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Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning
In the last decade, high-content screening based on multivariate single-cell imaging has been proven effective in drug discovery to evaluate drug-induced phenotypic variations. Unfortunately, this method inherently requires fluorescent labeling which has several drawbacks. Here we present a label-fr...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622112/ https://www.ncbi.nlm.nih.gov/pubmed/28963483 http://dx.doi.org/10.1038/s41598-017-12378-4 |