CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images

BACKGROUND: Algorithmic cellular segmentation is an essential step for the quantitative analysis of highly multiplexed tissue images. Current segmentation pipelines often require manual dataset annotation and additional training, significant parameter tuning, or a sophisticated understanding of prog...

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Detalles Bibliográficos
Autores principales: Lee, Michael Y., Bedia, Jacob S., Bhate, Salil S., Barlow, Graham L., Phillips, Darci, Fantl, Wendy J., Nolan, Garry P., Schürch, Christian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767664/
https://www.ncbi.nlm.nih.gov/pubmed/35042474
http://dx.doi.org/10.1186/s12859-022-04570-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767664/
https://www.ncbi.nlm.nih.gov/pubmed/35042474
http://dx.doi.org/10.1186/s12859-022-04570-9

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