MSIGen:一个开源的Python包,用于处理和可视化质谱成像数据
Emerson Hernly1, Hang Hu1, Julia Laskin1
1Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
Journal of the American Society for Mass Spectrometry
|September 2, 2024
概括
MSIGen是一个新的开源Python包,用于可视化质谱成像 (MSI) 数据. 它支持直线采集和MS/MS,MRM和IMS等高级模式,简化复杂的MSI数据分析.
科学领域:
- 分析化学 分析化学
- 分子成像分子成像技术
- 计算化学的计算化学
背景情况:
- 质谱成像 (MSI) 在复杂样品中提供高灵敏度的分子定位.
- 目前的MSI分析软件限制了先进采集模式的实施.
- 线性数据采集和专用模式 (MS/MS,MRM,IMS) 提高了分子特异性和灵敏度.
研究的目的:
- 介绍MSIGen,一个开源的Python包用于MSI数据可视化.
- 支持直线采集和高级MSI数据类型 (MS1,MS2,MRM,IMS).
- 为数据处理,规范化和出口提供工具.
主要方法:
- 开发MSIGen,这是一个使用直线数据采集的Python包.
- 支持MS1,MS2,MRM和IMS数据的实施.
- 集成工具,用于有针对性的离子图像提取,规范化和各种出口格式.
主要成果:
- MSIGen在线式获取模式下促进MSI实验的可视化.
- 该软件包支持多种特定供应商和开源数据格式.
- MSIGen允许有针对性的离子提取,规范化和MSI数据的出口.
结论:
- MSIGen是一个有价值的开源工具,用于可视化和分析各种MSI数据.
- 它对多种获取模式和格式的支持提高了MSI数据的可访问性.
- MSIGen简化了对MSI分析的现有计算工作流程的集成.
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