基于碎形的偏差校正的全场OCT
Yue Zhu1, Yuan Zhou2, Zhenyan Guo1
1Department of Optical Engineering, Nanjing University of Science and Technology, 200 Xiao Ling Wei, Nanjing, 210094, China.
Biomedical optics express
|July 27, 2023
概括
一种新的基于碎形的方法使用科尔摩戈罗夫流模型来纠正全场OCT (FF-OCT) 图像中的深度分辨率偏差. 这种技术增强了在亚细胞分辨率下对生物组织动态的成像,为新陈代谢研究提供了无标签的工具.
科学领域:
- 生物物理学的生物物理.
- 光学成像技术的成像
- 计算生物学 计算生物学
背景情况:
- 生物组织表现出复杂的折射率在同质性.
- 深度分辨率偏差限制了光学连贯性断层扫描 (OCT) 数据的分辨率和定量分析.
- 全场OCT (FF-OCT) 提供高速体积成像,但容易产生偏差.
研究的目的:
- 验证科尔莫戈罗夫流模型作为生物组织的定量光散射模型.
- 提出和评估一个基于碎形的计算方法来纠正体积FF-OCT的深度解析偏差.
- 为了提高FF-OCT成像对动态生物过程的时间对比度和亚细胞分辨率.
主要方法:
- 用FF-OCT对生物组织中的3D光散射进行验证的科尔摩戈罗夫流模型.
- 开发了一种基于碎形的计算补偿方法,用于深度解析偏差校正.
- 从指数在同质性的功率光谱密度来量化组织碎形维度.
- 应用碎形分析作为对偏差校正的图像质量指标.
主要成果:
- 基于碎形的分析成功地纠正了FF-OCT图像中的深度分辨率偏差.
- 增强的时间对比揭示了在线粒分裂期间洋细胞和ex vivo小鼠心脏组织中的亚细胞动力学.
- 实现了细胞壁和微活动的亚细胞分辨率成像.
- 在心脏组织中确定了低频室和高频肌肉纤维.
结论:
- 深度解析的碎形参数作为对失焦偏差补偿的定量指标.
- 在FF-OCT中基于碎形的对比度增强提供了一个无标签的,非侵入性的3D成像工具.
- 这种方法有可能在新陈代谢研究中研究亚细胞活动.
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