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Title: Label-free live cell recognition and tracking for biological discoveries and translational applications
Authors: Chen, B
Yin, Z
Ng, BWL
Wang, DM
Tuan, RS
Bise, R
Ker, DFE 
Issue Date: 7-Oct-2024
Source: International Journal of Contemporary Hospitality Management, 7 Oct. 2024, v. 2, 41
Abstract: Label-free, live cell recognition (i.e. instance segmentation) and tracking using computer vision-aided recognition can be a powerful tool that rapidly generates multi-modal readouts of cell populations at single cell resolution. However, this technology remains hindered by the lack of accurate, universal algorithms. This review presents related biological and computer vision concepts to bridge these disciplines, paving the way for broad applications in cell-based diagnostics, drug discovery, and biomanufacturing.
Publisher: Nature Publishing Group
Journal: npj imaging 
EISSN: 2948-197X
DOI: 10.1038/s44303-024-00046-y
Rights: © The Author(s) 2024
This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Chen, B., Yin, Z., Ng, B.WL. et al. Label-free live cell recognition and tracking for biological discoveries and translational applications. npj Imaging 2, 41 (2024) is available at https://doi.org/10.1038/s44303-024-00046-y.
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