用标准光学显微镜对生物体进行高分辨率体积成像和分类
Yaoran Liu1, Rohit Unni2,3, Xin Lou4,5
1Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Nano letters
|May 30, 2023
概括
这项研究引入了一种新的光热旋转技术,用于使用标准显微镜进行高分辨率的3D成像和生物的分类. 这种方法提高了生物细胞分类的准确性,使用更少的培训样本.
科学领域:
- 生物物理学的生物物理.
- 光学成像技术的成像
- 机器学习 机器学习
背景情况:
- 三维 (3D) 特性对于理解细胞表型,结构组织和机械传导至关重要.
- 目前的3D光学成像方法,如焦点堆叠,受到有限的轴分辨率的影响.
- 复杂的多角度投影技术往往是繁的常规分析.
研究的目的:
- 开发一种使用标准光学显微镜对生物体进行高分辨率3D成像技术.
- 为了实现生物细胞的准确分类,特别是那些具有高度相似性的生物细胞.
- 创建适用于临床样本的3D成像的无接触,生物相容的方法.
主要方法:
- 在一个单一的平台上集成光学捕捉和光热旋转,以无地操纵生物.
- 使用标准光学显微镜进行3D成像,而无需复杂的多角度投影.
- 应用深度学习算法来根据3D成像数据对生物细胞进行分类.
主要成果:
- 实现了高分辨率的3D成像和生物的分类.
- 与传统方法相比,对类似的生物细胞的分类准确度 (96%与85%) 得到了改进.
- 为了深度学习分类,将所需的训练样本数量减少了十倍.
结论:
- 结合光学捕捉和光热旋转技术,为3D生物体的表征提供了一种强大的新方法.
- 该方法为高分辨率的3D成像和细胞分类提供了无接触,生物相容和高效的解决方案.
- 该平台显著提高了深度学习模型的性能,需要更少的训练数据来准确地识别生物细胞.
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