多尺度无标签人脑成像与集成序列分割极化灵敏光学连贯断层扫描和双光子显微镜
Shuaibin Chang1, Jiarui Yang2, Anna Novoseltseva2
1Department of Electrical and Computer Engineering, Boston University, 8 St Mary's St, Boston 02215, USA.
bioRxiv : the preprint server for biology
|June 9, 2023
概括
这项研究引入了集成的极化敏感光学连贯断层扫描 (PSOCT) 和两光子显微镜 (2PM) 进行无标签的人类大脑成像. 这种技术使得无变形体积重建能够用于研究神经退行性疾病.
科学领域:
- 神经科学是一个神经科学.
- 生物医学成像技术 生物医学成像技术
- 历史学 历史学 历史学
背景情况:
- 研究神经退行性疾病需要对人类大脑细胞架构,髓和血管系统进行详细分析.
- 标准组织学处理导致组织扭曲,阻碍了准确的体积重建.
- 需要一个多尺度,体积成像技术完整的大脑结构是必要的.
研究的目的:
- 开发一种集成的,无标签的,多尺度的成像技术,用于全面分析人类大脑.
- 克服传统组织学方法中组织扭曲的局限性,以实现无变形的重建.
- 在神经退行症的背景下,使细胞架构,骨髓架构和血管结构的详细研究成为可能.
主要方法:
- 集成的串行切割与极化敏感光学一致性断层扫描 (PSOCT) 和两个光子显微镜 (2PM).
- 无标签的多对比成像,捕捉散射,双折射和自发光.
- 4x4x2cm3样本块的高通量重建与简单的图像注册.
主要成果:
- 实现了髓含量,血管结构和细胞信息的综合分析.
- 展示了2μm内平面分辨率的2PM图像,验证和丰富PSOCT光学属性图.
- 透露了详细的毛细血管网络和在皮质层中填充脂素的细胞体.
结论:
- 这项技术使人类大脑组织的无变形体积重建成为可能.
- 它适用于研究阿尔茨海默病和CTE中的脱髓化,细胞损失和微血管变化.
- 该方法通过提供全面的结构和细胞信息来推进神经退行过程的研究.
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