Open AccessCellular analysis using label-free parallel array microscopy with Fourier ptychography
Author(s) -
Devin L. Wakefield,
Richard Graham,
Kevin Wong,
Songli Wang,
Christopher M. Hale,
Chung-Chieh Yu
Publication year - 2022
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.451128
Subject(s) - microscopy , phase imaging , ptychography , cell counting , segmentation , optics , computer science , image processing , materials science , fourier transform , biomedical engineering , computer vision , cell , chemistry , image (mathematics) , physics , medicine , biochemistry , cell cycle , diffraction , quantum mechanics
Quantitative phase imaging (QPI) is an ideal method to non-invasively monitor cell populations and provide label-free imaging and analysis. QPI offers enhanced sample characterization and cell counting compared to conventional label-free techniques. We demonstrate this in the current study through a comparison of cell counting data from digital phase contrast (DPC) imaging and from QPI using a system based on Fourier ptychographic microscopy (FPM). Our FPM system offers multi-well, parallel imaging and a QPI-specific cell segmentation method to establish automated and reliable cell counting. Three cell types were studied and FPM showed improvement in the ability to resolve fine details and thin cells, despite limitations of the FPM system incurred by imaging artifacts. Relative to manually counted fluorescence ground-truth, cell counting results after automated segmentation showed improved accuracy with QPI over DPC.