Multiplane differential phase contrast imaging using asymmetric illumination in volume holographic microscopy

Chia, Yu-Hsin; Vyas, Sunil; Tsai, Jui‐Chang; Huang, Yi‐You; Yeh, J. Andrew; Luo, Yuan

doi:10.1117/1.jbo.25.12.123704

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…As a primarily computational method, phase retrieval has benefited greatly from advances in computing power. The practical application of phase retrieval for QPI therefore began in the 1990s with extensive use of computing resources. , Advances in optical systems further enhanced phase retrieval QPI, including the use of color-multiplexing to obtain phase data from a single image, lens-less phase retrieval with super-resolution reconstruction, and volumetric holography using asymmetric illumination . Looking forward, phase retrieval stands to benefit greatly from future advances in computation.…”

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

et al. 2022

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Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with significant opportunities for biomedical applications. QPI uses the natural phase shift of light as it passes through a transparent object, such as a mammalian cell, to quantify biomass distribution and spatial and temporal changes in biomass. Reported in cell studies more than 60 years ago, ongoing advances in QPI hardware and software are leading to numerous applications in biology, with a dramatic expansion in utility over the past two decades. Today, investigations of cell size, morphology, behavior, cellular viscoelasticity, drug efficacy, biomass accumulation and turnover, and transport mechanics are supporting studies of development, physiology, neural activity, cancer, and additional physiological processes and diseases. Here, we review the field of QPI in biology starting with underlying principles, followed by a discussion of technical approaches currently available or being developed, and end with an examination of the breadth of applications in use or under development. We comment on strengths and shortcomings for the deployment of QPI in key biomedical contexts and conclude with emerging challenges and opportunities based on combining QPI with other methodologies that expand the scope and utility of QPI even further.

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Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

et al. 2022

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“…It has been shown that a prerecorded knife edge filter can also be used to obtain phase contrast images and the advantages of such a system were discussed. Recently a multiplane qualitative DPC imaging technique using volume holographic grating was proposed [32]. Simultaneous multiplane DPC images were acquired by the use of an angularly multiplexed volume holographic grating [33,34].…”

Section: Qualitative Differential Phase Contrast Microscopymentioning

confidence: 99%

Isotropic quantitative differential phase contrast imaging techniques: a review

Vyas¹,

Li²,

Lin³

et al. 2022

J. Phys. D: Appl. Phys.

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Optical phase shifts generated by the spatial variation of refractive index and thickness inside the transparent samples can be determined by intensity measurements through quantitative phase contrast imaging. In this review, we focus on isotropic quantitative differential phase-contrast microscopy(qDPC), which is a non-interferometric quantitative phase imaging technique and belongs to the class of deterministic phase retrieval from intensity. The qDPC is based on the principle of a weak object transfer function together with the first-order Born approximation in a partially coherent illumination system and wide-field detection, which offers multiple advantages. We review basic principles, imaging systems, and demonstrate examples of differential phase contrast (DPC) imaging for biomedical applications. In addition to the previous work, we present the latest results for isotropic phase contrast enhancements using a deep learning approach. We implemented a supervised learning approach with the U-Net model to reduce the number of measurements required for multi-axis measurements associated with the isotropic phase transfer function. We show that a well-designed and trained neural network provide a fast and efficient way to predict quantitative phase maps for live cells, which can help in determining morphological parameters. The prospects of deep learning in quantitative phase microscopy, particularly for isotropic quantitative phase estimation, are discussed.

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Dielectric Metasurfaces for Broadband Phase-Contrast Relief-Like Imaging

Deng,

Kanwal,

Wang

et al. 2024

Nano Lett.

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The visualization of transparent specimens in traditional light microscopy is impeded by insufficient intrinsic contrast, prompting the development of advanced contrastenhancement methodologies to transmute minute phase discrepancies into detectable amplitude alterations. While existing methods excel in either phase-contrast imaging (contrast-enhanced image of whole objects) or relief-like imaging (deceptive threedimensional images), it would be of great significance to seamlessly integrate both capabilities in the same device. Here, we propose a novel metasurface-assisted half-side phase-contrast technique capable of simultaneous phase-contrast and relief-like imaging across the visible spectrum, which is realized by introducing a ±π/ 2 phase shift to a half-side diffracted wave emitted by the objects. Our method showcases successful application to diverse specimens, including a transparent silica disk and a frog egg cell. Our work substantiates high-quality microscopic imaging of various transparent specimens, which has profound implications in cellular biology, materials science, and medical diagnostics.

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Multiplane differential phase contrast imaging using asymmetric illumination in volume holographic microscopy

Cited by 3 publications

References 19 publications

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

Isotropic quantitative differential phase contrast imaging techniques: a review

Dielectric Metasurfaces for Broadband Phase-Contrast Relief-Like Imaging

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