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...
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| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/105049 http://hdl.handle.net/10220/20408 |
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| Institution: | Nanyang Technological University |
| Language: | English |