An automated image processing routine for segmentation of cell cytoplasms in high-resolution autofluorescence images

Alex J. Walsh; Melissa C. Skala

doi:10.1117/12.2040644

28 February 2014 An automated image processing routine for segmentation of cell cytoplasms in high-resolution autofluorescence images

Alex J. Walsh, Melissa C. Skala

Author Affiliations +

Proceedings Volume 8948, Multiphoton Microscopy in the Biomedical Sciences XIV; 89481M (2014) https://doi.org/10.1117/12.2040644
Event: SPIE BiOS, 2014, San Francisco, California, United States

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 and 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); https://doi.org/10.1117/12.2040644

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