A workflow to process 3D+time microscopy images of developing organisms and reconstruct their cell lineage
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2545
- Type
- D - Journal article
- DOI
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10.1038/ncomms9674
- Title of journal
- Nature Communications
- Article number
- 8674
- First page
- -
- Volume
- 7
- Issue
- 1
- ISSN
- 2041-1723
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
30
- Research group(s)
-
C - Machine Intelligence
- Citation count
- 43
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a unique set of tools for in silico experimental embryology that have outperformed the current state-of-the-art for the in vivo processing of 3D+time image data of living systems. The research has received a lot of academic attention (it has 120 readers on Mendeley and is in the top 25% of all outputs scored by Altmetric) and it has been referenced in the development of tools for Interrogating and Defining Cellular Identity (e.g. 10.1016/j.stem.2020.03.015), and for the detection of nuclei (10.1371/journal.pbio.3000388).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -