Repository logo
 

GoIFISH: a system for the quantification of single cell heterogeneity from IFISH images.


Type

Article

Change log

Authors

Trinh, Anne 
Rye, Inga H 
Almendro, Vanessa 
Helland, Aslaug 
Russnes, Hege G 

Abstract

Molecular analysis has revealed extensive intra-tumor heterogeneity in human cancer samples, but cannot identify cell-to-cell variations within the tissue microenvironment. In contrast, in situ analysis can identify genetic aberrations in phenotypically defined cell subpopulations while preserving tissue-context specificity. GoIFISHGoIFISH is a widely applicable, user-friendly system tailored for the objective and semi-automated visualization, detection and quantification of genomic alterations and protein expression obtained from fluorescence in situ analysis. In a sample set of HER2-positive breast cancers GoIFISHGoIFISH is highly robust in visual analysis and its accuracy compares favorably to other leading image analysis methods. GoIFISHGoIFISH is freely available at www.sourceforge.net/projects/goifish/.

Description

Keywords

Breast Neoplasms, Female, Fluorescent Antibody Technique, Genetic Heterogeneity, Humans, Image Processing, Computer-Assisted, In Situ Hybridization, Fluorescence, Single-Cell Analysis, Software

Journal Title

Genome Biol

Conference Name

Journal ISSN

1474-760X
1474-760X

Volume Title

15

Publisher

Springer Science and Business Media LLC
Sponsorship
Cancer Research UK (C14303/A17197)
Cancer Research UK (CB4320)