Wound Healing Assay Dataset (WHAD) and Cell Adhesion and Motility Assay Dataset (CAMAD)

Citation Author(s):
Leonardo Obinna
Iheme
Epam Systems
Sevgi
Onal
Yusuf Erdem
Erdem
Mahmut
Ucar
Ozden
Yalcin-Ozuysal
Devrim
Pesen-Okvur
Behcet Ugur
Toreyin
Devrim
Unay
Submitted by:
Leonardo Iheme
Last updated:
Sun, 09/29/2024 - 20:01
DOI:
10.21227/f77j-j355
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Abstract 

We introduce two novel datasets for cell motility and wound healing research: the Wound Healing Assay Dataset (WHAD) and the Cell Adhesion and Motility Assay Dataset (CAMAD). WHAD comprises time-lapse phase-contrast images of wound healing assays using genetically modified MCF10A and MCF7 cells, while CAMAD includes MDA-MB-231 and RAW264.7 cells cultured on various substrates. These datasets offer diverse experimental conditions, comprehensive annotations, and high-quality imaging data, addressing gaps in existing resources. The collection methods, experimental designs, and annotation processes are detailed, emphasizing the datasets' reliability and utility. WHAD and CAMAD enable researchers to develop robust algorithms for cell tracking, segmentation, and behavior analysis in phase-contrast microscopy images. The datasets' applications span cancer research, image processing technique development, and automated analysis of wound healing and cell motility assays. By providing these resources, we aim to accelerate progress in biomedical image analysis and cell biology research.

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