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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Detalles Bibliográficos
Autores principales: Huang, Xiwei, Jiang, Yu, Liu, Xu, Xu, Hang, Han, Zhi, Rong, Hailong, Yang, Haiping, Yan, Mei, Yu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134495/
https://www.ncbi.nlm.nih.gov/pubmed/27827837
http://dx.doi.org/10.3390/s16111836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134495/
https://www.ncbi.nlm.nih.gov/pubmed/27827837
http://dx.doi.org/10.3390/s16111836

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