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Dai Fei Elmer Ker

Researcher at The Chinese University of Hong Kong

Publications -  33
Citations -  545

Dai Fei Elmer Ker is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Medicine & Extracellular matrix. The author has an hindex of 11, co-authored 25 publications receiving 380 citations. Previous affiliations of Dai Fei Elmer Ker include Carnegie Mellon University & Stanford University.

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Journal ArticleDOI

Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images

TL;DR: This paper proposes an effective approach for automated mitosis detection using phase-contrast time-lapse microscopy, which is a nondestructive imaging modality, thereby allowing continuous monitoring of cells in culture.
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Calvarial Versus Long Bone: Implications for Tailoring Skeletal Tissue Engineering.

TL;DR: In this paper, the authors discuss aspects of development, healing process, structure, and tissue engineering considerations between calvarial and long bones to assist in designing the tailored bone repair strategies, and propose that tailored tissue engineering strategies, such as scaffold features, growth factor usage, and the source of cells for tissue or region-specific bone repair, are necessary to ensure an optimized healing outcome.
Journal ArticleDOI

Functionally Graded, Bone- and Tendon-Like Polyurethane for Rotator Cuff Repair.

TL;DR: UV‐crosslinkable polyurethane based on quadrol, hexamethylene diisocyante, and methacrylic anhydride, which is free of solvent, catalyst, and photoinitiator, is developed and demonstrates functionally graded, bone‐tendon‐like biomaterials for interfacial tissue engineering.
Journal ArticleDOI

Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations.

TL;DR: 48 time-lapse image sequences were generated with accompanying ground truths for C2C12 myoblast cells cultured under 4 different media conditions, including with fibroblast growth factor 2 (FGF2), bone morphogenetic protein 2 (BMP2), FGF2, BMP2, and control, providing an invaluable opportunity to deepen the understanding of individual and population-based cell dynamics for biomedical research.
Book ChapterDOI

Apoptosis detection for adherent cell populations in time-lapse phase-contrast microscopy images

TL;DR: An image analysis method to detect apoptosis in time-lapse phase-contrast microscopy, which is nondestructive imaging and achieved around 90% accuracy in terms of average precision and recall.