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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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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5832211/ https://ncbi.nlm.nih.gov/pubmed/29494620 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0192937 |
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