Computational cytometer based on magnetically modulated coherent imaging and deep learning

作     者：Yibo Zhang Mengxing Ouyang Aniruddha Ray Tairan Liu 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 Koydemir Omai B.Garner Dino Di Carlo Aydogan Ozcan 

作者机构：Electrical and Computer Engineering DepartmentUniversity of CaliforniaLos AngelesCA 90095USA Department of BioengineeringUniversity of CaliforniaLos AngelesCA 90095USA California NanoSystems InstituteUniversity of CaliforniaLos AngelesCA 90095USA Department of Physics and AstronomyUniversity of ToledoToledoOH 43606USA Department of Physics and AstronomyUniversity of CaliforniaLos AngelesCA 90095USA Yale School of MedicineNew HavenCT 06510USA Department of BiochemistryUniversity of CaliforniaLos AngelesCA 90095USA Department of Pathology and Laboratory MedicineUniversity of CaliforniaLos AngelesCA 90095USA Department of Mechanical and Aerospace EngineeringUniversity of CaliforniaLos AngelesCA 90095USA Jonsson Comprehensive Cancer CenterUniversity of CaliforniaLos AngelesCA 90095USA Department of SurgeryDavid Geffen School of MedicineUniversity of CaliforniaLos AngelesCA 90095USA 

出 版 物：《Light(Science & Applications)》 (光（科学与应用)（英文版）)

年 卷 期：2019年第8卷第1期

页      面：385-399页

核心收录：

学科分类：0808[工学-电气工程] 1002[医学-临床医学] 0809[工学-电子科学与技术（可授工学、理学学位）] 0805[工学-材料科学与工程（可授工学、理学学位）] 100214[医学-肿瘤学] 0702[理学-物理学] 10[医学] 

基　　金：the support of the KocGroup,NSF Engineering Research Center(ERC,PATHS-UP) the Army Research Office(ARO W911NF-13-1-0419 and W911NF-13-1-0197) the ARO Life Sciences Division,the National Science Foundation(NSF)CBET Division Biophotonics Program the NSF INSPIRE Award,NSF Partnerships for Innovation:Building Innovation Capacity(PFI:BIC)Program the National Institutes of Health(NIH,R21EB023115) the Howard Hughes Medical Institute(HHMI) the Vodafone Americas Foundation the Mary Kay Foundation the Steven&Alexandra Cohen Foundation 

主　　题：rare magnetic speckle 

摘      要：Detecting rare cells within blood has numerous applications in disease *** rare cell detection techniques are typically hindered by their high cost and low ***,we present a computational cytometer based on magnetically modulated lensless speckle imaging,which introduces oscillatory motion to the magneticbead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three dimensions(3D).In addition to using cell-specific antibodies to magnetically label target cells,detection specificity is further enhanced through a deep-learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network(P3D CNN),which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic *** demonstrate the performance of this technique,we built a high-throughput,compact and cost-effective prototype for detecting MCF7 cancer cells spiked in whole blood *** serial dilution experiments,we quantified the limit of detection(LoD)as 10 cells per millilitre of whole blood,which could be further improved through multiplexing parallel imaging channels within the same *** compact,cost-effective and high-throughput computational cytometer can potentially be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.