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Journal articles on the topic 'Holographic microscopy'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 June 2025

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1

Fedorov, A. G., V. V. Platonov, L. L. Zhondorova, and L. N. Fedorova. "Development of a digital holographic microscope model for the investigate of structures in the optical range." Vestnik of North-Eastern Federal University History Political Science Law 21, no. 2 (2024): 77–83. http://dx.doi.org/10.25587/2222-5404-2024-21-2-77-83.

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One of the modern and relevant methods for investigating the structures of objects is based on the holographic method of recording signals (holographic microscopy). The main advantage of this method is the ability to obtain complete information about the object. In other words, this method makes it possible to record not only the amplitude, but also the phase of the wave. This is achieved thanks to a recording scheme in which the phase of the wave is some modulation of the intensity. This advantage makes holographic microscopy an effective tool for the investigate of particles/microparticles in gases, liquids and solid materials in the form of thin films or in sufficiently transparent materials for optical waves (one of the main limitations of the holographic recording scheme is to investigate only objects with high transmissivity, i.e. the reference wave is must be about 70% or more of the total wave). Within the framework of this work, we consider the scheme of in-line holography (Gabor holography). The undoubted advantage of the in-line holographic investigation method is that it is limited only by the wavelength range. In other words, by changing the wavelength of the source, a wide range of objects can be examined. For example, in-line holography is used in low energy electron microscopes, which allows the atomic structure of an object to be studied. In the case when the source is a laser (optical range), a holographic microscope provides a wide range of possibilities for investigation the micro-objects, from various bacteria to various fine–structured particles. We developed a model of a digital holographic microscope for the study of structures in the optical range, based on the Gabor in-line holography method. This model of the microscope is developed on the Raspberry Pi Zero 2W platform.

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Chen, Duofang, Lin Wang, Xixin Luo, Hui Xie, and Xueli Chen. "Resolution and Contrast Enhancement for Lensless Digital Holographic Microscopy and Its Application in Biomedicine." Photonics 9, no. 5 (2022): 358. http://dx.doi.org/10.3390/photonics9050358.

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An important imaging technique in biomedicine, the conventional optical microscopy relies on relatively complicated and bulky lens and alignment mechanics. Based on the Gabor holography, the lensless digital holographic microscopy has the advantages of light weight and low cost. It has developed rapidly and received attention in many fields. However, the finite pixel size at the sensor plane limits the spatial resolution. In this study, we first review the principle of lensless digital holography, then go over some methods to improve image contrast and discuss the methods to enhance the image resolution of the lensless holographic image. Moreover, the applications of lensless digital holographic microscopy in biomedicine are reviewed. Finally, we look forward to the future development and prospect of lensless digital holographic technology.

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Zhang, Tong, Ichirou Yamaguchi, and Hywel Morgan. "Digital Holographic Microscopy." Microscopy and Microanalysis 5, S2 (1999): 362–63. http://dx.doi.org/10.1017/s1431927600015130.

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We applied phase-shifting digital holography to microscopy in this paper. At first lensless microscopy is proposed, in which no optical adjustment is necessary. Then, the method is applied to relax the limitation of focal depth in traditional optical microscopy. A theory for image formation and experimental verification using a few specimens are described.keywords: microscopy, digital holography, phase shiftingDue to the finite focal depth of an imaging lens, a limitation to normal optical microscopy-is that, only the 2-dimensional (2-D) information of an object can be obtained at one time. Besides, it is not convenient for quantitative analysis the observed image. Optical sectioning microscopy (OSM) and scanning confocal microscopy (SCM) which use opto-electronic detection have been proposed for quantitative analysis of a 3-D object. However, the former requires critical mechanical adjustment, while the latter uses timeconsuming mechanical 3-D scanning. Holographic microscopy can solve these problems because it can record 3-D information at one time. But, the chemical processing of holograms and the mechanical focusing at the reconstructed images cause more or less trouble. A 3-D imaging technique without use of photographic recording called optical scanning holography has recently been reported. However, there are also some trouble owing to the twin-image noise.

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Balasubramani, Vinoth, Małgorzata Kujawińska, Cédric Allier, et al. "Roadmap on Digital Holography-Based Quantitative Phase Imaging." Journal of Imaging 7, no. 12 (2021): 252. http://dx.doi.org/10.3390/jimaging7120252.

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Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or technical microstructures, merging beneficial features identified with microscopy, interferometry, holography, and numerical computations. This roadmap article reviews several digital holography-based QPI approaches developed by prominent research groups. It also briefly discusses the present and future perspectives of 2D and 3D QPI research based on digital holographic microscopy, holographic tomography, and their applications.

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5

Yang, Shuntao. "Digital holographic microscopy of highly sensitive living cells." Journal of Computational Methods in Sciences and Engineering 21, no. 6 (2021): 1985–97. http://dx.doi.org/10.3233/jcm215504.

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In order to solve the problem that the existing living cell microscopy technology can not display the detailed information of cells, a high sensitivity digital holographic living cell microscopy technology is proposed in this paper. By measuring the phase distribution and refractive index distribution of living cells, the data of living cells are extracted and converted into digital hologram of living cells. Simulation and comparison of the commonly used two-dimensional living cell microscope methods. The experimental results show that the high-sensitivity digital holographic microscopic detection method can obtain the detailed information of living cells, which proves the effectiveness of this study.

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6

Yang, Thomas Zhirui, and Yumin Wu. "Seeing cells without a lens: Compact 3D digital lensless holographic microscopy for wide-field imaging." Theoretical and Natural Science 12, no. 1 (2023): 61–72. http://dx.doi.org/10.54254/2753-8818/12/20230434.

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Optical microscopy is an essential tool for biomedical discoveries and cell diagnosis at micro- to nano-scales. However, conventional microscopes rely on lenses to record 2-D images of samples, which limits in-depth inspection of large volumes of cells. This research project implements a novel 3-D lensless microscopic imaging system that achieves a wide field of view, high resolution, and an extremely compact, cost-effective design: the Digital Lensless Holographic Microscope (DLHM).A lensless holographic microscope is built with only a light source, a sample, and an imaging chip (with other non-essential supporting structures). The entire setup costs $500 to $600. A series of MATLAB-based algorithms were designed to reconstruct phase information of samples simultaneously from the recorded hologram with built-in high-resolution and phase unwrapping functions. This produces 3-D images of cell samples. The 3-D cell reconstruction of biological samples maintained a comparable resolution with conventional optical microscopes while covering a field of view of 36.2 mm2, which is 20-30 times larger. While most microscopes are extremely time-consuming and require professional expertise, the lensless holographic microscope is portable, low-cost, high-stability, and extremely simple. This makes it accessible for point-of-care testing (POCT) to a broader coverage, including developing regions with limited medical facilities.

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7

Dudek, Julia, Mikołaj Rogalski, Julianna Winnik, Piotr Arcab, Piotr Zdańkowski, and Maciej Trusiak. "Autofocusing method for lensless digital in-line holographic microscopy with misaligned illumination." Photonics Letters of Poland 16, no. 4 (2024): 79–81. https://doi.org/10.4302/plp.v16i4.1306.

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This study presents a correction method in Lensless Digital In-line Holographic Microscopy accounting for tilted illumination to address challenges caused by misalignments in the optical setup. An autofocusing method is discussed, utilizing a sharpness criterion based on amplitude variance to find both propagation distance and illumination tilt for precise holographic reconstruction of phase objects. The proposed algorithm was rigorously tested under large illumination angles, demonstrating its effectiveness in maintaining high reconstruction quality for demanding imaging scenarios. Full Text: PDF References Z. Huang and L. Cao, "Deep learning sheds new light on non-orthogonal optical multiplexing", Light Sci Appl 13, 145 (2024). CrossRef V. Balasubramani, M. Kujawińska, C. Allier, V. Anand, C.-J. Cheng, C. Depeursinge, N. Hai, S. Juodkazis, J. Kalkman, A. Kuś, M. Lee, P.J. Magistretti, P. Marquet, S.H. Ng, J. Rosen, Y.K. Park, and M. Ziemczonok, "Roadmap on Digital Holography-Based Quantitative Phase Imaging", J. Imaging 7, 252 (2021). CrossRef V. Anand, T. Katkus, D.P. Linklater, E.P. Ivanova, S. Juodkazis, "Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm", J. Imaging 6, 99 (2020). CrossRef A. Ozcan, E. McLeod, "Lensless Imaging and Sensing", Annual Review of Biomedical Engineering 18, 77 (2016). CrossRef C.J. Potter, Z. Xiong, E. McLeod, "Clinical and Biomedical Applications of Lensless Holographic Microscopy", Laser Phot. Rev. 18, 2400197 (2024). CrossRef N.N. Evtikhiev, S.N. Starikov, P.A. Cheryomkhin, V.V. Krasnov, V.G. Rodin, "Numerical and optical reconstruction of digital off-axis Fresnel holograms", Proc. SPIE 8429, 84291M (2012). CrossRef T. Wu, Y. Yang, H. Wang, H. Chen, H. Zhu, J. Yu, X. Wang, "Investigation of an Improved Angular Spectrum Method Based on Holography", Photonics 11, 16 (2024). CrossRef M. Trusiak, J.-A. Picazo-Bueno, P. Zdankowski, V. Micó, "DarkFocus: numerical autofocusing in digital in-line holographic microscopy using variance of computational dark-field gradient", Optics and Lasers in Engineering 134, 106195 (2020). CrossRef F. Dubois, C. Schockaert, N. Callens, C. Yourassowsky, "Focus plane detection criteria in digital holography microscopy by amplitude analysis", Opt. Express 14, 5895 (2006). CrossRef Y. Zhang, H. Wang, Y. Wu, M. Tamamitsu, A. Ozcan, "Edge sparsity criterion for robust holographic autofocusing", Opt. Lett. 42, 3824 (2017). CrossRef Z. Ren, Z. Xu, E.Y. Lam, "Learning-based nonparametric autofocusing for digital holography", Optica 5, 337 (2018). CrossRef R.W. Gerchberg, W.O. Saxton, "A Practical Algorithm for the Determination of Phase from Image and Diffraction Plane Pictures", Optik 35, 237 (1972). CrossRef J.R. Fienup, "Phase retrieval algorithms: a comparison", Appl. Opt. 21, 2758 (1982). CrossRef T.-C. Poon, T. Kim, G. Indebetouw, B.W. Schilling, M.H. Wu, K. Shinoda, Y. Suzuki, "Twin-image elimination experiments for three-dimensional images in optical scanning holography", Opt. Lett. 25, 215 (2000). CrossRef Y. Rivenson, Y. Wu, H. Wang, Y. Zhang, A. Feizi, A. Ozcan, "Sparsity-based multi-height phase recovery in holographic microscopy", Sci. Rep. 6, 37862 (2016). CrossRef M. Rogalski, P. Arcab, L. Stanaszek, V. Micó, C. Zuo, M. Trusiak, "Physics-driven universal twin-image removal network for digital in-line holographic microscopy", Opt. Express 32, 742 (2024). CrossRef Y. Rivenson, Y. Wu, A. Ozcan, "Deep learning in holography and coherent imaging", Light Sci. Appl. 8, 85 (2019). CrossRef

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Nienałtowski, Patryk, Maria Baczewska, and Małgorzata Kujawińska. "Comparison of fixed and living biological cells parameters investigated with digital holographic microscope." Photonics Letters of Poland 12, no. 1 (2020): 13. http://dx.doi.org/10.4302/plp.v12i1.971.

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The statistical analysis and comparison of biophysical parameters of living and fixed, mouse embryonic fibroblasts cells are presented. The parameters are calculated based on phase measurements performed by means of a digital, holographic microscope. The phases are retrieved from off-axis, image plane holograms, followed by custom image segmentation and statistical analysis of cells’ surface, phase volume and dry mass. The results indicated statistically significant differences between fixed and living cell parameters, which is an important message for setting methodology for further diagnosis based on quantitative phase (label-free) analysis.Full Text: PDF References:K. Alm, et al. "Cells and Holograms – Holograms and Digital Holographic Microscopy as a Tool to Study the Morphology of Living Cells", InTech, 2013. [CrossRef]Y. Rivenson, Y. Wu, A. Ozcan, Light: "Deep learning in holography and coherent imaging", Science & Applications, 8, Art. No. 85 (2019) [CrossRef]Min, et al. Optics Letters, 42, Issue 2, pp. 227-230, (2017) [CrossRef]M. Baczewska, Measurements and analysis of cells and histological skin sections based on digital holographic microscopy, WUT master thesis, 2018. [CrossRef]P. Stępień, D. Korbuszewski, M. Kujawińska, "Digital Holographic Microscopy with extended field of view using tool for generic image stitching", ETRI Journal, 41(1), 73-83, (2019). [CrossRef]S. Beucher, Serge, The Watershed Transformation Applied To Image Segmentation, Scanning microscopy. Supplement 6, (2000) [DirectLink]J. A. Hartigan, M. A. Wong, "A K-Means Clustering Algorithm", Applied Statistics, (1979) [CrossRef]J. Serra, Image Analysis and Mathematical Morphology, Academic Press, (1982) [DirectLink]P. Girshovitz, N. T. Shaked, "Generalized cell morphological parameters based on interferometric phase microscopy and their application to cell life cycle characterization", Biomedical Optics Express Vol. 3, Issue 8, pp. 1757-1773, (2012) [CrossRef]

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9

Li, Ying, Wenlong Shao, Lijie Hou, and Changxi Xue. "Phase Disturbance Compensation for Quantitative Imaging in Off-Axis Digital Holographic Microscopy." Photonics 12, no. 4 (2025): 345. https://doi.org/10.3390/photonics12040345.

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Holographic detection technology has found extensive applications in biomedical imaging, surface profilometry, vibration monitoring, and defect inspection due to its unique phase detection capability. However, the accuracy of quantitative holographic phase imaging is significantly affected by the interference from direct current and twin image terms. Traditional methods, such as multi-exposure phase shifting and off-axis holography, have been employed to mitigate these interferences. While off-axis holography separates spectral components by introducing a tilted reference beam, it inevitably induces phase disturbances that compromise measurement accuracy. This study provides a computational explanation for the incomplete phase compensation issue in existing algorithms and establishes precision criteria for phase compensation based on theoretical formulations. We propose two novel phase compensation methods—the non-iterative compensation approach and the multi-iteration compensation technique. The principles and applicable conditions of these methods are thoroughly elucidated, and their superiority is demonstrated through comparative experiments. The results indicate that the proposed methods effectively compensate for phase disturbances induced by the tilted reference beam, offering enhanced precision and reliability in quantitative holographic phase measurements.

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10

Kemper, Björn, Patrik Langehanenberg, and Gert von Bally. "Digital Holographic Microscopy." Optik & Photonik 2, no. 2 (2007): 41–44. http://dx.doi.org/10.1002/opph.201190249.

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11

García, Javier, Micó Vicente, and Zalevsky Zeev. "Superresolved Holographic Microscopy." Imaging & Microscopy 10, no. 1 (2008): 38–39. http://dx.doi.org/10.1002/imic.200890014.

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12

Kemper, Björn, Patrik Langehanenberg, Angelika Vollmer, Steffi Ketelhut, and Gert von Bally. "Digital Holographic Microscopy." Imaging & Microscopy 11, no. 4 (2009): 26–28. http://dx.doi.org/10.1002/imic.200990081.

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13

Kemper, Björn, and Elizabeth Illy. "Digital Holographic Microscopy." PhotonicsViews 17, no. 1 (2020): 32–35. http://dx.doi.org/10.1002/phvs.202000007.

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14

Lv, Xiaoyu, Bin Xiangli, Wenxi Zhang, et al. "Multiframe full-field heterodyne digital holographic microscopy." Chinese Optics Letters 14, no. 5 (2016): 050901. http://dx.doi.org/10.3788/col201614.050901.

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15

D. G. Abdelsalam, D. G. Abdelsalam, Junwei Min Junwei Min, Daesuk Kim Daesuk Kim, and Baoli Yao Baoli Yao. "Digital holographic shape measurement using Fizeau microscopy." Chinese Optics Letters 13, no. 10 (2015): 100701–5. http://dx.doi.org/10.3788/col201513.100701.

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16

Niedziela, Karolina, Mikolaj Rogalski, Piotr Arcab, Julianna Winnik, Piotr Zdańkowski, and Maciej Trusiak. "Pixel Super Resolution with Axial Scanning in Lensless Digital In-line Holographic Microscopy." Photonics Letters of Poland 16, no. 4 (2024): 76–78. https://doi.org/10.4302/plp.v16i4.1305.

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This paper presents the Pixel Super Resolution with Axial Scanning (PSR-AS) technique to enhance the resolution of Lensless Digital In-line Holographic Microscopy (LDHM). By utilizing multiple holograms captured at different axial distances, PSR allows for the recovery of high-resolution information, improving the image clarity and information content. Experimental results demonstrate a twofold lateral resolution enhancement, achieving the resolution of 1.23 μm in amplitude imaging and significantly augmenting phase reconstruction quality. The integration of PSR-AS into LDHM systems leads to notable reductions in noise and artifacts, offering a promising approach for high-resolution imaging in applications such as biomedical diagnostics and environmental monitoring. Full Text: PDF References Y. Park, C. Depeursinge, and G. Popescu, "Quantitative phase imaging in biomedicine," Nature Photon, 12(10), 578 (2018). CrossRef D. Gabor, "A New Microscopic Principle," Nature, 161(4098), 777 (1948). CrossRef K. Matsushima and T. Shimobaba, "Band-Limited Angular Spectrum Method for Numerical Simulation of Free-Space Propagation in Far and Near Fields," Opt. Express, 17(22), 19662 (2009). CrossRef Y. Wu and A. Ozcan, "Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring," Methods, 136, 4 (2018). CrossRef J. Zhang, J. Sun, Q. Chen, and C. Zuo, "Resolution Analysis in a Lens-Free On-Chip Digital Holographic Microscope," IEEE Transactions on Computational Imaging, 6, 697 (2020). CrossRef Gerchberg, R. W.. “A practical algorithm for the determination of phase from image and diffraction plane pictures.” Optik 35, 237 (1972). CrossRef H. Lee, J. Kim, J. Kim, P. Jeon, S. A. Lee, and D. Kim, "Noniterative sub-pixel shifting super-resolution lensless digital holography," Opt. Express,29(19), 29996 (2021). CrossRef A. Greenbaum and A. Ozcan, "Maskless imaging of dense samples using pixel super-resolution based multi-height lensfree on-chip microscopy," Opt. Express, 20(3), 3129 (2012). CrossRef J. Zhang, J. Sun, Q. Chen, J. Li, and C. Zuo, "Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy," Sci Rep, 7(1), 11777 (2017). CrossRef L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Physica D: Nonlinear Phenomena, 60(1), 259 (1992). CrossRef

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Ren, Haoran, Wei Shao, Yi Li, Flora Salim, and Min Gu. "Three-dimensional vectorial holography based on machine learning inverse design." Science Advances 6, no. 16 (2020): eaaz4261. http://dx.doi.org/10.1126/sciadv.aaz4261.

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The three-dimensional (3D) vectorial nature of electromagnetic waves of light has not only played a fundamental role in science but also driven disruptive applications in optical display, microscopy, and manipulation. However, conventional optical holography can address only the amplitude and phase information of an optical beam, leaving the 3D vectorial feature of light completely inaccessible. We demonstrate 3D vectorial holography where an arbitrary 3D vectorial field distribution on a wavefront can be precisely reconstructed using the machine learning inverse design based on multilayer perceptron artificial neural networks. This 3D vectorial holography allows the lensless reconstruction of a 3D vectorial holographic image with an ultrawide viewing angle of 94° and a high diffraction efficiency of 78%, necessary for floating displays. The results provide an artificial intelligence–enabled holographic paradigm for harnessing the vectorial nature of light, enabling new machine learning strategies for holographic 3D vectorial fields multiplexing in display and encryption.

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Adinda-Ougba, A., N. Koukourakis, N. C. Gerhardt, and M. R. Hofmann. "Simple concept for a wide-field lensless digital holographic microscope using a laser diode." Current Directions in Biomedical Engineering 1, no. 1 (2015): 261–64. http://dx.doi.org/10.1515/cdbme-2015-0065.

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AbstractWide-field, lensless digital holographic microscopy is a new microscopic imaging technique for telemedicine and for resource limited setting [1]. In this contribution we propose a very simple wide-field lensless digital holographic microscope using a laser diode. It is based on in-line digital holography which is capable to provide amplitude and phase images of a sample resulting from numerical reconstruction. The numerical reconstruction consists of the angular spectrum propagation method together with a phase retrieval algorithm. Amplitude and phase images of the sample with a resolution of ∽2 µm and with ∽24 mm2 field of view are obtained. We evaluate our setup by imaging first the 1951 USAF resolution test chart to verify the resolution. Second, we record holograms of blood smear and diatoms. The individual specimen can be easily identified after the numerical reconstruction. Our system is a very simple, compact and low-cost possibility of realizing a microscope capable of imaging biological samples. The availability of the phase provide topographic information of the sample extending the application of this system to be not only for biological sample but also for transparent microstructure. It is suitable for fault detection, shape and roughness measurements of these structures.

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Liebel, Matz, Franco V. A. Camargo, Giulio Cerullo, and Niek F. van Hulst. "Ultrafast Transient Holographic Microscopy." Nano Letters 21, no. 4 (2021): 1666–71. http://dx.doi.org/10.1021/acs.nanolett.0c04416.

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Bishara, Waheb, Hongying Zhu, and Aydogan Ozcan. "Holographic opto-fluidic microscopy." Optics Express 18, no. 26 (2010): 27499. http://dx.doi.org/10.1364/oe.18.027499.

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Lopera, Maria J., Maciej Trusiak, Ana Doblas, Heidi Ottevaere, and Carlos Trujillo. "Mueller-Gabor holographic microscopy." Optics and Lasers in Engineering 178 (July 2024): 108191. http://dx.doi.org/10.1016/j.optlaseng.2024.108191.

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22

Tonomura, A. "Electron-holographic interference microscopy." Advances in Physics 41, no. 1 (1992): 59–103. http://dx.doi.org/10.1080/00018739200101473.

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Kalenkov, G. S., S. G. Kalenkov, and A. E. Shtan'ko. "Hyperspectral holographic Fourier-microscopy." Quantum Electronics 45, no. 4 (2015): 333–38. http://dx.doi.org/10.1070/qe2015v045n04abeh015584.

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Vinu, R. V., Ziyang Chen, Rakesh Kumar Singh, and Jixiong Pu. "Ghost diffraction holographic microscopy." Optica 7, no. 12 (2020): 1697. http://dx.doi.org/10.1364/optica.409886.

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Emery, Yves, Etienne Cuche, Christian Depeursinge, Pierre Marquet, Benjamin Rappaz, and Pierre Magistretti. "Digital Holographic Microscopy (DHM)." Imaging & Microscopy 8, no. 2 (2006): 46–48. http://dx.doi.org/10.1002/imic.200790040.

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Mihaylova, Emilia Mitkova. "Imaging of Live Cells by Digital Holographic Microscopy." Photonics 11, no. 10 (2024): 980. http://dx.doi.org/10.3390/photonics11100980.

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Imaging of microscopic objects is of fundamental importance, especially in life sciences. Recent fast progress in electronic detection and control, numerical computation, and digital image processing, has been crucial in advancing modern microscopy. Digital holography is a new field in three-dimensional imaging. Digital reconstruction of a hologram offers the remarkable capability to refocus at different depths inside a transparent or semi-transparent object. Thus, this technique is very suitable for biological cell studies in vivo and could have many biomedical and biological applications. A comprehensive review of the research carried out in the area of digital holographic microscopy (DHM) for live-cell imaging is presented. The novel microscopic technique is non-destructive and label-free and offers unmatched imaging capabilities for biological and bio-medical applications. It is also suitable for imaging and modelling of key metabolic processes in living cells, microbial communities or multicellular plant tissues. Live-cell imaging by DHM allows investigation of the dynamic processes underlying the function and morphology of cells. Future applications of DHM can include real-time cell monitoring in response to clinically relevant compounds. The effect of drugs on migration, proliferation, and apoptosis of abnormal cells is an emerging field of this novel microscopic technique.

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Fan, Xin, John J. Healy, Kevin O’Dwyer, Julianna Winnik, and Bryan M. Hennelly. "Adaptation of the Standard Off-Axis Digital Holographic Microscope to Achieve Variable Magnification." Photonics 8, no. 7 (2021): 264. http://dx.doi.org/10.3390/photonics8070264.

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Traditional microscopy provides only for a small set of magnifications using a finite set of microscope objectives. Here, a novel architecture is proposed for quantitative phase microscopy that requires only a simple adaptation of the traditional off-axis digital holographic microscope. The architecture has the key advantage of continuously variable magnification, resolution, and Field-of-View, by simply moving the sample. The method is based on combining the principles of traditional off-axis digital holographic microscopy and Gabor microscopy, which uses a diverging spherical wavefield for magnification. We present a proof-of-concept implementation and ray-tracing is used to model the magnification, Numerical Aperture, and Field-of-View as a function of sample position. Experimental results are presented using a micro-lens array and shortcomings of the method are highlighted for future work; in particular, the problem of aberration is highlighted, which results from imaging far from the focal plane of the infinity corrected microscope objective.

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Ohshita, Akinori, Hiroshi Minamide, Yahachi Saito, and Hiroshi Tomita. "Holographic Interference Electron Microscopy by Numerical Reconstruction Method." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 1 (1990): 220–21. http://dx.doi.org/10.1017/s0424820100179853.

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Holographic interference electron microscopy has recently been put to practical use with a field-emission electron microscope. In this microscopy, the optical image reconstruction method are usually used, but many practical difficulties such as optical adjustment are always accompanied. On the other hand, the numerical image reconstruction method has many advantages. In this paper, therefore, holographic interference electron microscopy are tried by using a numerically reconstructed image.In the first step, an off-axis Fresnel electron hologram (Fig.1) was formed in a 100 kV thermionic-emission electron microscope equipped with an electron biprism. MgO smoke particles were used as a specimen. A reconstructed image is given by the convolution of amplitude transmittance of an electron hologram with propagation function from a hologram plane to an image reconstruction plane. In the second step for the numerical reconstruction, the hologram was enlarged and printed on a photographic paper.

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Dwapanyin, George, Darren Chow, Tiffany Tan, et al. "Assessing embryo quality with digital holographic microscopy." EPJ Web of Conferences 287 (2023): 03014. http://dx.doi.org/10.1051/epjconf/202328703014.

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A low-powered, non-invasive digital holographic microscopic imaging technique for embryo quality assessment is presented. Two groups of 2 cell-stage embryos cultured in media of different lipid concentrations have been characterized with digital holographic microscopy for lipid aggregation. The study suggests refractive index measurements are reflective of the lipid and dry mass content in embryos thus making DHM a prospective label-free diagnostic tool for quality assessments in assisted reproduction.

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Zhai, Xiaomin, Wei-Tang Lin, Hsi-Hsun Chen, et al. "In-line digital holographic imaging in volume holographic microscopy." Optics Letters 40, no. 23 (2015): 5542. http://dx.doi.org/10.1364/ol.40.005542.

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Jang, Changwon, Jonghyun Kim, David C. Clark, Seungjae Lee, Byoungho Lee, and Myung K. Kim. "Holographic fluorescence microscopy with incoherent digital holographic adaptive optics." Journal of Biomedical Optics 20, no. 11 (2015): 111204. http://dx.doi.org/10.1117/1.jbo.20.11.111204.

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Kou, Shan S., and Colin J. Sheppard. "Imaging in digital holographic microscopy." Optics Express 15, no. 21 (2007): 13640. http://dx.doi.org/10.1364/oe.15.013640.

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Mico, Vicente, Javier Garcia, Zeev Zalevsky, and Bahram Javidi. "Phase-Shifting Gabor Holographic Microscopy." Journal of Display Technology 6, no. 10 (2010): 484–89. http://dx.doi.org/10.1109/jdt.2010.2041526.

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Schilling, Bradley W., Ting-Chung Poon, Guy Indebetouw, et al. "Three-dimensional holographic fluorescence microscopy." Optics Letters 22, no. 19 (1997): 1506. http://dx.doi.org/10.1364/ol.22.001506.

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Patel, Nimit, Vismay Trivedi, Swapnil Mahajan, et al. "Wavefront division digital holographic microscopy." Biomedical Optics Express 9, no. 6 (2018): 2779. http://dx.doi.org/10.1364/boe.9.002779.

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Garcia-Sucerquia, Jorge, Wenbo Xu, Stephan K. Jericho, Peter Klages, Manfred H. Jericho, and H. Jürgen Kreuzer. "Digital in-line holographic microscopy." Applied Optics 45, no. 5 (2006): 836. http://dx.doi.org/10.1364/ao.45.000836.

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Kalenkov, Sergey G., Georgy S. Kalenkov, and Alexander E. Shtanko. "Self-reference hyperspectral holographic microscopy." Journal of the Optical Society of America A 36, no. 2 (2019): A34. http://dx.doi.org/10.1364/josaa.36.000a34.

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Stickler, Daniel, Robert Frömter, Holger Stillrich, et al. "Soft x-ray holographic microscopy." Applied Physics Letters 96, no. 4 (2010): 042501. http://dx.doi.org/10.1063/1.3291942.

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Park, YongKeun, Wonshik Choi, Zahid Yaqoob, Ramachandra Dasari, Kamran Badizadegan, and Michael S. Feld. "Speckle-field digital holographic microscopy." Optics Express 17, no. 15 (2009): 12285. http://dx.doi.org/10.1364/oe.17.012285.

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Kreuzer, Hans J., and M. H. Manfred Jericho. "Digital In-line Holographic Microscopy." Imaging & Microscopy 9, no. 2 (2007): 63–65. http://dx.doi.org/10.1002/imic.200790157.

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Castañeda, Raul, Carlos Trujillo, and Ana Doblas. "pyDHM: A Python library for applications in digital holographic microscopy." PLOS ONE 17, no. 10 (2022): e0275818. http://dx.doi.org/10.1371/journal.pone.0275818.

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Abstract:

pyDHM is an open-source Python library aimed at Digital Holographic Microscopy (DHM) applications. The pyDHM is a user-friendly library written in the robust programming language of Python that provides a set of numerical processing algorithms for reconstructing amplitude and phase images for a broad range of optical DHM configurations. The pyDHM implements phase-shifting approaches for in-line and slightly off-axis systems and enables phase compensation for telecentric and non-telecentric systems. In addition, pyDHM includes three propagation algorithms for numerical focusing complex amplitude distributions in DHM and digital holography (DH) setups. We have validated the library using numerical and experimental holograms.

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Jun Ma, Jun Ma, Caojin Yuan Caojin Yuan, Guohai Situ Guohai Situ, Giancarlo Pedrini Giancarlo Pedrini, and Wolfgang Osten Wolfgang Osten. "Resolution enhancement in digital holographic microscopy with structured illumination." Chinese Optics Letters 11, no. 9 (2013): 090901–90905. http://dx.doi.org/10.3788/col201311.090901.

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Vilà, Anna, Sergio Moreno, Joan Canals, and Angel Diéguez. "A Compact Raster Lensless Microscope Based on a Microdisplay." Sensors 21, no. 17 (2021): 5941. http://dx.doi.org/10.3390/s21175941.

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Lensless microscopy requires the simplest possible configuration, as it uses only a light source, the sample and an image sensor. The smallest practical microscope is demonstrated here. In contrast to standard lensless microscopy, the object is located near the lighting source. Raster optical microscopy is applied by using a single-pixel detector and a microdisplay. Maximum resolution relies on reduced LED size and the position of the sample respect the microdisplay. Contrarily to other sort of digital lensless holographic microscopes, light backpropagation is not required to reconstruct the images of the sample. In a mm-high microscope, resolutions down to 800 nm have been demonstrated even when measuring with detectors as large as 138 μm × 138 μm, with field of view given by the display size. Dedicated technology would shorten measuring time.

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McCartney, M. R. "Electron Holographic Imaging of Magnetic Materials at Nanometer Scale Resolution." Microscopy and Microanalysis 3, S2 (1997): 519–20. http://dx.doi.org/10.1017/s143192760000948x.

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Traditional electron microscopy techniques for imaging magnetic microstructure include out-of-focus Fresnel or Lorentz imaging, Foucault imaging and differential phase contrast (DPC). Off-axis electron holography provides access to both the amplitude and phase of the electron wave which has passed through the sample and therefore can provide direct, quantitative information about the in-plane component of the magnetic induction. The Philips CM200-FEG microscope which was used for the holography described here is equipped with a powerful mini-lens below the specimen enabling 2nm spatial resolution and only a small residual field at the sample. The combination of high coherence and increased magnification enable quantitative mapping of magnetic induction at the nanometer scale.Electrostatic or magnetic potentials give rise to phase shifts in the holographic interference fringes which can be quantified following reconstruction. In the presence of a magnetic field, the phase equation (for constant composition and neglecting diffraction effects) becomes:

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Verrier, Nicolas, Matthieu Debailleul, and Olivier Haeberlé. "Recent Advances and Current Trends in Transmission Tomographic Diffraction Microscopy." Sensors 24, no. 5 (2024): 1594. http://dx.doi.org/10.3390/s24051594.

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Optical microscopy techniques are among the most used methods in biomedical sample characterization. In their more advanced realization, optical microscopes demonstrate resolution down to the nanometric scale. These methods rely on the use of fluorescent sample labeling in order to break the diffraction limit. However, fluorescent molecules’ phototoxicity or photobleaching is not always compatible with the investigated samples. To overcome this limitation, quantitative phase imaging techniques have been proposed. Among these, holographic imaging has demonstrated its ability to image living microscopic samples without staining. However, for a 3D assessment of samples, tomographic acquisitions are needed. Tomographic Diffraction Microscopy (TDM) combines holographic acquisitions with tomographic reconstructions. Relying on a 3D synthetic aperture process, TDM allows for 3D quantitative measurements of the complex refractive index of the investigated sample. Since its initial proposition by Emil Wolf in 1969, the concept of TDM has found a lot of applications and has become one of the hot topics in biomedical imaging. This review focuses on recent achievements in TDM development. Current trends and perspectives of the technique are also discussed.

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Kieber, Rémi, Luc Froehly, and Maxime Jacquot. "Physics-driven learning for digital holographic microscopy." EPJ Web of Conferences 309 (2024): 15005. http://dx.doi.org/10.1051/epjconf/202430915005.

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Deep neural networks based on physics-driven learning make it possible to train neural networks with a reduced data set and also have the potential to transfer part of the numerical computations to optical processing. The aim of this work is to develop the first deep holographic microscope device incorporating a hybrid neural network based on the plane-wave angular spectrum method for dynamic image autofocusing in microscopy applications.

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Tamrin, K. F., B. Rahmatullah, and S. M. Samuri. "Aberration compensation of holographic particle images using digital holographic microscopy." Journal of Modern Optics 62, no. 9 (2015): 701–11. http://dx.doi.org/10.1080/09500340.2014.1003257.

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Shimizu, Isao, Yoshinori Saikawa, Katsuhiro Uno, Hideaki Kano, and Seishi Shimizu. "Contrast-tuneable microscopy for single-shot real-time imaging." European Physical Journal Applied Physics 91, no. 3 (2020): 30701. http://dx.doi.org/10.1051/epjap/2020200101.

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A novel real image in-line laser holography has enabled a tuneable image contrast, edge sharpness, and visualization of sub-wavelength structures, using a simple pair of filters and large-diameter lenses that can incorporate higher-order scattered beams. Demonstrated also are the accuracy in object sizing and the ease of imaging along the focal depth, based on a single-shot imaging via holographic principle. In addition, the use of broad, collimated laser beam for irradiation has led to a wider field of view, making it particularly useful for an extensive monitoring of, and sweeping search for, cells and microbial colonies and for the real-time imaging of cancer-cell dynamics.

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Picazo-Bueno, José Ángel, Martín Sanz, Luis Granero, Javier García, and Vicente Micó. "Multi-Illumination Single-Holographic-Exposure Lensless Fresnel (MISHELF) Microscopy: Principles and Biomedical Applications." Sensors 23, no. 3 (2023): 1472. http://dx.doi.org/10.3390/s23031472.

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Lensless holographic microscopy (LHM) comes out as a promising label-free technique since it supplies high-quality imaging and adaptive magnification in a lens-free, compact and cost-effective way. Compact sizes and reduced prices of LHMs make them a perfect instrument for point-of-care diagnosis and increase their usability in limited-resource laboratories, remote areas, and poor countries. LHM can provide excellent intensity and phase imaging when the twin image is removed. In that sense, multi-illumination single-holographic-exposure lensless Fresnel (MISHELF) microscopy appears as a single-shot and phase-retrieved imaging technique employing multiple illumination/detection channels and a fast-iterative phase-retrieval algorithm. In this contribution, we review MISHELF microscopy through the description of the principles, the analysis of the performance, the presentation of the microscope prototypes and the inclusion of the main biomedical applications reported so far.

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Kim, Doocheol, Sanghoon Shin, and Younghun Yu. "Aspheric Lens Measurements by Digital Holographic Microscopy and Liquid." Korean Journal of Optics and Photonics 24, no. 6 (2013): 318–23. http://dx.doi.org/10.3807/kjop.2013.24.6.318.

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