Unmixing biological fluorescence image data with sparse and low-rank Poisson regression

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MOTIVATION: Multispectral biological fluorescence microscopy has enabled the identification of multiple targets in complex samples. The accuracy in the unmixing result degrades (i) as the number of fluorophores used in any experiment increases and (ii) as the signal-to-noise ratio in the recorded im...

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Detalles Bibliográficos
Autores principales: Wang, Ruogu, Lemus, Alex A, Henneberry, Colin M, Ying, Yiming, Feng, Yunlong, Valm, Alex M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081874/
https://www.ncbi.nlm.nih.gov/pubmed/36964716
http://dx.doi.org/10.1093/bioinformatics/btad159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081874/
https://www.ncbi.nlm.nih.gov/pubmed/36964716
http://dx.doi.org/10.1093/bioinformatics/btad159

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