Weikang Wang
University of Pittsburgh
18 Papers
16 Citations
Weikang Wang 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 6, co-authored 16 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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Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data.
Weikang Wang,Diana Douglas,Jingyu Zhang,Sangeeta Kumari,Metewo S. Enuameh,Yan Dai,Callen T. Wallace,Simon C. Watkins,Weiguo Shu,Jianhua Xing +9 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-cells 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.
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Pathway crosstalk enables cells to interpret TGF-β duration
TL;DR: It is demonstrated that crosstalk among multiple TGF-β activated pathways forms a relay from SMAD to GLI1 that initializes and maintains SNAILl expression, respectively, which places SNAil1 as a key integrator of information from T GF-β signaling subsequently distributed through upstream divergent pathways.
Tuning cell motility via cell tension with a mechanochemical cell migration model
TL;DR: A mechanochemical cell migration model is constructed to study how cell migration is regulated by cell tension and predicts that cell tension not only inhibits cell movement under persistent external stimuli but also prompts cell migration under random internal noise when cell tension is low.
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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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