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Morphologically constrained spectral unmixing by dictionary learning for multiplex fluorescence microscopy
MOTIVATION: Current spectral unmixing methods for multiplex fluorescence microscopy have a limited ability to cope with high spectral overlap as they only analyze spectral information over individual pixels. Here, we present adaptive Morphologically Constrained Spectral Unmixing (MCSU) algorithms th...
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| Publicado no: | Bioinformatics |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5951100/ https://ncbi.nlm.nih.gov/pubmed/28334208 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx108 |
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