计算显微镜用于快速的广场深层组织光成像,使用商用双管探头
Ekata Mitra1, Ruipeng Guo1, Soren Nelson2
1Department of Electrical & Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.
概括
本研究介绍了一种微内镜,使用固体玻璃管和深度神经网络进行深层组织光成像. 该系统将视野加倍,使得快速,广场成像无需扫描.
科学领域:
- 生物医学光学 生物医学光学
- 神经成像是一种神经成像.
- 显微镜的使用方法
背景情况:
- 传统的微内镜在视野和成像深度方面存在局限性.
- 深度神经网络提供了从光学信号进行高级图像重建的潜力.
研究的目的:
- 开发一种能够使用扩展视野进行深层组织光成像的微内镜系统.
- 利用深度学习来从收集的光数据中重建图像.
主要方法:
- 使用固体玻璃管作为微内镜进行光输送和光收集.
- 使用深度神经网络从强度分布进行图像重建.
- 使用双通道探头和单独的神经网络来加倍视野.
主要成果:
- 证明了光珠和脑部切片的体外成像.
- 从整个大脑中实现了体内成像,清晰分辨率为4微米的珠子.
- 从大约1.2毫米深度的全脑组织中获得的图像.
- 实现了0.2毫米 (直径) 的视野.
结论:
- 开发的微内镜系统有效地扩大了深层组织光成像的视野.
- 基于深度神经网络的图像重建可以在不需要扫描的情况下进行高分辨率成像.
- 该系统显示出在生物组织中快速,广场光成像的前景.
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