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        <title>Frontiers in Photonics | Optical Information Processing and Holography section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/photonics/sections/optical-information-processing-and-holography</link>
        <description>RSS Feed for Optical Information Processing and Holography section in the Frontiers in Photonics journal | New and Recent Articles</description>
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        <pubDate>2026-05-14T16:27:20.586+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2025.1592919</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2025.1592919</link>
        <title><![CDATA[Editorial: Ocular imaging technology and application]]></title>
        <pubdate>2025-03-26T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Xinyu Liu</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2024.1492075</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2024.1492075</link>
        <title><![CDATA[Single to multiple digital holograms for phase compensation and defect detection]]></title>
        <pubdate>2024-11-19T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Zhenkai Chen</author><author>Wenjing Zhou</author><author>Zhou Ge</author><author>Yingjie Yu</author><author>Hongbo Zhang</author><author>Ting-Chung Poon</author>
        <description><![CDATA[Digital holography enables quantitative phase imaging based on interference. A digital hologram often encodes the phase information along with aberrations or deformations. This article reviews phase analysis and its diverse application solutions and challenges in digital holography including aberrations removal in a single hologram, defect and deformation detection using dual-holograms, and defect location in multi-holograms. The state-of-the-art of the techniques are presented and discussed in detail for phase analysis, separation, and quantification. Phase analysis in digital holography can provide high precision, high resolution, rapid quantitative and intelligent imaging abilities.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2024.1502043</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2024.1502043</link>
        <title><![CDATA[Editorial: Advances in digital holographic microscopy and applications]]></title>
        <pubdate>2024-10-10T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Inbarasan Muniraj</author><author>Claas Falldorf</author><author>Mostafa Agour</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2024.1416347</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2024.1416347</link>
        <title><![CDATA[Lensless multi-spectral holographic interferometry for optical inspection]]></title>
        <pubdate>2024-08-05T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Mostafa Agour</author><author>Fabian Thiemicke</author><author>André F. Müller</author><author>Ralf B. Bergmann</author><author>Claas Falldorf</author>
        <description><![CDATA[We explore the principles, implementation details, and performance characteristics of a lensless multi-spectral digital holographic sensor and demonstrate its potential for quality assurance in semiconductor manufacturing. The method is based on capturing multi-spectral digital holograms, which are subsequently utilized to evaluate the shape of a reflective test object. It allows for a compact setup satisfying high demands regarding robustness against mechanical vibrations and thus overcomes limitations associated with conventional optical inspection setups associated with lens-based white light interferometry. Additionally, the tunable laser source enhances the versatility of the system and enables adaptation to various sample characteristics. Experimental results based on a wafer test specimen demonstrate the effectiveness of the method. The axial resolution of the sensor is ±2.5 nm, corresponding to 1σ.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2024.1351744</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2024.1351744</link>
        <title><![CDATA[High-resolution imaging for in-situ non-destructive testing by quantitative lensless digital holography]]></title>
        <pubdate>2024-05-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Daniel Ruiz-Cadalso</author><author>Cosme Furlong</author>
        <description><![CDATA[Quantitative imaging technologies for in-situ non-destructive testing (NDT) demand high-resolution, wide-field, and stable metrology capabilities. Moreover, live processing and automation are vital for real-time quality control and inspection. Conventional methods use complex optical setups, resulting in large, immobile systems which can solely operate within controlled environmental conditions due to temporal instabilities, rendering them unsuitable for in-situ measurements of micro-to nano-scale physical phenomena. This article delves into the multiphysics application of lensless digital holography, emphasizing its metrological capacity for various in-situ scenarios, while acknowledging and characterizing the differing constraints imposed by various physical phenomena, both transient and steady-state. The digital reconstruction of holograms is computed in real-time, and numerical focusing capabilities allow for instantaneous retrieval of the optical phase at various working distances without the need of complex optical setups, making lensless digital holography well-suited for in-situ quantitative imaging under various types of environments. Current NDT capabilities are demonstrated, including high-resolution and real-time reconstructions, simultaneous measurements for comparative metrology, and practical applications ranging from vibrations and acoustics to thermo-mechanics. Furthermore, methodologies to enhance overall metrology capabilities are exploited, addressing the study of existing physical phenomena, thereby expanding the applicability of holographic techniques across diverse industrial sectors.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2024.1359595</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2024.1359595</link>
        <title><![CDATA[Automatic identification and analysis of cells using digital holographic microscopy and Sobel segmentation]]></title>
        <pubdate>2024-02-19T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Zihan Xiong</author><author>Lan Yu</author><author>Sha An</author><author>Juanjuan Zheng</author><author>Ying Ma</author><author>Vicente Micó</author><author>Peng Gao</author>
        <description><![CDATA[Counting and analyzing of blood cells, as well as their subcellular structures, are indispensable for understanding biological processes, studying cell functions, and diagnosing diseases. In this paper, we combine digital holographic microscopy with cell segmentation guided by the Sobel operator using Dice coefficients for automatic threshold selection and aimed to automatic counting and analysis of blood cells in flow and different kinds of cells in the static state. We demonstrate the proposed method with automatic counting and analyzing rat red blood cells (RBCS) flowing in a microfluidic device, extracting quickly and accurately the size, concentration, and dry mass of the sample in a label-free manner. The proposed technique was also demonstrated for automatic segmentation of different cell types, such as COS7 and Siha. This method can help us in blood inspection, providing pathological information in disease diagnosis and treatment.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2023.1301708</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2023.1301708</link>
        <title><![CDATA[Lipid quantification in living microalgal cultures with digital holographic microscopy]]></title>
        <pubdate>2024-01-05T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Catherine Yourassowsky</author><author>Renaud Theunissen</author><author>Jérôme Dohet-Eraly</author><author>Frank Dubois</author>
        <description><![CDATA[Large amounts of lipids are stored inside lipid droplets by some microalgae. Since these lipids can be used to produce nutraceuticals and biodiesel in a sustainable way, research is developing on fast non-destructive methods to quantify and monitor the amount of lipids within microalgal cultures. In this paper, we have developed with digital holographic microscopy a fast quantitative method to assess the evolution of the lipid content inside the diatom Phaeodactylum tricornutum living cells. The method uses a specific processing of recorded hologram sequences based on the refocusing capability in digital holographic microscopy. In representative samples of the culture, inside living cells, each lipid droplet volume is evaluated. In those experiments, for each sample, more than one thousand lipid droplets are automatically analysed from a sequence of one hundred recorded holograms. We have validated the method thanks to correlative quantitative phase contrast–fluorescence imaging and extrapolated it to larger calibrated spherical refractive particles, to demonstrate the flexibility of the method.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2023.1153760</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2023.1153760</link>
        <title><![CDATA[Editorial: Advanced photonic devices and sensing systems]]></title>
        <pubdate>2023-02-14T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Akhilesh Kumar Pathak</author><author>Rahul Kumar Gangwar</author><author>Sushank Chaudhary</author><author>Sneha Kumari</author><author>Santosh Kumar</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2023.1096294</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2023.1096294</link>
        <title><![CDATA[Incoherent color holography lattice light-sheet for subcellular imaging of dynamic structures]]></title>
        <pubdate>2023-02-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Simon Alford</author><author>Christopher Mann</author><author>Jonathan Art</author><author>Mariana Potcoava</author>
        <description><![CDATA[The purpose of the article is to explore the need and advantages of using the incoherent color holography lattice light-sheet (ICHLLS) to provide multiwavelength quantitative monitoring of 3D cellular dynamics in live tissue to further understand complex functions of cells and cellular compartments. We have explored the use of incoherent color holography lattice light-sheet to investigate colocalization of fluorescent markers in live cells in intact tissue. Neuronal structures provide an attractive target for incoherent color holography lattice light-sheet. The cells show a complex architecture in 3D space in which signaling both between cells and within subcellular structures requires colocalization of proteins and lipids to function. During activity and over long periods it is important in understanding these signaling functions in Parkinson’s, Alzheimer’s and motoneuron diseases within live cells in intact tissue. As a proof of concept this article recalls the key aspects in lattice light-sheet imaging and provides a description of the incoherent detection system configuration to actively control dual diffractive lenses phase-shifting at multiple excitation wavelengths sequentially, and per each z-galvo scanning level, with extended field-of-view. The incoherent color holography lattice light-sheet system will allow simultaneous recording of multidimensional object waves that contain intensity in 3D space, phase, and wavelength information. We measure colocalization of fluorescence indicators introduced into live cells in intact neural tissue.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.1083139</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.1083139</link>
        <title><![CDATA[Live-cell analysis framework for quantitative phase imaging with slightly off-axis digital holographic microscopy]]></title>
        <pubdate>2022-12-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Qian Shen</author><author>Zhuoshi Li</author><author>Jiasong Sun</author><author>Yao Fan</author><author>Yuanyuan Chen</author><author>Haojie Gu</author><author>Peng Gao</author><author>Qian Chen</author><author>Chao Zuo</author>
        <description><![CDATA[Label-free quantitative phase imaging is an essential tool for studying in vitro living cells in various research fields of life sciences. Digital holographic microscopy (DHM) is a non-destructive full-field microscopy technique that provides phase images by directly measuring the optical path differences, which facilitates cell segmentation and allows the determination of several important cellular physical features, such as dry mass. In this work, we present a systematic analysis framework for live-cell imaging and morphological characterization, terms as LAF (live-cell analysis framework). All image processing algorithms involved in this framework are implemented on the high-resolution artifact-free quantitative phase images obtained by our previously proposed slightly off-axis holographic system (FPDH) and associated reconstruction methods. A highly robust automated cell segmentation method is applied to extract the valid cellular region, followed by live-cell analysis framework algorithms to determine the physical and morphological properties, including the area, perimeter, irregularity, volume and dry mass, of each individual cell. Experiments on live HeLa cells demonstrate the validity and effectiveness of the presented framework, revealing its potential for diverse biomedical applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.1073297</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.1073297</link>
        <title><![CDATA[Editorial: Digital holography: Applications and emerging technologies]]></title>
        <pubdate>2022-11-21T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>P. W. M. Tsang</author><author>Ting-Chung Poon</author><author>Yaping Zhang</author><author>Pietro Ferraro</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.936561</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.936561</link>
        <title><![CDATA[High-throughput artifact-free slightly off-axis holographic imaging based on Fourier ptychographic reconstruction]]></title>
        <pubdate>2022-07-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Qian Shen</author><author>Jiasong Sun</author><author>Yao Fan</author><author>Zhuoshi Li</author><author>Peng Gao</author><author>Qian Chen</author><author>Chao Zuo</author>
        <description><![CDATA[Slightly off-axis digital holographic microscopy (DHM) has recently gained considerable attention due to its unique ability to improve the space-bandwidth product (SBP) of the imaging system while separating the object information from the background intensity to a certain extent. In order to obtain a decent image reconstruction, the spectral aliasing problem still needs to be addressed, which, however, is difficult to be achieved by the conventional linear Fourier domain filtering. To this end, in this paper, we propose a high-throughput artifact-free slightly off-axis holographic reconstruction method based on Fourier ptychographic microscopy (FPM). Inspired by the nonlinear optimized phase reconstruction algorithm of FPM, we perform constrained updates between the real and Fourier domains in an iterative manner to reconstruct the complex amplitude by the hologram intensity. Experimental results on live HeLa cell samples show that the proposed method can provide higher reconstruction accuracy and better image quality compared with the conventional Fourier method and the Kramers–Kronig (KK) relation-based method.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.929031</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.929031</link>
        <title><![CDATA[Multi-View Acoustic Field Imaging With Digital Color Holography]]></title>
        <pubdate>2022-06-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Saoucene Hassad</author><author>Kouider Ferria</author><author>Larbi Bouamama</author><author>Pascal Picart</author>
        <description><![CDATA[This paper proposes an approach for acoustic field imaging using simultaneous multi-view digital holography based on three-color digital off-axis holography. Considering spatio-chromatic multiplexing and the recording with a monochrome sensor, the numerical processing of time-sequences of holograms yields both the amplitude and phase of the acoustic field along three different directions of observation. Distortion analysis is presented and the acousto-optic interaction along the optical beam is discussed using a theoretical modelling. Experimental results with an emitter at 40 kHz establish the proof-of-concept of the proposed multi-view imaging for acoustic fields.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.929936</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.929936</link>
        <title><![CDATA[Augmentation of 3D Holographic Image Graticule With Conventional Microscopy]]></title>
        <pubdate>2022-06-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Mehdi Askari</author><author>Jae-Hyeung Park</author>
        <description><![CDATA[In this paper, we report an implementation of a computer-generated holographic projection technique to display a holographic scene like a measuring graticule around the magnified sample image in a reflected bright-field microscopy. The implemented system acts as a gauging tool for lateral and longitudinal measurements of a sample that is being observed under a microscope through the assistance of a holographic measuring graticule. Numerical and experimental verifications have been performed, demonstrating the successful augmentation of a holographic projection system as a measuring tool with a conventional bright-field microscopic system.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.919050</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.919050</link>
        <title><![CDATA[Aberration Compensated Point Light Source Display With High-Resolution]]></title>
        <pubdate>2022-06-16T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yulian Cao</author><author>Byamba-Ochir Chagnaadorj</author><author>Nomin-Erdene Dalkhaa</author><author>Ganbat Baasantseren</author>
        <description><![CDATA[A high-resolution enhanced point light source integral imaging display is proposed. Using additional light sources to create extra point light sources in the point light source plane, the point light sources appeared on the plane that deviated from the expected values because of aberrations in the lens. Previously, only the lens array aberration was corrected and the distance along the horizontal and vertical axes was corrected too. The objective of this paper is to simultaneously correct the aberration between the lens array and the collimating lens, plus the horizontal and vertical axes, and correct the error along the z-axis. So, we determined the distance between the central light source and the additional light source to compensate for lens aberrations. From the experimental results, our technique precisely increased the resolution 3 times in both vertical and horizontal dimensions when compared to a traditional point light source display. Our method is applicable to 3D displays and compensates for the lens array and collimating lens aberrations.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.907847</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.907847</link>
        <title><![CDATA[Coherent Noise Suppression of Single-Shot Digital Holographic Phase Via an Untrained Self-Supervised Network]]></title>
        <pubdate>2022-06-09T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Ju Tang</author><author>Jiawei Zhang</author><author>Ji Wu</author><author>Jianglei Di</author><author>Jianlin Zhao</author>
        <description><![CDATA[In digital holography, the coherent noise affects the measurement accuracy and reliability greatly due to the high spatial and temporal coherence of the laser. Especially, compared with the speckle noise of intensity in digital holography, the coherent noise of phase contains more medium- and low-frequency characteristics, which hinders the effectiveness of noise suppression algorithms. Here, we propose a single-shot untrained self-supervised network (SUSNet) for the coherent noise suppression of phase, requiring only one noisy phase map to complete the optimization and learning. The SUSNet can smoothen and suppress the background fluctuations, parasitic fringes, and diffraction loops in a noisy phase and shows good generalization performance for samples with different shapes, sizes, and phase ranges. Compared with the traditional algorithms and the ground truth-supervised neural network (DnCNN), the SUSNet has the best noise suppression performance and background smoothing effect. As a result, the SUSNet can suppress the fluctuation range to ∼20% of the original range.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.855214</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.855214</link>
        <title><![CDATA[Transverse Traveling-Wave and Standing-Wave Ray-Wave Geometric Beams]]></title>
        <pubdate>2022-04-25T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Zhaoyang Wang</author><author>Ruilin Long</author><author>Zhensong Wan</author><author>Zijian Shi</author><author>Xinjie Liu</author><author>Qiang Liu</author><author>Xing Fu</author>
        <description><![CDATA[Ray-wave geometric beam is an exotic kind of structured light with ray-wave duality and coupled diverse degrees of freedom (DoFs), which has attracted intense attention due to its potential applications in theories and applications. This work offers a new insight that the traditional ray-wave geometric beams can be seen as the transverse standing-wave (SW) beams, and can be decomposed into the superposition of transverse traveling-wave (TW) beams. We construct a generalized model for transverse TW and SW ray-wave geometric beams in the wave picture. In experiment, we exploit a digital hologram system with more flexible tunable DoFs to generate the transverse TW and SW beams, inspiring the exploration for the spatial wave structure of more complex structured light.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.845971</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.845971</link>
        <title><![CDATA[A Survey for 3D Flame Chemiluminescence Tomography: Theory, Algorithms, and Applications]]></title>
        <pubdate>2022-03-29T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Ying Jin</author><author>Guohai Situ</author>
        <description><![CDATA[Combustion diagnostics play an essential role in energy engineering, transportation, and aerospace industries, which has great potential in combustion efficiency improvement and polluting emission control. The three-dimensional (3D) visualization of the combustion field and the measurement of key physical parameters such as temperature, species concentration, and velocity during the combustion process are important topics in the field of combustion diagnostics. Benefiting from the non-contact and non-intrusive advantages of the optical detection method as well as the advantages of the 3D full-field measurement of the measured field by computational tomography, flame chemiluminescence tomography (FCT) has the ability to realize non-intrusive and instantaneous 3D quantitative measurement and 3D full-field visualization of key physical parameters in the combustion process, which has crucial research significance in combustion diagnostics. In this study, we review the progress of FCT technique. First, we provide an extensive review of practical applications of FCT in state-of-the-art combustion diagnostics and research. Then, the basic concepts and mathematical theory of FCT are elaborated. Finally, we introduce the conventional reconstruction algorithm and proceed to more popular artificial intelligence-based algorithms.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.865666</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.865666</link>
        <title><![CDATA[A Multi-Wavelength Phase Retrieval With Multi-Strategy for Lensfree On-Chip Holography]]></title>
        <pubdate>2022-03-28T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Qinhua Wang</author><author>Jianshe Ma</author><author>Ping Su</author>
        <description><![CDATA[Due to convenient operation and robust imaging, multi-wavelength phase retrieval has been widely applied in lensfree on-chip digital holographic microscope (LFOCDHM). Nevertheless, the insufficient diffraction variation and small number of measurements on the LFOCDHM make it difficult to eliminate the twin image by multi-wavelength phase retrieval. We propose a multi-wavelength phase retrieval for LFOCDHM based on energy constraint, global update strategy, and vector extrapolation acceleration. Simulations and experiments on the LFOCDHM show that our proposed method realizes efficient elimination effect and robust reconstruction with three wavelengths for illumination while maintaining fast convergence. More importantly, the proposed method is simple and non-parametric. It is believed that the proposed method could provide a promising solution for LFOCDHM.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphot.2022.854391</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphot.2022.854391</link>
        <title><![CDATA[Deep-Learning Computational Holography: A Review]]></title>
        <pubdate>2022-03-28T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Tomoyoshi Shimobaba</author><author>David Blinder</author><author>Tobias Birnbaum</author><author>Ikuo Hoshi</author><author>Harutaka Shiomi</author><author>Peter Schelkens</author><author>Tomoyoshi Ito</author>
        <description><![CDATA[Deep learning has been developing rapidly, and many holographic applications have been investigated using deep learning. They have shown that deep learning can outperform previous physically-based calculations using lightwave simulation and signal processing. This review focuses on computational holography, including computer-generated holograms, holographic displays, and digital holography, using deep learning. We also discuss our personal views on the promise, limitations and future potential of deep learning in computational holography.]]></description>
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