%0 Journal Article %1 lee2023hybrid %A Lee, Moosung %A Kunzi, Marina %A Neurohr, Gabriel %A Lee, Sung Sik %A Park, Yongkeun %D 2023 %I Optica %J Biomedical optics express %K unibibliografie oa ubs_20014 ubs_10008 ubs_30138 wos %N 9 %P 4567-4578 %R 10.1364/BOE.498475 %T Hybrid machine-learning framework for volumetric segmentation and quantification of vacuoles in individual yeast cells using holotomography %V 14

@article{lee2023hybrid, added-at = {2024-08-29T16:17:24.000+0200}, affiliation = {Neurohr, G (Corresponding Author), Swiss Fed Inst Technol, Inst Biochem, Dept Biol, CH-8093 Zurich, Switzerland. Neurohr, G (Corresponding Author), Swiss Fed Inst Technol, Bringing Mat Life Initiat, Zurich, Switzerland. Lee, Moosung; Park, Yongkeun, Korea Adv Inst Sci & Technol KAIST, Dept Phys, Daejeon 34141, South Korea. Lee, Moosung; Park, Yongkeun, Korea Adv Inst Sci & Technol, KAIST Inst Hlth Sci & Technol, Daejeon 34141, South Korea. Lee, Moosung, Univ Stuttgart, Inst Funct Matter & Quantum Technol, D-70569 Stuttgart, Germany. Kunzi, Marina; Neurohr, Gabriel; Lee, Sung Sik, Swiss Fed Inst Technol, Inst Biochem, Dept Biol, CH-8093 Zurich, Switzerland. Kunzi, Marina; Neurohr, Gabriel; Lee, Sung Sik, Swiss Fed Inst Technol, Bringing Mat Life Initiat, Zurich, Switzerland. Lee, Sung Sik, Swiss Fed Inst Technol, ScopeM Sci Ctr Opt & Electron Microscopy, CH-8093 Zurich, Switzerland. Park, Yongkeun, Tomocube Inc, Daejeon 34051, South Korea.}, author = {Lee, Moosung and Kunzi, Marina and Neurohr, Gabriel and Lee, Sung Sik and Park, Yongkeun}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20287305c26f74d1399cd6803c83206dd/unibiblio}, doi = {10.1364/BOE.498475}, interhash = {8ee2d47ee0959e165aa2e1a191c39451}, intrahash = {0287305c26f74d1399cd6803c83206dd}, issn = {2156-7085}, journal = {Biomedical optics express}, keywords = {unibibliografie oa ubs_20014 ubs_10008 ubs_30138 wos}, language = {eng}, number = 9, orcid-numbers = {Lee, Sung Sik/0000-0001-9267-232X Park, YongKeun/0000-0003-0528-6661 Neurohr, Gabriel E/0000-0003-1728-5498}, pages = {4567-4578}, publisher = {Optica}, research-areas = {Biochemistry & Molecular Biology; Optics; Radiology, Nuclear Medicine & Medical Imaging}, researcherid-numbers = {Lee, Sung Sik/C-6438-2013 Park, YongKeun/B-9017-2009}, timestamp = {2024-12-10T15:07:33.000+0100}, title = {Hybrid machine-learning framework for volumetric segmentation and quantification of vacuoles in individual yeast cells using holotomography}, unique-id = {WOS:001176190100001}, volume = 14, year = 2023 }