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Metadata
| Item Type: | Preprint |
|---|---|
| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2023 The Author(s). This preprint is made available under a Creative Commons Attribution NonCommercial International Licence 4.0. (http://creativecommons.org/licenses/by-nc/4.0/) |
| Keywords: | Information and Computing Sciences; Engineering; Software Engineering; Networking and Information Technology R&D (NITRD); Bioengineering; Generic health relevance |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield) |
| Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/M027430/1 BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL BB/R018383/1 |
| Depositing User: | Symplectic Sheffield |
| Date Deposited: | 29 Feb 2024 15:25 |
| Last Modified: | 29 Feb 2024 15:25 |
| Status: | Submitted |
| Publisher: | Cold Spring Harbor Laboratory |
| Identification Number: | 10.1101/2021.11.26.470050 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209728 |
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- Tracking bacteria at high density with FAST, the Feature-Assisted Segmenter/Tracker. (deposited 29 Feb 2024 15:25) [Currently Displayed]
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Filename: 2021.11.26.470050v4.full.pdf
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