Published: Yang Jiao, Mei Yang, and Mo Weng

Yang Jiao (Electrical and Computer Engineering) recently presented a paper at Computer Vision and Pattern Recognition 2019 about object tracking in 3D fluorescence volumes. The paper is based on work done by Jiao in collaboration with Mei Yang (Electrical and Computer Engineering) and Mo Weng (Life Science). This work targets the challenge of 3D subcellular structures tracking because, unlike cells and macro objects, 3D subcellular structures perform rapidly expansion and shrinking as well as split and merge. Jiao is pursuing a Ph.D. in Electrical and Computer Engineering. Mei Yang is his advisor.

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