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RSR-MSI:基于参考的超分辨率用于组织和单细胞的质谱成像

Yifan Fang¹, Cipeng Wu¹, Chentao Zhang¹

¹Pen-Tung Sah Institute of Micro-Nano Science & Technology, Xiamen University, Xiamen, Fujian 361005, China.

Analytical chemistry

|November 27, 2025

概括

我们开发了一种新的方法,即基于参考的超分辨率质谱成像 (RSR-MSI),以更快地创建高分辨率分子图像. 该技术使用光学图像来增强低分辨率质谱成像数据,改善细胞生物学研究的吞吐量.

科学领域:

分析化学分析化学
生物技术是生物技术.
显微镜的使用方法

背景情况:

高空间分辨率质谱成像 (MSI) 对于可视化细胞和组织中的分子分布至关重要.
目前的方法在采集时间和吞吐量方面面临限制,原因是像素密度增加以获得更高的分辨率.
对于MSI而言,现有的深度学习方法通常需要广泛的培训数据集或配对图像,这些并不总是可用的.

研究的目的:

引入一种新的方法,即基于参考的超分辨率的质谱成像 (RSR-MSI),以重建高分辨率的MSI数据.
为了利用光学显微镜图像作为提取纹理信息的参考框架.
为MSI数据增强开发一个特定图像的超高分辨率网络.

主要方法:

RSR-MSI方法将低分辨率MS图像的离子强度数据与参考光学图像的纹理信息集成在一起.
开发了一种特定于图像的超高分辨率网络,以重建高分辨率的MS图像.
该方法使用生物组织和单细胞进行验证,仅使用单个低分辨率的MS图像和参考光学图像.

主要成果:

成功重建了高分辨率质谱成像数据,为生物样本提供了丰富的化学和纹理细节.
与常规的pixel-by-pixel扫描相比,实现了显著的数据采集时间缩短 (数量级).
在未经专门设备修改的情况下,在单细胞MSI的亚细胞水平上证明了高空间分辨率.

结论:

RSR-MSI方法为实现高空间分辨率和高通量质谱成像提供了可行的解决方案.
这种方法可以实现亚细胞分辨率MSI,推进细胞生物学研究.
该技术使用现有的仪器来增强MSI功能,减少了定制修改的需要.

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