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...

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Detalles Bibliográficos
Autores principales: Kobayashi, Hirofumi, Lei, Cheng, Wu, Yi, Mao, Ailin, Jiang, Yiyue, Guo, Baoshan, Ozeki, Yasuyuki, Goda, Keisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
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

Internet

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

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