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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| 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 |