检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
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]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28