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

Alex J. Walsh, Melissa C. Skala

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationMultiphoton Microscopy in the Biomedical Sciences XIV
PublisherSPIE
ISBN (Print)9780819498618
DOIs
StatePublished - 2014
EventMultiphoton Microscopy in the Biomedical Sciences XIV - San Francisco, CA, United States
Duration: Feb 2 2014Feb 4 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8948
ISSN (Print)1605-7422

Other

OtherMultiphoton Microscopy in the Biomedical Sciences XIV
CountryUnited States
CitySan Francisco, CA
Period2/2/142/4/14

Keywords

  • fluorescence lifetime
  • image analysis
  • Microscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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