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Aro: a machine learning approach to identifying single molecules and estimating classification error in fluorescence microscopy images
BACKGROUND: Recent techniques for tagging and visualizing single molecules in fixed or living organisms and cell lines have been revolutionizing our understanding of the spatial and temporal dynamics of fundamental biological processes. However, fluorescence microscopy images are often noisy, and it...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450985/ https://www.ncbi.nlm.nih.gov/pubmed/25880543 http://dx.doi.org/10.1186/s12859-015-0534-z |