Yi-Jiun Chen
University of Pittsburgh
5 Papers
Yi-Jiun Chen is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Computer science & Live cell imaging. The author has an hindex of 4, co-authored 5 publications.
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Papers
Learn to segment single cells with deep distance estimator and deep cell detector.
Weikang Wang,David A. Taft,Yi-Jiun Chen,Jingyu Zhang,Callen T. Wallace,Min Xu,Simon C. Watkins,Jianhua Xing +7 more
TL;DR: A strategy that combines strengths of CNN and traditional watershed algorithm is developed that achieved significantly higher cell count accuracy than the pixel-wise classification algorithm did, with the latter performing poorly when separating connected cells, especially those connected by blurry boundaries.
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M-TRACK: a platform for live cell multiplex imaging reveals cell phenotypic transition dynamics inherently missing in snapshot data
Weikang Wang,Diana Douglas,Jingyu Zhang,Yi-Jiun Chen,Ya Yun Cheng,Sangeeta Kumari,Metewo S. Enuameh,Yan Dai,Callen T. Wallace,Simon C. Watkins,Weiguo Shu,Jianhua Xing +11 more
TL;DR: A live-cell imaging platform, Multiplex Trajectory Recording and Analysis of Cellular Kinetics, or M-TRACK, that tracks cellular status change through combining endogenous fluorescent labeling that minimizes perturbation to cell physiology and live cell imaging of high-dimensional cell morphological and texture features is presented.
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•Posted Content
Learn to segment single cells with deep distance estimator and deep cell detector
Weikang Wang,David A. Taft,Yi-Jiun Chen,Jingyu Zhang,Callen T. Wallace,Min Xu,Simon C. Watkins,Jianhua Xing +7 more
TL;DR: Wang et al. as mentioned in this paper proposed a different learning strategy that combines strengths of CNN and watershed algorithm, which achieves similar pixel accuracy but significant higher cell count accuracy than pixel-wise classification methods do, and the advantage is most obvious when applying on noisy images of densely packed cells.
4
Stem cell-free therapy for glaucoma to preserve vision
Ajay Kumar,Siqi Xiong,Zhou M,William C.W. Chen,Enzhi Yang,Price A,Le L,Ying Zhang,Laurence Florens,Michael P. Washburn,Yuanning Li,Xu Y,Kira L. Lathrop,Katherine Davoli,Yi-Jiun Chen,Joel S. Schuman,Ting Xie,Yiqin Du +17 more
TL;DR: In this paper, a stem cell secretome derived from human trabecular meshwork (TM) stem cells via minimal invasive periocular injection was used to reduce intraocular pressure, restore TM homeostasis, protect RGC, and restore RGC function in both steroid-induced and genetic myocilin mutant mouse models of glaucoma.
Live cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data
Weikang Wang,Diana Douglas,Jingyu Zhang,Yi-Jiun Chen,Ya Yun Cheng,Sangeeta Kumari,Metewo S. Enuameh,Yan Dai,Callen T. Wallace,Simon C. Watkins,Weiguo Shu,Jianhua Xing +11 more
TL;DR: A live-cell imaging platform that tracks cellular status change through combining endogenous fluorescent labeling that minimizes perturbation to cell physiology, and/or live cell imaging of high-dimensional cell morphological and texture features and the necessity of extracting dynamical information of phenotypic transitions from multiplex live cell Imaging is developed.