Literature DB >> 30645449

Quantitative differential phase contrast (DPC) microscopy with computational aberration correction.

Michael Chen, Zachary F Phillips, Laura Waller.   

Abstract

Differential Phase Contrast (DPC) microscopy is a practical method for recovering quantitative phase from intensity images captured with different source patterns in an LED array microscope. Being a partially coherent imaging method, DPC does not suffer from speckle artifacts and achieves 2× better resolution than coherent methods. Like all imaging systems, however, DPC is susceptible to aberrations. Here, we propose a method of algorithmic self-calibration for DPC where we simultaneously recover the complex-field of the sample and the spatially-variant aberrations of the system, using 4 images with different illumination source patterns. The resulting phase reconstructions are digitally aberration-corrected.

Entities:  

Year:  2018        PMID: 30645449     DOI: 10.1364/OE.26.032888

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  6 in total

1.  Learned sensing: jointly optimized microscope hardware for accurate image classification.

Authors:  Alex Muthumbi; Amey Chaware; Kanghyun Kim; Kevin C Zhou; Pavan Chandra Konda; Richard Chen; Benjamin Judkewitz; Andreas Erdmann; Barbara Kappes; Roarke Horstmeyer
Journal:  Biomed Opt Express       Date:  2019-11-19       Impact factor: 3.732

2.  Self-calibrated 3D differential phase contrast microscopy with optimized illumination.

Authors:  Ruiming Cao; Michael Kellman; David Ren; Regina Eckert; Laura Waller
Journal:  Biomed Opt Express       Date:  2022-02-24       Impact factor: 3.732

3.  Parallel Fourier ptychographic microscopy for high-throughput screening with 96 cameras (96 Eyes).

Authors:  Antony C S Chan; Jinho Kim; An Pan; Han Xu; Dana Nojima; Christopher Hale; Songli Wang; Changhuei Yang
Journal:  Sci Rep       Date:  2019-07-31       Impact factor: 4.379

4.  Revealing architectural order with quantitative label-free imaging and deep learning.

Authors:  Syuan-Ming Guo; Li-Hao Yeh; Jenny Folkesson; Ivan E Ivanov; Anitha P Krishnan; Matthew G Keefe; Ezzat Hashemi; David Shin; Bryant B Chhun; Nathan H Cho; Manuel D Leonetti; May H Han; Tomasz J Nowakowski; Shalin B Mehta
Journal:  Elife       Date:  2020-07-27       Impact factor: 8.140

5.  Fabrication and Bonding of Refractive Index Matched Microfluidics for Precise Measurements of Cell Mass.

Authors:  Edward R Polanco; Justin Griffin; Thomas A Zangle
Journal:  Polymers (Basel)       Date:  2021-02-05       Impact factor: 4.329

6.  Neural network model assisted Fourier ptychography with Zernike aberration recovery and total variation constraint.

Authors:  Yongbing Zhang; Yangzhe Liu; Shaowei Jiang; Krishna Dixit; Pengming Song; Xinfeng Zhang; Xiangyang Ji; Xiu Li
Journal:  J Biomed Opt       Date:  2021-03       Impact factor: 3.170

  6 in total

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