WHiM-BC Dataset: Evolution of CSCs and non CSCs MCF-7 Migration in Wound Healing Assay

Résumé

The WHiM-BC Dataset has been utilized to train Deep Learning models for the prediction of migration capabilities of MCF-7 cells, facilitated by the Predicting Wound Healing Progress Framework (PWPF). The software can be accessed on GitHub: https://github.com/frangam/wound-healing. Or you can download from Zenodo: https://doi.org/10.5281/zenodo.8130984 The dataset comprises two distinct parts: MCF-7 Monolayer Cells: This part includes photographs of 12 different wells taken at 0h, 3h, 6h, 9h, 12h, 24h, and 27h, marking the final time of wound closure. MCF-7 Spheres: This portion of the dataset mirrors the first, with images of 12 wells captured at the following time intervals: 0h, 3h, 6h, 9h, 12h, and 15h, indicating the closure time. The dataset consists of a total of (127) for the MCF-7 Monolayer Cells and (126) for the MCF-7 Spheres, amounting to a sum of photographs from both parts.   If you utilize this tool in your research, please acknowledge it by citing the following reference: @article{Garcia-Moreno-PWPF,  title={Using Deep Learning for Predicting the Dynamic Evolution of Breast Cancer Migration},  author={Garcia-Moreno, Francisco Manuel and Ruiz-Espigares, Jesus and Marchal, Juan Antonio and Gutierrez-Naranjo, Miguel Angel},  year={2024},  journal={Computers in Biology and Medicine},  doi={10.1016/j.compbiomed.2024.108890},  note={\url{https://authors.elsevier.com/tracking/article/details.do?aid=108890&jid=CBM&surname=Garcia-Moreno}}} And also cite our MCF-7 Dataset used to train our software: @misc{WHiM-BC_Dataset,  title={WHiM-BC Dataset: Evolution of CSCs and non CSCs MCF-7 Migration in Wound Healing Assay},  author={Garcia-Moreno, Francisco Manuel and Ruiz-Espigares, Jesus and Marchal, Juan Antonio and Gutiérrez-Naranjo, Miguel Ángel},  year={2023},  doi={10.5281/zenodo.8131123},  url={https://doi.org/10.5281/zenodo.8131123},  note = {version 1.0}}