A robust recognition error recovery for micro-flow cytometer by machine-learning enhanced single-frame super-resolution processing
With the recent advancement in microfluidics based lab-on-a-chip technology, lensless imaging system integrating microfluidic channel with CMOS image sensor has become a promising solution for the system minimization of flow cytometer. The design challenge for such an imaging-based micro-flow cytome...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2014
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/79256 http://hdl.handle.net/10220/24495 |
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機構: | Nanyang Technological University |
語言: | English |