AI-assisted cell identification and optical sorting[Invited]  被引量:1

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作  者:邓如平 宋原 杨嘉豪 闵长俊 张聿全 袁小聪 刘伟伟 Ruping Deng;Yuan Song;Jiahao Yang;Changjun Min;Yuquan Zhang;Xiaocong Yuan;Weiwei Liu(Institute of Modern Optics,Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology,Nankai University,Tianjin 300350,China;Nanophotonics Research Centre,Institute of Microscale Optoelectronics&State Key Laboratory of Radio Frequency Heterogeneous Integration,Shenzhen University,Shenzhen 518060,China)

机构地区:[1]Institute of Modern Optics,Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology,Nankai University,Tianjin 300350,China [2]Nanophotonics Research Centre,Institute of Microscale Optoelectronics&State Key Laboratory of Radio Frequency Heterogeneous Integration,Shenzhen University,Shenzhen 518060,China

出  处:《Chinese Optics Letters》2023年第11期81-85,共5页中国光学快报(英文版)

基  金:supported by the National Natural Science Foundation of China(Nos.61975128,62175157,92150301,and 62375177);the Shenzhen Science and Technology Program(Nos.JCYJ20210324120403011 and RCJC20210609103232046);the Guangdong Major Project of Basic and Applied Basic Research(No.2020B0301030009)。

摘  要:Cell identification and sorting have been hot topics recently.However,most conventional approaches can only predict the category of a single target,and lack the ability to perform multitarget tasks to provide coordinate information of the targets.This limits the development of high-throughput cell screening technologies.Fortunately,artificial intelligence(AI)systems based on deep-learning algorithms provide the possibility to extract hidden features of cells from original image information.Here,we demonstrate an AI-assisted multitarget processing system for cell identification and sorting.With this system,each target cell can be swiftly and accurately identified in a mixture by extracting cell morphological features,whereafter accurate cell sorting is achieved through noninvasive manipulation by optical tweezers.The AI-assisted model shows promise in guiding the precise manipulation and intelligent detection of high-flux cells,thereby realizing semiautomatic cell research.

关 键 词:AI algorithm cell identification and sorting optical tweezers microfluidic chip 

分 类 号:R318[医药卫生—生物医学工程] TP18[医药卫生—基础医学]

 

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