@inproceedings{58fcb7c937784b5b8dee67a71c24c411,
title = "An automated image processing routine for segmentation of cell cytoplasms in high-resolution autofluorescence images",
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.",
keywords = "Microscopy, fluorescence lifetime, image analysis",
author = "Walsh, {Alex J.} and Skala, {Melissa C.}",
year = "2014",
doi = "10.1117/12.2040644",
language = "English (US)",
isbn = "9780819498618",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
booktitle = "Multiphoton Microscopy in the Biomedical Sciences XIV",
address = "United States",
note = "Multiphoton Microscopy in the Biomedical Sciences XIV ; Conference date: 02-02-2014 Through 04-02-2014",
}