Chai, Binghao;
Efstathiou, Christoforos;
Yue, Haoran;
Draviam, Viji M;
(2023)
Opportunities and challenges for deep learning in cell dynamics research.
Trends in Cell Biology
10.1016/j.tcb.2023.10.010.
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Abstract
The growth of artificial intelligence (AI) has led to an increase in the adoption of computer vision and deep learning (DL) techniques for the evaluation of microscopy images and movies. This adoption has not only addressed hurdles in quantitative analysis of dynamic cell biological processes but has also started to support advances in drug development, precision medicine, and genome–phenome mapping. We survey existing AI-based techniques and tools, as well as open-source datasets, with a specific focus on the computational tasks of segmentation, classification, and tracking of cellular and subcellular structures and dynamics. We summarise long-standing challenges in microscopy video analysis from a computational perspective and review emerging research frontiers and innovative applications for DL-guided automation in cell dynamics research.
| Type: | Article |
|---|---|
| Title: | Opportunities and challenges for deep learning in cell dynamics research |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.tcb.2023.10.010 |
| Publisher version: | http://dx.doi.org/10.1016/j.tcb.2023.10.010 |
| Language: | English |
| Additional information: | © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | DL tools for organelle detection, neural networks for microscopy analysis, open-source image analysis tools and datasets, subcellular tracking challenges |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute > Research Department of Pathology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10196812 |
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