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Proceedings Paper

An automated image processing routine for segmentation of cell cytoplasms in high-resolution autofluorescence images
Author(s): Alex J. Walsh; Melissa C. Skala
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Paper 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.

Paper Details

Date Published: 28 February 2014
PDF: 6 pages
Proc. SPIE 8948, Multiphoton Microscopy in the Biomedical Sciences XIV, 89481M (28 February 2014); doi: 10.1117/12.2040644
Show Author Affiliations
Alex J. Walsh, Vanderbilt Univ. (United States)
Melissa C. Skala, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 8948:
Multiphoton Microscopy in the Biomedical Sciences XIV
Ammasi Periasamy; Peter T. C. So; Karsten König, Editor(s)

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