Protocol for AI-assisted quantitative analysis and setup of tumor spheroid invasion into tissue

Recent work has revealed an active mechanical role for the tissue barrier in collective invasion, offering a new perspective on tissue invasion and morphogenesis. Here, we present a protocol for AI-assisted quantitative analysis and setup of tumor spheroid invasion into mesothelial tissue. We describe steps for co-culture setup, time-lapse imaging, AI training, and segmentation. We then detail procedures for cell tracking and quantitative analysis to study the fracturing process of the mesothelium. For complete details on the use and execution of this protocol, please refer to Wu et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-10-11
DOI
https://doi.org/10.1016/j.xpro.2025.104140
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08
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article

Protocol for AI-assisted quantitative analysis and setup of tumor spheroid invasion into tissue

Jennifer L. Young, Shu Chian Tay, Selwin K. Wu, Ivan Yow et al.
3 citations
STAR Protocols
Radiomics and Machine Learning in Medical Imaging
4.08
article

Protocol for AI-assisted quantitative analysis and setup of tumor spheroid invasion into tissue

Jennifer L. Young, Shu Chian Tay, Selwin K. Wu, Ivan Yow, Boon Chuan Low, K. Lee, Phoebe Lim, Christina Bao-Xian Huang, Eileen Poon, Celestine Z. Ho, Daniella B Lawther, Sriram Bharathkumar, Shi Wei Beh, Carla Felisha
article en
3 citations

Abstract

Recent work has revealed an active mechanical role for the tissue barrier in collective invasion, offering a new perspective on tissue invasion and morphogenesis. Here, we present a protocol for AI-assisted quantitative analysis and setup of tumor spheroid invasion into mesothelial tissue. We describe steps for co-culture setup, time-lapse imaging, AI training, and segmentation. We then detail procedures for cell tracking and quantitative analysis to study the fracturing process of the mesothelium. For complete details on the use and execution of this protocol, please refer to Wu et al.<sup>1</sup>.

STAR ProtocolsVol. 6(4)
National University of Singapore (SG)
Openalex Percentile: Top 5%
Radiomics and Machine Learning in Medical Imaging
4.08
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