一个采用MALDI成像质谱和显微镜的多模态图像融合工作流程,用于研究小型制药化合物
Zhongling Liang1, Yingchan Guo1, Abhisheak Sharma2
1Department of Chemistry, University of Florida, Gainesville, FL 32611.
bioRxiv : the preprint server for biology
|April 1, 2024
概括
这项研究引入了一种多式成像工作流,将质谱与显微镜结合起来,以提高组织中药物化合物分析的空间分辨率. 图像融合显著提高了分辨率,使得与蜂目标的同定位更好.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 单模成像技术限制了对组织中药物效应的全面分析.
- 同时对化合物和受体进行空间映射是当前方法的挑战.
- 高分辨率成像对于了解药物分布和向相互作用至关重要.
研究的目的:
- 开发和验证一种多式成像工作流程,用于组织中药物化合物的高分辨率空间分析.
- 通过计算图像融合来提高成像质谱 (IMS) 数据的空间分辨率.
- 将增强的IMS数据与高分辨率显微镜共同注册,以评估药物同定位.
主要方法:
- 综合成像质谱 (IMS),免疫组织化学 (IHC) 光和亮场显微镜.
- 使用随机森林和二维CNN模型来增强IMS空间分辨率.
- 将工作流应用于大鼠大脑组织中,大鼠大脑组织中服用了克拉类类化合物 - - 科林提丁.
主要成果:
- 图像融合增强了IMS的空间分辨率,从25μm提高到大约2.5μm.
- 随机森林和二维CNN模型准确地预测了IMS强度值和模式.
- 成功地将增强的IMS图像与H&E和IHC图像共同注册,以评估科林提丁联合定位.
结论:
- 多模式成像和图像融合为生物组织中的高分辨率药物分析提供了强大的方法.
- 开发的工作流程能够详细地绘制化合物及其与细胞点的相互作用的空间地图.
- 这种方法为细胞水平的药物分发和疗效提供了宝贵的见解.
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