Deep learning-enabled computational cytometer using magnetically-modulated coherent imaging

• DOI: 10.1364/microscopy.2020.mtu2a.4
• Publication Date: 2020-05-19T15:46:56Z
• Authors: Tairan Liu; Yibo Zhang; Mengxing Ouyang; Aniruddha Ray; Janay Kong; Bijie Bai; Donghyuk Kim; Alexander Guziak; Yi Luo; Alborz Feizi; Katherine Tsai; Zhuoran Duan; Xuewei Liu; Danny Kim; Chloe Cheung; Sener Yalcin; Hatice Ceylan Koy...; Omai B. Garner; Dino Di Carlo; Aydogan Ozcan
• Keywords: 0103 physical sciences; 01 natural sciences

We present a cost-effective and high-throughput computational cytometer using magnetically-modulated lensless imaging technique deep learning-based classification, to rapidly detect rare cells in whole blood, achieving detection limit of 10 cells/mL.