Yüklüyor......
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...
Kaydedildi:
| Yayımlandı: | Sensors (Basel) |
|---|---|
| Asıl Yazarlar: | , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2016
|
| Konular: | |
| Online Erişim: | 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 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|