THE METHOD OF PROCESSING DIGITAL PCR IMAGES BASED ON MASK R-CNN MODEL FOR ISMM 2019

来源 :中国化学会第十二届全国微全分析系统学术会议、第七届全国微纳尺度生物分离分析学术会议、第七届国际微流控学学术论坛 | 被引量 : 0次 | 上传用户:Happyboy123456
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  INTRODUCTION Digital polymerase chain reaction(dPCR)using fluorescence images for collecting quantitative information needs efficient software tools to automate the image analysis process.However,due to the broad range of dPCR fluorescence image characteristics,such as uneven fluorescence intensity distribution,irregular structure of microarray,existing tools failed to extract signals from dPCR images properly which hindering the full exportation of dPCR technologys precision.In this paper,a deep learning method was used for image processing to achieve more accurate quantification of nucleic acids in both microarray and droplet dPCR.
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