A contact-imaging based microfluidic cytometer with machine-learning for single-frame super-resolution processing

• المؤلفون الرئيسيون: Huang, Xiwei, Guo, Jinhong, Wang, Xiaolong, Yan, Mei, Kang, Yuejun, Yu, Hao
• مؤلفون آخرون: Kreplak, Laurent
• التنسيق: مقال
• اللغة: English
• منشور في: 2014
• الموضوعات: DRNTU::Engineering::Chemical engineering::Biochemical engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/105049; http://hdl.handle.net/10220/20408

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...