Unmixing Biological Fluorescence Image Data with Sparse and Low-Rank Poisson Regression

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Multispectral biological fluorescence microscopy has enabled the identification of multiple targets in complex samples. The accuracy in the unmixing result degrades (1) as the number of fluorophores used in any experiment increases and (2) as the signal-to-noise ratio in the recorded images decrease...

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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: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882077/
https://www.ncbi.nlm.nih.gov/pubmed/36711559
http://dx.doi.org/10.1101/2023.01.06.523044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882077/
https://www.ncbi.nlm.nih.gov/pubmed/36711559
http://dx.doi.org/10.1101/2023.01.06.523044

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