Deep Learning in Label-free Cell Classification

Label-free cell analysis is essential to personalized genomics, cancer diagnostics, and drug development as it avoids adverse effects of staining reagents on cellular viability and cell signaling. However, currently available label-free cell assays mostly rely only on a single feature and lack suffi...

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Detalles Bibliográficos
Autores principales: Chen, Claire Lifan, Mahjoubfar, Ata, Tai, Li-Chia, Blaby, Ian K., Huang, Allen, Niazi, Kayvan Reza, Jalali, Bahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791545/
https://www.ncbi.nlm.nih.gov/pubmed/26975219
http://dx.doi.org/10.1038/srep21471

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791545/
https://www.ncbi.nlm.nih.gov/pubmed/26975219
http://dx.doi.org/10.1038/srep21471

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