Cell Spotter (CSPOT): A machine-learning approach to automated cell spotting and quantification of highly multiplexed tissue images

Highly multiplexed tissue imaging and in situ spatial profiling aim to extract single-cell data from specimens containing closely packed cells of diverse morphology. This is challenging due to the difficulty of accurately assigning boundaries between cells (segmentation) and then generating per-cell...

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Detalles Bibliográficos
Autores principales: Nirmal, Ajit J., Yapp, Clarence, Santagata, Sandro, Sorger, Peter K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680730/
https://www.ncbi.nlm.nih.gov/pubmed/38014110
http://dx.doi.org/10.1101/2023.11.15.567196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680730/
https://www.ncbi.nlm.nih.gov/pubmed/38014110
http://dx.doi.org/10.1101/2023.11.15.567196

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