28 February 2014 An automated image processing routine for segmentation of cell cytoplasms in high-resolution autofluorescence images
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alex J. Walsh, Alex J. Walsh, Melissa C. Skala, 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
PROCEEDINGS
6 PAGES


SHARE
Back to Top