New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using Daphnia Magna locomotory responses.
Saved in:
| Title: | New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using Daphnia Magna locomotory responses. |
|---|---|
| Authors: | Kim J; Department of Information and Statistics, Chungbuk National University, Cheongju-si, Chungbuk, 28644, Republic of Korea., Yuk H; Department of Information and Statistics, Chungbuk National University, Cheongju-si, Chungbuk, 28644, Republic of Korea., Choi B; Department of Environmental Science, Hankuk University of Foreign Studies, 81, Oe-daero, Mohyeon-myeon, Cheoin-gu, Yongin-si, Gyeonggi-do, 17035, South Korea., Yang M; R&D Lab, Centennial Technology, Co., Ansan-si, Gyeonggi-do, 15588, South Korea., Choi S; R&D Lab, Centennial Technology, Co., Ansan-si, Gyeonggi-do, 15588, South Korea., Lee KJ; Engineering Division, DongMoon ENT Co., Ltd., Seoul, 08377, Korea., Lee S; Department of Environmental Science, Hankuk University of Foreign Studies, 81, Oe-daero, Mohyeon-myeon, Cheoin-gu, Yongin-si, Gyeonggi-do, 17035, South Korea. sjlee80@hufs.ac.kr., Heo TY; Department of Information and Statistics, Chungbuk National University, Cheongju-si, Chungbuk, 28644, Republic of Korea. theo@cbnu.ac.kr. |
| Source: | Scientific reports [Sci Rep] 2023 Mar 02; Vol. 13 (1), pp. 3530. Date of Electronic Publication: 2023 Mar 02. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-023-27554-y |
