy with enhanced depth-of-field using a spatial multiplexing

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Abstract

A depth-of-field enhancement method for integral imaging microscopy system using a spatial multiplexing structure consisting of a beamsplitter with dual video channels and micro lens arrays is proposed. A computational integral imaging reconstruction algorithm generates two sets of depth-sliced images for the acquired depth information of the captured elemental image arrays and the well-focused depth-slices of both image sets are combined where each is focused on a different depth plane of the specimen. A prototype is implemented, and the experimental results demonstrate that the depth-of-field of the reconstructed images in the proposed integral imaging microscopy is significantly increased compared with conventional integral imaging microscopy systems.

© 2016 Optical Society of America

1. Introduction

Integral imaging microscopy (IIM) is a practical three-dimensional (3D) microscopy system that acquires parallax and depth information from a specimen using a micro lens array (MLA) with a single capture [1–5]. Thus, full-parallax, full-color, and continuous-viewing features are achieved in the integral imaging technique [6–9]. The reconstruction provides multi-view representations of the specimen, depending on the viewing direction of the elemental lenses. An elemental image array (EIA) captured using an MLA includes both the parallax and depth-of-field (DoF) information of the specimen. Y.-T. Lim et al. reported an MLA shifting method in IIM in which the DoF of the IIM system can be significantly extended compared with conventional two-dimensional (2D) microscopies [10]. However, the DoF of the representation of the specimen from an IIM system might not be sufficiently deep, particularly for an objective lens with a high magnification, because each MLA has its own DoF range through which the 3D image can be reconstructed clearly and this range depends on the focal length and most MLAs have short focal lengths. Note that, there is a trade-off between the magnification and DoF that the magnification of an objective lens is proportional to the numerical aperture of an objective lens, but inversely proportional to the DoF.

Several methods have been proposed to improve the DoF of integral imaging displays using a non-uniform lens array (with non-uniform aperture sizes and focal lengths) or a varifocal liquid lens array [11–14]. Furthermore, integral imaging displays that consist of double or multilayered display devices have been reported recently [15–18]. However, these methods are complicated in practical applications and are inappropriate and impossible to implement in IIM systems.

In this paper, an IIM system is proposed and implemented using the spatial multiplexing method. The proposed spatial multiplexing method separates the optical path reflected from the specimen through the objective lens into two channels using a beamsplitter, and it provides the opportunity to acquire two EIAs simultaneously via the two MLAs and two cameras. Here, the MLAs focus on different DoF planes in the specimen. The experimental results demonstrate that the total DoF of the proposed IIM is extended by a factor of more than twofold compared with the conventional IIM. The analysis and experimental results for this issue are described and presented in the next sections.

2. Depth-of-field in integral imaging microscopy

Figure 1 presents the basic structure of the conventional IIM, which consists of the objective and tube lenses, an MLA, and an image sensor. When the visualization of the specimen is imaged onto the intermediate plane, the EIAs are captured through the MLA. The captured EIA includes not only the parallax information but also the depth information. In the reconstruction, the orthographic view images and the depth slices for the specimen are reconstructed. Here, the DoF of the IIM is comprised of various image slices with different depths within a certain depth range of the IIM. The depth slices are reconstructed using a computational integral imaging reconstruction (CIIR) algorithm [19, 20].

 figure: Fig. 1

Fig. 1 Basic structure of the IIM.

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The potential DoF of the conventional optical microscopy considers both the geometrical and wave optical theories, which are given as follows:

Dcon=λnNA2+nMNAPS,
where λ is the wavelength of the light illumination, NA is the numerical aperture of objective lens, M is the magnification of the objective lens, PS is the pixel pitch of the image sensor, and n is the refractive index of the medium. Note that in typical calculations, n is considered to be 1 (in air), which means that the n parameter does not need to be considered.

With the IIM, the total DoF depends on the DoF range of the MLA and the magnification of the objective lens. The allowable DoF range of an MLA, which is the range in which an MLA can reconstruct clear images, is given as follows:

DLA=λNALA2+zgNALAPS,
where NALA is the numerical aperture of the single element lens of the MLA (which is determined using NALA = PEL/2fLA, where PEL is the elemental lens pitch and fLA is the focal length of the MLA), z is the separation between the intermediate plane and the MLA, and g is the gap between the MLA and image sensor. According to the DLA and M, the DoF of the entire IIM is expressed as follows:
DIIM=1M2DLA.
It can be seen that, for a given objective lens magnification, NALA is the most significant factor in determining the DoF of IIM [2, 9]. Thus, DIIM has a significantly narrower DoF than DLA, but it has a wider DoF compared with Dcon.

The DoF of the IIM was analyzed using a numerical simulation according to Eqs. (1)-(3). Here, all specifications of the optical devices, e.g. focal lengths of the objective lens and MLA, NALA, and pixel pitch of image sensor, are constant; the magnification of the objective lens is set in two conditions ( × 5 and × 10); and z is increased from 3 mm to 10 mm. Furthermore, g varies along the z transformation from 12 mm to approximately 3.1 mm according to the Gaussian lens law. Figure 2 illustrates the correlation between the allowable DoF of the MLA and the z parameter. Here, the DoF of the MLA is directly proportional to the separation between the MLA and intermediate plane, z, according to the integral imaging theory.

 figure: Fig. 2

Fig. 2 Correlation between the DoF of MLA and z.

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As discussed earlier, the DoF of IIM depends on the DLA and M, as depicted in Fig. 3. Here, it can be seen that the DoF of the conventional optical microscopy and IIM are inversely proportional to the magnification of the objective lens, M. For example, when the magnification is set to × 5 and NA = 0.14 mm, Dcon is continual approximately 35.26 µm and DIIM is measured to be approximately 33.15 µm to 60 µm, where z changes from 3 mm to 10 mm, as depicted in Fig. 3(a). In Fig. 3(b), Dcon is degraded to approximately 8.81 µm and DIIM is approximately 8.3 µm for z = 3 mm and 15 µm for z = 10 mm, where M = 10 and NA = 0.28 mm.

 figure: Fig. 3

Fig. 3 The dependence of DIIM on z, where (a) M = 5 and NA = 0.14 mm, and (b) M = 10 and NA = 0.28 mm.

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Furthermore, if a user wants to obtain 3D images for a specimen with a more enhanced DoF than the conventional 2D microscopy, z parameter must be more than 1.5 times the value of fLA. If z < 1.5 fLA, then DIIM has a lower value than Dcon; if z = 1.5 fLA, DIIM is similar to Dcon. In the numerical simulation, when z becomes 3.6 mm, DIIM is the same as Dcon, which is approximately 8.3 µm and 35.26 µm according to the magnification of the objective lens, and further results are more than Dcon when the z parameter is z > 1.5 fLA, where fLA is 2.4 mm. However, this DoF range of the 3D reconstruction in the IIM does not have sufficient depth: if the specimen size is greater than the DoF of the IIM system, it is difficult to determine the specimen size.

3. Proposed method

In order to solve the narrow DoF problem in the IIM, a spatial multiplexing system with two MLAs and two cameras is proposed. In addition, through placing a beamsplitter on the intermediate plane, the optical axis can be separated into two directions, where each of the optical axes obtains the EIAs of different focal positions with both MLAs appropriately fixed. Note that the separation between the lens array and the intermediate plane depends on the focal length of the MLA.

Figure 4 presents a schematic of the configuration of the proposed DoF-enhanced IIM system. The light rays illuminating the specimen pass through the objective and tube lenses, and the dual cameras simultaneously detect the 3D parallax and depth information of the specimen via the corresponding MLA. The MLAs focus on different depth planes of the specimen near the intermediate plane, and different depth data is captured by both EIAs. The CIIR method was used in the display system in order to reconstruct the depth-sliced images using the acquired depth data. The focused depth-sliced images for both EIAs are selected, and the entire specimen can be observed.

 figure: Fig. 4

Fig. 4 Schematic of the proposed IIM system with dual MLAs and dual cameras.

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With the proposed IIM system, the three types of conditions can appear:

  • 1. Both DoF ranges through the two MLAs overlap each other;
  • 2. Both DoF ranges are separated, but the back-and-forth marginal depth planes of the two ranges are coincident; and,
  • 3. Both DoF ranges are separated.

In the proposed IIM system, the primary analyses are discussed for the first and second conditions; however, the third condition is not considered because it is inconsistent with the conventional and proposed IIM features, which have a depth-sliced reconstruction.

The calculation of the DoF enhancement is accomplished when the two MLAs have the same elemental lens pitch but have different focal lengths, or two MLAs have identical specifications and the z parameters are transformed. The DoFs acquired from each of the EIAs using the dual MLAs can be expressed using Eq. (3), as follows:

{DIIM1=1M2(λNALA12+z1g1NALA1PS),whereNALA1=PEL2fLA1DIIM2=1M2(λNALA22+z2g2NALA2PS),whereNALA2=PEL2fLA2,
where g1 and g2 are the separations between each MLA and corresponding camera, fLA1 and fLA2 are the focal lengths of the MLAs, NALA1 and NALA2 are the numerical apertures of the elemental lenses in the corresponding MLAs, and z1 and z2 are the separations between the intermediate plane (the center of the beamsplitter) and the corresponding MLA. Here, it can be seen that DIIM1 and DIIM2 are the DoFs of two different IIMs.

Figure 5(a) illustrates the difference in the sampling effects among the elemental lenses with different focal lengths. As depicted in Fig. 5(b), the CIIR algorithm is executed twice for each EIA; i.e. the depth-sliced images reconstructed from the first EIA captured using MLA1 and camera1 represent the front-to-middle parts of the resulting image, and the depth-sliced images reconstructed from the second EIA represent the middle-to-back parts of the resulting image. The entire DoF of the specimen, i.e. Dtot, can be observed using the two MLAs, where a single MLA cannot reconstruct at the entire DoF of the specimen.

 figure: Fig. 5

Fig. 5 Schematic of the DoF enhancement in the proposed IIM using two MLAs: (a) pickup and (b) reconstruction.

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As discussed earlier, two conditions of DoF ranges were considered; however, both ranges are fully separated. In general, i.e. for the first condition, the total DoF for the reconstructed depth-sliced images from both EIAs, i.e. Dtot_gen, is determined using each DoF range formed by two MLAs (DIIM1 and DIIM2), the difference between the z1 and z2 parameters, and the overlapped portion of both DoF ranges (Dov), as depicted in Fig. 6(a).

 figure: Fig. 6

Fig. 6 Schematic for the (a) first and (b) second conditions.

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Here, Dtot_gen can be calculated as follows:

Dtot_gen=DIIM1+DIIM2Dov,whereDov>0,
where Dov is the overlapped portions of the two DoF ranges, which can be detected as follows:
Dov=(z2z1)(z2z1z12)(z2z1z22)=3z1z22.
Thus, Eq. (5) can be rewritten as follows:

Dtot_gen=DIIM1+DIIM2Dov==λg1g2(NALA12+NALA22)+NALA1NALA2PS(g1z2NALA1+g2z1NALA2)g1g2NALA12NALA22M23z1z22,whereDov>0.

For the second condition, when the back-and-forth marginal planes of DIIM1 and DIIM2 are coincident, as depicted in Fig. 6(b), Dtot has its maximum value, which is the sum of both DoF ranges, as follows:

Dtot_max=DIIM1+DIIM2==λg1g2(NALA12+NALA22)+NALA1NALA2PS(g1z2NALA1+g2z1NALA2)g1g2NALA12NALA22M2,whereDov=0.

Furthermore, the separations between each MLA and its corresponding camera can be made equal (i.e. g1 = g2), even where the MLAs have different focal lengths. Conversely, if the MLAs have identical focal lengths, then g1 > g2 is required in order to acquire images at different depths. Because z1 and z2 are determined by the Gaussian lens law considering the g and fLA parameters, extensions for the depth-of-field are not detected when the z, g, and fLA are identical.

Using this analysis, another numerical simulation was conducted in order to verify the DoF enhancement using the proposed IIM system. Here, the numerical simulation is conducted for two different cases: in the first case, the DoF is analyzed for different fLA and z parameters with identical g parameters and, in the second case, it is analyzed for different g and z parameters with identical fLA parameters. The other specifications of the components are fixed as follows: λ = 532 nm, M = 10 × , NA = 0.28 mm, PS = 6 µm, and PEL = 125 µm. In the first case, the focal lengths of the MLAs are set as fLA1 = 2.4 mm and fLA2 = 2.7 mm, g1 and g2 are identical, and z1 and z2 are from 3 mm to 10 mm in increments of 0.5 mm. In the second case, fLA1 and fLA2 are 2.4 mm, but g2 is 1.25 times less than g1. The simulation results for these two cases are depicted in Figs. 7(a) and 7(b), respectively. Note that Dtot is given as the maximum value (Dtot_max) for simplified calculations.

 figure: Fig. 7

Fig. 7 Numerical simulation results: (a) the first case where fLA1fLA2 and g1 = g2, and (b) the second case where fLA1 = fLA2 and g1 > g2.

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As seen in Fig. 7(a), the DoF is directly proportional to the focal length distance of the MLA, and the proposed method has a significantly improved DoF range compared with the conventional IIM and 2D optical microscopic systems. For example, when z1 and z2 are 7 mm, g1 and g2 are approximately 3.65 mm, DIIM1 and DIIM2 are approximately 12.26 µm and 14.9 µm, respectively, and Dtot is approximately 27.16 µm where Dcon is 8.93 µm.

In the second case in the numerical simulation, as seen in Fig. 7(b), it was verified that different g parameters create different DoF ranges in the 3D reconstruction and the DoF difference will be greater according to the increments of the z parameter. Here, the focal lengths of the MLAs, i.e. fLA1 and fLA2, are fixed at 2.4 mm and g2 is 1.25 times less than g1, where z1 and z2 are from 3 mm to 10 mm with 0.5 mm increments. In this case, the DoF in the proposed IIM system is also significantly improved compared with the conventional optical microscopy and IIM using a single MLA. For example, when z1 = z2 = 7 mm, g1 and g2 are approximately 3.65 mm and 2.92 mm, respectively, DIIM1 and DIIM2 are approximately 12.26 µm and 13.37 µm, respectively, and Dtot is approximately 25.63 µm, where Dcon is 8.93 µm.

From these numerical simulations, two MLAs with different focal lengths and two identical MLAs with different separations from the image sensor successfully enhance the DoF range of the IIM more than twofold that of the conventional case. This indicates that the proposed method is very efficient when it is applied in IIM. Note that a slight difference can occur between the two cases according to the focal lengths of the MLAs or the difference between the g1 and g2 parameters.

4. Experimental results

In order to verify the DoF enhancement method, a prototype of the proposed IIM system is constructed and implemented using two MLAs and two cameras; the prototype is depicted in Fig. 8. In the experiment, the objective and tube lenses have a magnification of 10 × ; telecentric reflective illumination, a 50/50 beamsplitter, and dual cameras with 1 CMOS sensors and 2048 × 2048 RGB pixels are also utilized. The MLAs are identical, with a focal length of 2.4 mm and 100 × 100 micro lenses with elemental lens pitches of 125 µm.

 figure: Fig. 8

Fig. 8 A photograph of the prototype DoF-enhanced IIM system.

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There are three types of micro objects are used as specimens in the experiment: a surface-mounted resistor, a stamen and pistil from a chrysanthemum flower, and the eyes of a fruit fly. Figure 9 presents the visualizations of the experimental objects and the corresponding EIAs captured through the two MLAs and cameras, and the generated orthographic-view images. For each object, the separation between the parts captured using the MLAs is approximately 200 µm. The six EIAs for the three objects consisted of 2020 × 2020 pixels on average, where each elemental image included 23 × 23 pixels. Here, the regions-of-interest, which are the central portions of each EIA, are selected for all EIAs, because a lens distortion issue occurrs in the real capturing process. In particular, the distortion became more intense toward the outer boundary portions of the captured EIA. Finally, the generated orthographic-view images consisted of 23 × 23 directional-view images.

 figure: Fig. 9

Fig. 9 (a) The 2D images for top (left) and bottom (right) sides of a surface-mounted resistor, the corresponding EIAs, and reconstructed orthographic-view images; (b) images of the stamen (left) and pistil (right) of a chrysanthemum flower and their corresponding EIAs, and the reconstructed orthographic-view images; and (c) images of the left eye (left) and right eye (right) of a fruit fly, their corresponding EIAs, and orthographic-view images.

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Object 1 is a surface-mounted resistor, and the MLAs focus on the top (via MLA1, left) and bottom (via MLA2, right) planes, as depicted in Fig. 9(a). For object 2, the MLAs focus on different parts inside the chrysanthemum flower, i.e. the stamen (via MLA1, left) and pistil (via MLA2, right), as seen in Fig. 9(b). As depicted in Fig. 9(c), the MLAs focus on the left (via MLA1, left) and right (via MLA2, right) eyes of a fruit fly for object 3.

Due to the identical MLAs used in the experiment, the dual MLAs are located at different distances from the intermediate plane and the center of the beamsplitter, such that z1 ≈ 7.2 mm and z2 ≈ 9.2 mm, through setting g1 ≈ 3.6 mm and g2 ≈ 3.25 mm, respectively. The reconstructed depth slice images for each object and EIA through the CIIR algorithm are presented in Fig. 10: Fig. 10(a) presents the depth slices reconstructed from the EIAs for a surface-mounted resistor; Fig. 10(b) is the depth slices for the stamen and pistil of the chrysanthemum flower; and Fig. 10(c) is the depth slices for the eyes of a fruit fly. Here, some of the reconstructed depth slices are focused and some are unfocused. From Fig. 10, it is not possible to observe the overall appearances of the three specimens using the IIM system with a single MLA that leads to the DoF of a single MLA-based IIM being smaller than the entire depth of the specimen. In the experiment using the proposed method, the well-focused images are selected from the reconstructed depth slices. The well-focused images are indicated using a dashed red line in Fig. 10.

 figure: Fig. 10

Fig. 10 The reconstructed depth slices for each EIA captured from the different depth planes of the specimens: the depth slices for corresponding EIA1 (left) and EIA2 (right) of (a) a surface-mounted resistor (Visualization 1), (b) a chrysanthemum flower (Visualization 2), and (c) a fruit fly (Visualization 3).

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The well-focused depth slice image selection process depends on the corresponding power spectral density (PSD) value for each depth slice, where the threshold is 5.3 dB. In the other hands, the depth slice images which with PSD values more than 5.3 dB are picked as the well-focused images. Note that, 5.3 dB is most efficient value for the PSD measurements of reconstructed depth-slices in the experimental condition of proposed IIM system.

Figure 11 illustrates the measured PSD values of the depth-sliced reconstructions for the corresponding EIAs. The PSD values for the depth slices selected as the well-focused images for the surface-mounted resistor were approximately 5.73 dB at ∆z2RT ≈30 µm and 5.94 dB at ∆z3RT ≈60 µm from EIA1, and 6.04 dB at ∆z2RB ≈130 µm and 5.63 dB at ∆z2RB ≈160 µm from EIA2 [Fig. 11(a)]; for the stamen and pistil of the chrysanthemum flower, the PSD values were approximately 5.6 dB at ∆z2CS ≈30 µm and 5.93 dB at ∆z3CS ≈60 µm from EIA1, and 5.65 dB at ∆z2CP ≈130 µm mm and 5.85 dB at ∆z3CP ≈160 µm from EIA2 [Fig. 11(b)]; and for the eyes of the fruit fly, the PSD values were approximately 6.07 dB at ∆z2FL ≈30 µm and 6.06 dB at ∆z3FL ≈60 µm from EIA1, and 6.0 dB at ∆z2FR ≈130 µm and 6.01 dB at ∆z3FR ≈160 µm from EIA2 [Fig. 11(c)].

 figure: Fig. 11

Fig. 11 The PSD values for each of the depth-sliced reconstructions from EIA1 and EIA2: (a) the surface-mounted resistor, (b) the chrysanthemum flower, and (c) the fruit fly.

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The selected well-focused depth slices were combined according to the PSD values and are depicted in Fig. 12. The experimental results demonstrate that the proposed IIM using the spatial multiplexing method successfully enhanced the DoF of the IIM system, and focused images of each depth-sliced reconstruction are obtained for the different depth planes in the specimen. From Figs. 12(a)-12(c), the overall appearances of the three objects are successfully represented when an objective lens was configured with 10 × magnification.

 figure: Fig. 12

Fig. 12 The overall visualizations of the three objects with combined the well-focused depth slices: (a) a surface-mounted resistor (Visualization 4), (b) a chrysanthemum flower (Visualization 5), and (c) a fruit fly (Visualization 6).

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5. Conclusion

It can be concluded that the proposed IIM spatial multiplexing method using dual MLAs enables an increase in the DoF of a typical single channel IIM system. The two lens arrays focus on different depth planes of the specimen, and two corresponding cameras capture the different EIAs simultaneously; this is the general implementation of proposed IIM system. The dual lens arrays can have either different or identical focal lengths. The proposed system can extend the depth-of-field maximum of DoF1 + DoF2. The different focal lengths of MLAs do not affect the magnification of the specimen. Further work will be conducted in order to identify more effective DoF-enhancement methods and real-time implementations of the IIM.

Acknowledgments

This work was supported by “The Cross-Ministry Giga KOREA Project” grant from the Ministry of Science, ICT and Future Planning, Korea, and was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-R0992-15-1008) supervised by the IITP (Institute for Information & Communications Technology Promotion).

References and links

1. J.-S. Jang and B. Javidi, “Three-dimensional integral imaging of micro-objects,” Opt. Lett. 29(11), 1230–1232 (2004). [CrossRef]   [PubMed]  

2. M. Levoy, R. Ng, A. Adams, M. Footer, and M. Horowitz, “Light field microscopy,” Proc. SIGGRAPH‘06, 924–934 (2006).

3. Y.-T. Lim, J.-H. Park, K.-C. Kwon, and N. Kim, “Resolution-enhanced integral imaging microscopy that uses lens array shifting,” Opt. Express 17(21), 19253–19263 (2009). [CrossRef]   [PubMed]  

4. K.-C. Kwon, J.-S. Jeong, M.-U. Erdenebat, Y.-T. Lim, K.-H. Yoo, and N. Kim, “Real-time interactive display for integral imaging microscopy,” Appl. Opt. 53(20), 4450–4459 (2014). [CrossRef]   [PubMed]  

5. K.-C. Kwon, J.-S. Jeong, M.-U. Erdenebat, Y.-L. Piao, K.-H. Yoo, and N. Kim, “Resolution-enhancement for an orthographic-view image display in an integral imaging microscope system,” Biomed. Opt. Express 6(3), 736–746 (2015). [CrossRef]   [PubMed]  

6. G. Lippmann, “La photographie integrale,” C. R. Acad. Sci. 146, 446–451 (1908).

7. N. Kim, M. A. Alam, L. T. Bang, A.-H. Phan, M.-L. Piao, and M.-U. Erdenebat, “Advances in the light field displays based on integral imaging and holographic techniques,” Chin. Opt. Lett. 12, 060005 (2014). [CrossRef]  

8. M.-U. Erdenebat, K.-C. Kwon, E. Dashdavaa, Y.-L. Piao, K.-H. Yoo, G. Baasantseren, Y. Kim, and N. Kim, “Advanced 360-degree integral-floating display using a hidden point removal operator and a hexagonal lens array,” J. Opt. Soc. Korea 18(6), 706–713 (2014). [CrossRef]  

9. Y. Yang and S.-W. Min, “Projection-type integral imaging using a pico-projector,” J. Opt. Soc. Korea 18(6), 714–719 (2014). [CrossRef]  

10. Y.-T. Lim, J.-H. Park, K.-C. Kwon, and N. Kim, “Analysis on enhanced depth of field for integral imaging microscope,” Opt. Express 20(21), 23480–23488 (2012). [CrossRef]   [PubMed]  

11. J.-S. Jang, F. Jin, and B. Javidi, “Three-dimensional integral imaging with large depth of focus by use of real and virtual image fields,” Opt. Lett. 28(16), 1421–1423 (2003). [CrossRef]   [PubMed]  

12. J.-S. Jang and B. Javidi, “Large depth-of-focus time-multiplexed three-dimensional integral imaging by use of lenslets with nonuniform focal lengths and aperture sizes,” Opt. Lett. 28(20), 1924–1926 (2003). [CrossRef]   [PubMed]  

13. S.-C. Kim, C.-K. Kim, and E.-S. Kim, “Depth-of-focus and resolution-enhanced three-dimensional integral imaging with non-uniform lenslets and intermediate-view reconstruction technique,” 3D Res. 2(2), 6 (2011). [CrossRef]  

14. C.-J. Kim, M. Chang, M. Lee, J. Kim, and Y. H. Won, “Depth plane adaptive integral imaging using a varifocal liquid lens array,” Appl. Opt. 54(10), 2565–2571 (2015). [CrossRef]   [PubMed]  

15. B. Lee, S.-W. Min, and B. Javidi, “Theoretical analysis for three-dimensional integral imaging systems with double devices,” Appl. Opt. 41(23), 4856–4865 (2002). [CrossRef]   [PubMed]  

16. S.-W. Min, B. Javidi, and B. Lee, “Enhanced three-dimensional integral imaging system by use of double display devices,” Appl. Opt. 42(20), 4186–4195 (2003). [CrossRef]   [PubMed]  

17. Y. Kim, J.-H. Park, H. Choi, J. Kim, S.-W. Cho, and B. Lee, “Depth-enhanced three-dimensional integral imaging by use of multilayered display devices,” Appl. Opt. 45(18), 4334–4343 (2006). [CrossRef]   [PubMed]  

18. D.-Q. Pham, N. Kim, K.-C. Kwon, J.-H. Jung, K. Hong, B. Lee, and J.-H. Park, “Depth enhancement of integral imaging by using polymer-dispersed liquid-crystal films and a dual-depth configuration,” Opt. Lett. 35(18), 3135–3137 (2010). [CrossRef]   [PubMed]  

19. S.-H. Hong, J.-S. Jang, and B. Javidi, “Three-dimensional volumetric object reconstruction using computational integral imaging,” Opt. Express 12(3), 483–491 (2004). [CrossRef]   [PubMed]  

20. S.-C. Kim, S.-C. Park, and E.-S. Kim, “Computational integral-imaging reconstruction-based 3-D volumetric target object recognition by using a 3-D reference object,” Appl. Opt. 48(34), H95–H104 (2009). [PubMed]  

Supplementary Material (6)

NameDescription
Visualization 1: MOV (2200 KB)      Visualization 1
Visualization 2: MOV (2656 KB)      Visualization 2
Visualization 3: MOV (2258 KB)      Visualization 3
Visualization 4: MOV (1685 KB)      Visualization 4
Visualization 5: MOV (2177 KB)      Visualization 5
Visualization 6: MOV (2031 KB)      Visualization 6

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Figures (12)

Fig. 1
Fig. 1 Basic structure of the IIM.
Fig. 2
Fig. 2 Correlation between the DoF of MLA and z.
Fig. 3
Fig. 3 The dependence of DIIM on z, where (a) M = 5 and NA = 0.14 mm, and (b) M = 10 and NA = 0.28 mm.
Fig. 4
Fig. 4 Schematic of the proposed IIM system with dual MLAs and dual cameras.
Fig. 5
Fig. 5 Schematic of the DoF enhancement in the proposed IIM using two MLAs: (a) pickup and (b) reconstruction.
Fig. 6
Fig. 6 Schematic for the (a) first and (b) second conditions.
Fig. 7
Fig. 7 Numerical simulation results: (a) the first case where fLA1fLA2 and g1 = g2, and (b) the second case where fLA1 = fLA2 and g1 > g2.
Fig. 8
Fig. 8 A photograph of the prototype DoF-enhanced IIM system.
Fig. 9
Fig. 9 (a) The 2D images for top (left) and bottom (right) sides of a surface-mounted resistor, the corresponding EIAs, and reconstructed orthographic-view images; (b) images of the stamen (left) and pistil (right) of a chrysanthemum flower and their corresponding EIAs, and the reconstructed orthographic-view images; and (c) images of the left eye (left) and right eye (right) of a fruit fly, their corresponding EIAs, and orthographic-view images.
Fig. 10
Fig. 10 The reconstructed depth slices for each EIA captured from the different depth planes of the specimens: the depth slices for corresponding EIA1 (left) and EIA2 (right) of (a) a surface-mounted resistor (Visualization 1), (b) a chrysanthemum flower (Visualization 2), and (c) a fruit fly (Visualization 3).
Fig. 11
Fig. 11 The PSD values for each of the depth-sliced reconstructions from EIA1 and EIA2: (a) the surface-mounted resistor, (b) the chrysanthemum flower, and (c) the fruit fly.
Fig. 12
Fig. 12 The overall visualizations of the three objects with combined the well-focused depth slices: (a) a surface-mounted resistor (Visualization 4), (b) a chrysanthemum flower (Visualization 5), and (c) a fruit fly (Visualization 6).

Equations (8)

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D con = λn N A 2 + n MNA P S ,
D LA = λ N A LA 2 + z gN A LA P S ,
D IIM = 1 M 2 D LA .
{ D IIM1 = 1 M 2 ( λ N A LA1 2 + z 1 g 1 N A LA1 P S ),whereN A LA1 = P EL 2 f LA1 D IIM2 = 1 M 2 ( λ N A LA2 2 + z 2 g 2 N A LA2 P S ),whereN A LA2 = P EL 2 f LA2 ,
D tot_gen = D IIM1 + D IIM2 D ov ,where D ov >0,
D ov =( z 2 z 1 )( z 2 z 1 z 1 2 )( z 2 z 1 z 2 2 )= 3 z 1 z 2 2 .
D tot_gen = D IIM1 + D IIM2 D ov = = λ g 1 g 2 ( N A LA1 2 +N A LA2 2 )+N A LA1 N A LA2 P S ( g 1 z 2 N A LA1 + g 2 z 1 N A LA2 ) g 1 g 2 N A LA1 2 N A LA2 2 M 2 3 z 1 z 2 2 , where D ov >0.
D tot_max = D IIM1 + D IIM2 = = λ g 1 g 2 ( N A LA1 2 +N A LA2 2 )+N A LA1 N A LA2 P S ( g 1 z 2 N A LA1 + g 2 z 1 N A LA2 ) g 1 g 2 N A LA1 2 N A LA2 2 M 2 , where D ov =0.
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