深度学习辅助的低成本自光显微镜用于快速无幻灯片成像,使用虚拟组织学染色
Ivy H M Wong1, Zhenghui Chen1, Lulin Shi1
1Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Biomedical optics express
|April 18, 2024
概括
我们开发了一种使用低成本发光二极管 (LED) 的增强宽场显微镜 (EW-LED) 技术,以实现高分辨率的虚拟组织学. 与现有方法相比,这种具有成本效益的方法显著减少了成像和计算时间.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 计算病理学计算病理学
- 显微镜技术 显微镜技术
背景情况:
- 无幻灯片成像为组织学工作流提供了显著的改进.
- 现有的高通量方法,如CHAMP显微镜,提供高分辨率,但由于专门的激光器,成本高昂.
- 在组织学中需要具有成本效益和高性能的成像解决方案.
研究的目的:
- 开发一个深度学习辅助的增强宽场显微镜 (EW-LED) 框架.
- 为了实现与CHAMP显微镜相提并论的高分辨率虚拟组织学.
- 为了减少与先进的组织学成像相关的成本和时间.
主要方法:
- 使用廉价的发光二极管 (LED) 作为照明源.
- 开发了一个深度学习模型来增强广场图像,针对CHAMP显微镜输出.
- 实施了一种增强的宽场显微镜 (EW-LED) 系统.
主要成果:
- EW-LED取得了与CHAMP显微镜相似的结果.
- 与CHAMP相比,EW-LED系统的成本降低了85倍.
- 图像采集和计算时间分别减少了36×和17×.
结论:
- 对于虚拟组织学来说,EW-LED提供了一个非常具有成本效益和高效的解决方案.
- 深度学习框架增强了广场显微镜,以改善组织学分析.
- 这种方法在各种成像模式中具有潜在的应用,用于增强虚拟组织学.
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