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深度学习可以从相对照显微镜图像中预测人体介质干细胞的骨质分化阶段

Mizuho Sano1, Yuichi Mine1,2, Shota Okazaki1,2

  • 1Department of Medical Systems Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University.

Dental materials journal
|September 3, 2025
PubMed
概括

深度学习模型可以仅使用显微镜图像预测介质干细胞 (MSC) 的骨质分化阶段. 这种非侵入性方法显示出监测细胞发育的潜力.

关键词:
人工智能骨再生深度学习中间细胞干细胞显微镜图像

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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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