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msiFlow:用于可重复和可扩展的多模式质谱成像和显微镜数据分析的自动化工作流程

Philippa Spangenberg¹, Sebastian Bessler², Lars Widera¹

¹Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany.

Nature communications

|January 27, 2025

概括

一个新的软件,msiFlow,使得从矩阵辅助激光脱离离电离质谱成像 (MALDI MSI) 的多式成像数据的高通量分析. 该工具有助于理解组织微环境中的分子特征以及疾病中的白细胞异质性.

科学领域:

生物医学成像技术生物医学成像技术
分子病理学分子病理学
计算生物学计算生物学

背景情况:

多式成像技术结合了矩阵辅助激光吸附离子化质谱成像 (MALDI MSI) 和显微镜,通过将分子数据与组织微环境联系起来,为疾病机制提供了洞察力.
目前的MALDI MSI软件通常是分散的,需要先进的编程技能,并涉及手工流程,限制其在研究中的广泛使用.
需要可访问,自动化和可重复的软件解决方案来分析复杂的MALDI MSI数据.

研究的目的:

推出 msiFlow,这是一个开源的,独立于平台的软件,用于对多式联络成像数据进行全面,端到端的分析.
为 MALDI MSI 数据分析提供透明,可重复和高吞吐量的工作流.
克服现有软件的局限性,促进生物发现.

主要方法:

开发 msiFlow,这是一款用于多式联络成像数据分析的集成软件解决方案.
实现自动化工作流程,包括原始数据的导入,分析和可视化.
集成现有和新的算法,用于先进的数据处理.

主要成果:

msiFlow能够对多式联络成像数据进行端到端,高通量,透明和可重复的分析.
该软件用于揭示受感染组织内的白细胞的分子异质性,特别关注以太结合脂的空间调节.
证明了msiFlow能够将分子特征映射到组织微环境中的特定细胞群体的能力.

结论:

msiFlow显著提高了MALDI MSI数据分析的可访问性和效率.
该软件有助于研究复杂的生物学问题,例如疾病状态中的细胞调节.
预计msiFlow将加速多式成像在生物医学研究和疾病理解中的应用.

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