A contact-imaging based microfluidic cytometer with machine-learning for single-frame super-resolution processing
Lensless microfluidic imaging with super-resolution processing has become a promising solution to miniaturize the conventional flow cytometer for point-of-care applications. The previous multi-frame super-resolution processing system can improve resolution but has limited cell flow rate and hence lo...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2014
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/105049 http://hdl.handle.net/10220/20408 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Nanyang Technological University |
| 語言: | English |