An open-source solution for advanced imaging flow cytometry data analysis using machine learning

Imaging flow cytometry (IFC) enables the high throughput collection of morphological and spatial information from hundreds of thousands of single cells. This high content, information rich image data can in theory resolve important biological differences among complex, often heterogeneous biological...

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Detalles Bibliográficos
Autores principales: Hennig, Holger, Rees, Paul, Blasi, Thomas, Kamentsky, Lee, Hung, Jane, Dao, David, Carpenter, Anne E., Filby, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5231320/
https://www.ncbi.nlm.nih.gov/pubmed/27594698
http://dx.doi.org/10.1016/j.ymeth.2016.08.018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5231320/
https://www.ncbi.nlm.nih.gov/pubmed/27594698
http://dx.doi.org/10.1016/j.ymeth.2016.08.018

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