Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy.

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第一作者： Nicholas J,Schaub

第一单位： Materials Measurement Laboratory, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.

作者： Nicholas J,Schaub ^[1] ; Nathan A,Hotaling ^[2] ; Petre,Manescu ^[3] ; Sarala,Padi ^[4] ; Qin,Wan ^[4] ; Ruchi,Sharma ^[3] ; Aman,George ^[3] ; Joe,Chalfoun ^[3] ; Mylene,Simon ^[4] ; Mohamed,Ouladi ^[4] ; Carl G,Simon ^[4] ; Peter,Bajcsy ^[1] ; Kapil,Bharti ^[4]

作者单位： Materials Measurement Laboratory, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA. ^[1] Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA. ^[2] Ocular and Stem Cell Translational Research Section, National Eye Institute, NIH, Bethesda, Maryland, USA. ^[3] Information Technology Laboratory, Information Systems Group, National Institute of Standards and Technology, Gaithersburg, Maryland, USA. ^[4]

关键词 Ophthalmology Stem cell transplantation

主题词细胞分化(Cell Differentiation);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);诱导多能干细胞(Induced Pluripotent Stem Cells);显微镜检查(Microscopy);视网膜色素上皮(Retinal Pigment Epithelium)

DOI 10.1172/JCI131187

PMID 31714897

发布时间 2020-09-15

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准确一般字义偏差语意偏离译文作用小提交