Literature DB >> 34924588

Synthetic aperture interference light (SAIL) microscopy for high-throughput label-free imaging.

Chenfei Hu, Mikhail E Kandel, Young Jae Lee, Gabriel Popescu.   

Abstract

Quantitative phase imaging (QPI) is a valuable label-free modality that has gained significant interest due to its wide potentials, from basic biology to clinical applications. Most existing QPI systems measure microscopic objects via interferometry or nonlinear iterative phase reconstructions from intensity measurements. However, all imaging systems compromise spatial resolution for the field of view and vice versa, i.e., suffer from a limited space bandwidth product. Current solutions to this problem involve computational phase retrieval algorithms, which are time-consuming and often suffer from convergence problems. In this article, we presented synthetic aperture interference light (SAIL) microscopy as a solution for high-resolution, wide field of view QPI. The proposed approach employs low-coherence interferometry to directly measure the optical phase delay under different illumination angles and produces large space-bandwidth product label-free imaging. We validate the performance of SAIL on standard samples and illustrate the biomedical applications on various specimens: pathology slides, entire insects, and dynamic live cells in large cultures. The reconstructed images have a synthetic numeric aperture of 0.45 and a field of view of 2.6 × 2.6 mm2. Due to its direct measurement of the phase information, SAIL microscopy does not require long computational time, eliminates data redundancy, and always converges.
© 2021 Author(s).

Entities:  

Year:  2021        PMID: 34924588      PMCID: PMC8660142          DOI: 10.1063/5.0065628

Source DB:  PubMed          Journal:  Appl Phys Lett        ISSN: 0003-6951            Impact factor:   3.791


  56 in total

1.  Information, resolution, and space-bandwidth product.

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Journal:  Opt Lett       Date:  1998-09-15       Impact factor: 3.776

2.  Simultaneous measurement of neurite and neural body mass accumulation via quantitative phase imaging.

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Journal:  Analyst       Date:  2021-01-04       Impact factor: 4.616

3.  Optical excitation and detection of neuronal activity.

Authors:  Chenfei Hu; Richard Sam; Mingguang Shan; Viorel Nastasa; Minqi Wang; Taewoo Kim; Martha Gillette; Parijat Sengupta; Gabriel Popescu
Journal:  J Biophotonics       Date:  2018-11-07       Impact factor: 3.207

4.  Endoscopic diffraction phase microscopy.

Authors:  Chenfei Hu; Shuaishuai Zhu; Liang Gao; Gabriel Popescu
Journal:  Opt Lett       Date:  2018-07-15       Impact factor: 3.776

5.  Sampling criteria for Fourier ptychographic microscopy in object space and frequency space.

Authors:  Jiasong Sun; Qian Chen; Yuzhen Zhang; Chao Zuo
Journal:  Opt Express       Date:  2016-07-11       Impact factor: 3.894

6.  Identifying fates of cancer cells exposed to mitotic inhibitors by quantitative phase imaging.

Authors:  Dian Huang; Irena J Roy; Graeme F Murray; Jason Reed; Thomas A Zangle; Michael A Teitell
Journal:  Analyst       Date:  2019-12-16       Impact factor: 4.616

7.  Prediction of prostate cancer recurrence using quantitative phase imaging.

Authors:  Shamira Sridharan; Virgilia Macias; Krishnarao Tangella; André Kajdacsy-Balla; Gabriel Popescu
Journal:  Sci Rep       Date:  2015-05-15       Impact factor: 4.379

8.  Label-free screening of brain tissue myelin content using phase imaging with computational specificity (PICS).

Authors:  Michael Fanous; Chuqiao Shi; Megan P Caputo; Laurie A Rund; Rodney W Johnson; Tapas Das; Matthew J Kuchan; Nahil Sobh; Gabriel Popescu
Journal:  APL Photonics       Date:  2021-07-12

9.  Interferometric mapping of material properties using thermal perturbation.

Authors:  Georges Goetz; Tong Ling; Tushar Gupta; Seungbum Kang; Jenny Wang; Patrick D Gregory; B Hyle Park; Daniel Palanker
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-26       Impact factor: 11.205

10.  Wolf phase tomography (WPT) of transparent structures using partially coherent illumination.

Authors:  Xi Chen; Mikhail E Kandel; Chenfei Hu; Young Jae Lee; Gabriel Popescu
Journal:  Light Sci Appl       Date:  2020-08-19       Impact factor: 17.782

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  1 in total

1.  GANscan: continuous scanning microscopy using deep learning deblurring.

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Journal:  Light Sci Appl       Date:  2022-09-07       Impact factor: 20.257

  1 in total

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