An objective comparison of cell-tracking algorithms
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 787
- Type
- D - Journal article
- DOI
-
10.1038/nmeth.4473
- Title of journal
- Nature Methods
- Article number
- -
- First page
- 1141
- Volume
- 14
- Issue
- 12
- ISSN
- 1548-7091
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://static-content.springer.com/esm/art%3A10.1038%2Fnmeth.4473/MediaObjects/41592_2017_BFnmeth4473_MOESM1_ESM.pdf
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
38
- Research group(s)
-
-
- Citation count
- 117
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A comprehensive effort to compare the large number of tracking algorithms, for biological datasets, was objectively and rigorously undertaken. Work in this output arose from a challenge in the prestigious IEEE International Symposium in Biomedical Imaging 2015 in which 13 datasets were open to the international community. 21 teams participated, including City, University of London. The comparison was then published in the prestigious journal Nature Methods (IF 28.46) which has been widely cited, including US Patent US10733419B2. The algorithm submitted by Reyes-Aldasoro is based on his previous papers (Henry 2015, PLoS ONE, Reyes-Aldasoro 2008, Journal Microscopy).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
