28 February 2014 An automated image processing routine for segmentation of cell cytoplasms in high-resolution autofluorescence images
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Abstract
The heterogeneity of genotypes and phenotypes within cancers is correlated with disease progression and drug-resistant cellular sub-populations. Therefore, robust techniques capable of probing majority and minority cell populations are important both for cancer diagnostics and therapy monitoring. Herein, we present a modified CellProfiler routine to isolate cytoplasmic fluorescence signal on a single cell level from high resolution auto-fluorescence microscopic images.
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Alex J. Walsh, Melissa C. Skala, "An automated image processing routine for segmentation of cell cytoplasms in high-resolution autofluorescence images", Proc. SPIE 8948, Multiphoton Microscopy in the Biomedical Sciences XIV, 89481M (28 February 2014); doi: 10.1117/12.2040644; https://doi.org/10.1117/12.2040644
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