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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...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6886781/ https://ncbi.nlm.nih.gov/pubmed/31790435 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0225410 |
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