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Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting
A lensless blood cell counting system integrating microfluidic channel and a complementary metal oxide semiconductor (CMOS) image sensor is a promising technique to miniaturize the conventional optical lens based imaging system for point-of-care testing (POCT). However, such a system has limited res...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5134495/ https://ncbi.nlm.nih.gov/pubmed/27827837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16111836 |
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