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

dc.contributer.affiliation Istanbul Technical University
dc.contributer.affiliation Izmir Institute of Technology
dc.contributer.affiliation Izmir Democracy University
dc.contributer.affiliation Epam Systems
dc.contributor.author Töreyin, Behçet Uğur
dc.contributor.author Iheme, Leonardo O.
dc.contributor.author Önal, Sevgi
dc.contributor.author Erdem, Yusuf S.
dc.contributor.author Uçar, Mahmut
dc.contributor.author Yalçın Özuysal, Özden
dc.contributor.author Okvur Pesen, Devrim
dc.contributor.author Öney, Devrim
dc.contributor.department Yapay Zeka ve Veri Mühendisliği
dc.date.accessioned 2024-11-11T12:59:17Z
dc.date.available 2024-11-11T12:59:17Z
dc.date.issued 2024-10-16
dc.description.abstract 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 RAW 264.7 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 reliability and utility of our datasets. WHAD and CAMAD enable researchers to develop robust algorithms for cell tracking, segmentation, and behavior analysis in phase-contrast microscopy images. The applications of these datasets span cancer research, image processing technique development, and automated analysis of wound healing and cell motility assays.
dc.identifier.doi 10.1109/IEEEDATA.2024.3481394
dc.identifier.uri http://hdl.handle.net/11527/25608
dc.identifier.uri http://ekler.kutuphane.itu.edu.tr/polen/toreyin/camad.zip
dc.identifier.uri https://ekler.kutuphane.itu.edu.tr/polen/toreyin/whadparts/wnew.zip
dc.identifier.uri https://ekler.kutuphane.itu.edu.tr/polen/toreyin/whadparts/wnew.z01
dc.identifier.uri https://ekler.kutuphane.itu.edu.tr/polen/toreyin/whadparts/wnew.z02
dc.identifier.uri https://ekler.kutuphane.itu.edu.tr/polen/toreyin/whadparts/wnew.z03
dc.identifier.uri https://ekler.kutuphane.itu.edu.tr/polen/toreyin/whadparts/wnew.z04
dc.identifier.uri https://ekler.kutuphane.itu.edu.tr/polen/toreyin/whadparts/wnew.z05
dc.identifier.uri 10.1109/IEEEDATA.2024.3481394
dc.language.iso en_US
dc.publisher IEEE Xplore
dc.sdg.type Goal 9: Industry, Innovation and Infrastructure
dc.subject Wounds
dc.subject Microscopy
dc.subject Substrates
dc.subject Image
dc.subject Segmentation
dc.subject Biomedical imaging
dc.subject Cell motility
dc.title Collection: Wound Healing Assay Dataset (WHAD) and Cell Adhesion and Motility Assay Dataset (CAMAD)
dc.type Dataset
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