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Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs
MOTIVATION: Spectral unmixing methods attempt to determine the concentrations of different fluorophores present at each pixel location in an image by analyzing a set of measured emission spectra. Unmixing algorithms have shown great promise for applications where samples contain many fluorescent lab...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7523684/ https://ncbi.nlm.nih.gov/pubmed/31504202 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz674 |
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