Design and implementation of a single-frame super-resolution processing alogrithm for lensless microfluidic imaging system
The contact-image based microfluidic cytometer with machine-learning for single-frame super-resolution processing is used to count and recognize multiple types of cells in clinical diagnostics and biological research As an extension research, this paper proposed a new algorithm that combines externa...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/64678 |
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