通过高空间频率结构化照明进行深度分辨率宏观光寿命成像
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Updated: Sep 15, 2025

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Fluorescence Lifetime Macro Imager for Biomedical Applications
Published on: April 7, 2023
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Nanxue Yuan1, Saif Ragab1, Navid Nizam1
1Center for modeling, simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.
bioRxiv : the preprint server for biology
|July 15, 2025
概括
一种新的高空间频率光终身成像 (HSF-FLI) 方法可以准确地区分深层组织光和表面信号. 这一进步提高了生物学解释的清晰度,并支持翻译研究应用.
科学领域:
- 生物光学和成像科学 生物光学和成像科学
- 光学物理学的光学物理学
- 临床前研究 临床前研究
背景情况:
- 宏观光终身成像 (MFLI) 提供强大的对比度,但难以深度定位.
- 表面信号偏差,特别是来自皮肤,使MFLI的生物解释复杂化.
- 准确的深度测定对于在翻译研究中推进MFLI至关重要.
研究的目的:
- 建立一个高空间频率光终身成像 (HSF-FLI) 框架.
- 选择性地将地下光与表面光隔离起来.
- 为了保持深度分辨率成像中寿命估计的准确性.
主要方法:
- 开发了一个调制传输函数 (MTF),将空间频率与透深度联系起来.
- 利用蒙特卡罗极端 (MCX) 模拟进行基于物理的建模.
- 采用结构化的三相侧面照明和非线性最小正方形配件.
- 使用小鼠模型在体内验证,并与体外测量进行交叉验证.
主要成果:
- HSF-FLI成功地从表面信号中分离了地下光.
- 通过深度选择性保持精确的寿命估计.
- 在小鼠模型中证明了药物输送评估的体内实用性.
- 在临床前模型中使用MFLI-FRET验证.
结论:
- 在没有化学清除的情况下,HSF-FLI有效地消除了表面信号偏差.
- 将结构化照明与基于物理的深度建模相结合,可以获得准确的深度选择性寿命读数.
- 这种方法可以为转化研究提供强大而快速的光终身成像.
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