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Robust blind spectral unmixing for fluorescence microscopy using unsupervised learning
Due to the overlapping emission spectra of fluorophores, fluorescence microscopy images often have bleed-through problems, leading to a false positive detection. This problem is almost unavoidable when the samples are labeled with three or more fluorophores, and the situation is complicated even fur...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886781/ https://www.ncbi.nlm.nih.gov/pubmed/31790435 http://dx.doi.org/10.1371/journal.pone.0225410 |