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Using machine-learning to optimize phase contrast in a low-cost cellphone microscope

Cellphones equipped with high-quality cameras and powerful CPUs as well as GPUs are widespread. This opens new prospects to use such existing computational and imaging resources to perform medical diagnosis in developing countries at a very low cost. Many relevant samples, like biological cells or w...

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Detalles Bibliográficos
Autores principales: Diederich, Benedict, Wartmann, Rolf, Schadwinkel, Harald, Heintzmann, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832211/
https://www.ncbi.nlm.nih.gov/pubmed/29494620
http://dx.doi.org/10.1371/journal.pone.0192937

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