Inverse scattering for reflection intensity phase microscopy

Matlock, Alex; Sentenac, Anne; Chaumet, Patrick C.; Yi, Ji; Tian, Lei

doi:10.1364/boe.380845

Cited by 18 publications

(18 citation statements)

References 92 publications

(151 reference statements)

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“…The object thickness becomes irrelevant in the modeling. Also, recent advances in light scattering models have enabled reflection-mode Fourier ptychography, 117,118 which can be further integrated with the modulation concept for deep tissue imaging. 111 It is worth noting that Fourier ptychography is inapplicable to fluorescent samples because the fluorescence emission is generally isotropic and independent of illumination angles.…”

Section: Fourier Ptychographymentioning

confidence: 99%

Review of bio-optical imaging systems with a high space-bandwidth product

Park

Brady

Zheng³

et al. 2021

Adv. Photon.

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Optical imaging has served as a primary method to collect information about biosystems across scales-from functionalities of tissues to morphological structures of cells and even at biomolecular levels. However, to adequately characterize a complex biosystem, an imaging system with a number of resolvable points, referred to as a space-bandwidth product (SBP), in excess of one billion is typically needed. Since a gigapixel-scale far exceeds the capacity of current optical imagers, compromises must be made to obtain either a low spatial resolution or a narrow field-of-view (FOV). The problem originates from constituent refractive optics-the larger the aperture, the more challenging the correction of lens aberrations. Therefore, it is impractical for a conventional optical imaging system to achieve an SBP over hundreds of millions. To address this unmet need, a variety of high-SBP imagers have emerged over the past decade, enabling an unprecedented resolution and FOV beyond the limit of conventional optics. We provide a comprehensive survey of high-SBP imaging techniques, exploring their underlying principles and applications in bioimaging.

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Section: Fourier Ptychographymentioning

confidence: 99%

Review of bio-optical imaging systems with a high space-bandwidth product

Park

Brady

Zheng³

et al. 2021

Adv. Photon.

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“…Here, the high order item of n Δ (x, y, z) was neglected since this value was always less than 0.2 [35]. According to this equation, n Δ (x, y, z) could be calculated with four different illumination wavelengths using least squares method [36]. Therefore, the two-dimensional tomography of refractive index distribution could be obtained.…”

Section: Qss Principle and Systemmentioning

confidence: 99%

Single cell capture, isolation, and long‐term in‐situ imaging using quantitative self‐interference spectroscopy

Wang

et al. 2021

Cytometry Pt A

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Single cell research with microfluidic chip is of vital importance in biomedical studies and clinical medicine. Simultaneous microfluidic cell manipulations and long-term cell monitoring needs further investigations due to the lack of label-free quantitative imaging techniques and systems. In this work, single cell capture, isolation and longterm in-situ monitoring was realized with a microfluidic cell chip, compact cell incubator and quantitative self-interference spectroscopy. The proposed imaging method could obtain quantitative and dynamic refractive index distribution in living cells. And the designed microfluidic chip could capture and isolate single cells. The customized incubator could support cell growth conditions when single cell was captured in microfluidic chip. According to the results, single cells could be trapped, transferred and pushed into the culture chamber with the microfluidic chip. The incubator could culture single cells in the chip for 120 h. The refractive index sensitivity of the proposed quantitative imaging method was 0.0282 and the relative error was merely 0.04%.

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“…By capturing backscattering signals, reflectance imaging provides access to the highest spatial frequency components in the reciprocal Fourier space and thus can provide higher structural contrast than the transmission techniques ( 2 ). Our recent work shows that backscattering signals allow resolving finer details than the transmission counterparts ( 8 , 9 ). In this work, we further leverage the higher sensitivity provided by the reflectance-mode microscopy and demonstrate how enriched label-free information allows predicting highly accurate subcellular structural features.…”

Section: Introductionmentioning

confidence: 99%

Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy

Cheng

Kim

et al. 2021

Sci. Adv.

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Traditional imaging cytometry uses fluorescence markers to identify specific structures but is limited in throughput by the labeling process. We develop a label-free technique that alleviates the physical staining and provides multiplexed readouts via a deep learning–augmented digital labeling method. We leverage the rich structural information and superior sensitivity in reflectance microscopy and show that digital labeling predicts accurate subcellular features after training on immunofluorescence images. We demonstrate up to three times improvement in the prediction accuracy over the state of the art. Beyond fluorescence prediction, we demonstrate that single cell–level structural phenotypes of cell cycles are correctly reproduced by the digital multiplexed images, including Golgi twins, Golgi haze during mitosis, and DNA synthesis. We further show that the multiplexed readouts enable accurate multiparametric single-cell profiling across a large cell population. Our method can markedly improve the throughput for imaging cytometry toward applications for phenotyping, pathology, and high-content screening.

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Inverse scattering for reflection intensity phase microscopy

Cited by 18 publications

References 92 publications

Review of bio-optical imaging systems with a high space-bandwidth product

Review of bio-optical imaging systems with a high space-bandwidth product

Single cell capture, isolation, and long‐term in‐situ imaging using quantitative self‐interference spectroscopy

Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy

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