An intensity-based post-processing tool for 3D instance segmentation of organelles in soft X-ray tomograms.
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| Title: | An intensity-based post-processing tool for 3D instance segmentation of organelles in soft X-ray tomograms. |
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| Authors: | Li A; iHuman Institute, ShanghaiTech University, Shanghai, China.; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China., Zhang S; iHuman Institute, ShanghaiTech University, Shanghai, China.; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China., Loconte V; iHuman Institute, ShanghaiTech University, Shanghai, China.; School of Life Science and Technology, ShanghaiTech University, Shanghai, China., Liu Y; iHuman Institute, ShanghaiTech University, Shanghai, China.; School of Life Science and Technology, ShanghaiTech University, Shanghai, China., Ekman A; Department of Anatomy, University of California San Francisco, San Francisco, CA, United States of America.; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America., Thompson GJ; iHuman Institute, ShanghaiTech University, Shanghai, China., Sali A; California Institute for Quantitative Biosciences, Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, United States of America., Stevens RC; iHuman Institute, ShanghaiTech University, Shanghai, China.; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.; Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, CA, United States of America.; Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA, United States of America., White K; Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA, United States of America., Singla J; Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India., Sun L; iHuman Institute, ShanghaiTech University, Shanghai, China.; School of Life Science and Technology, ShanghaiTech University, Shanghai, China. |
| Source: | PloS one [PLoS One] 2022 Sep 01; Vol. 17 (9), pp. e0269887. Date of Electronic Publication: 2022 Sep 01 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0269887 |
