Impact of image segmentation on high-content screening data quality for SK-BR-3 cells

BACKGROUND: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses automated microscopy to collect images of cultured cells. The images are subjected to segmentation algorithms to identify...

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Detalles Bibliográficos
Autores principales: Hill, Andrew A, LaPan, Peter, Li, Yizheng, Haney, Steve
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2080643/
https://www.ncbi.nlm.nih.gov/pubmed/17868449
http://dx.doi.org/10.1186/1471-2105-8-340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2080643/
https://www.ncbi.nlm.nih.gov/pubmed/17868449
http://dx.doi.org/10.1186/1471-2105-8-340

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