Open AccessU-Net-based deep learning for tracking and quantitative analysis of intracellular vesicles in time-lapse microscopy images
Author(s) -
Zhichao Liu,
Heng Zhang,
Luhong Jin,
Jincheng Chen,
A. Nedzved,
Sergey Ablameyko,
Qing Ma,
Jiahui Yu,
Yingke Xu
Publication year - 2022
Publication title -
journal of innovative optical health sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 24
eISSN - 1793-5458
pISSN - 1793-7205
DOI - 10.1142/s1793545822500316
Subject(s) - vesicle , tracking (education) , biological system , fluorescence microscope , computer science , microscopy , artificial intelligence , intracellular , biophysics , dynamics (music) , computer vision , chemistry , microbiology and biotechnology , biology , physics , fluorescence , optics , biochemistry , membrane , psychology , pedagogy , acoustics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom