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Unmixing biological fluorescence image data with sparse and low-rank Poisson regression
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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| 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 |
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