Max-Planck Institute for Marine Microbiology, Bremen, Germany.
Environ Microbiol. 2012 Apr;14(4):1009-23. doi: 10.1111/j.1462-2920.2011.02681.x. Epub 2012 Jan 6.
We describe an open-source freeware programme for high throughput analysis of nanoSIMS (nanometre-scale secondary ion mass spectrometry) data. The programme implements basic data processing and analytical functions, including display and drift-corrected accumulation of scanned planes, interactive and semi-automated definition of regions of interest (ROIs), and export of the ROIs' elemental and isotopic composition in graphical and text-based formats. Additionally, the programme offers new functions that were custom-designed to address the needs of environmental microbiologists. Specifically, it allows manual and automated classification of ROIs based on the information that is derived either from the nanoSIMS dataset itself (e.g. from labelling achieved by halogen in situ hybridization) or is provided externally (e.g. as a fluorescence in situ hybridization image). Moreover, by implementing post-processing routines coupled to built-in statistical tools, the programme allows rapid synthesis and comparative analysis of results from many different datasets. After validation of the programme, we illustrate how these new processing and analytical functions increase flexibility, efficiency and depth of the nanoSIMS data analysis. Through its custom-made and open-source design, the programme provides an efficient, reliable and easily expandable tool that can help a growing community of environmental microbiologists and researchers from other disciplines process and analyse their nanoSIMS data.
我们描述了一个用于高通量分析纳米二次离子质谱 (nanoSIMS) 数据的开源免费软件程序。该程序实现了基本的数据处理和分析功能,包括显示和漂移校正的扫描平面的积累、交互式和半自动定义感兴趣区域 (ROI),以及以图形和基于文本的格式导出 ROI 的元素和同位素组成。此外,该程序还提供了一些新的功能,这些功能是专门为满足环境微生物学家的需求而设计的。具体来说,它允许基于从 nanoSIMS 数据集本身获得的信息(例如通过卤化物原位杂交实现的标记)或从外部提供的信息(例如荧光原位杂交图像)手动和自动地对 ROI 进行分类。此外,通过实施与内置统计工具相结合的后处理例程,该程序允许快速综合和比较来自许多不同数据集的结果。在验证了该程序后,我们展示了这些新的处理和分析功能如何提高 nanoSIMS 数据分析的灵活性、效率和深度。通过其定制的开源设计,该程序提供了一个高效、可靠且易于扩展的工具,可以帮助越来越多的环境微生物学家和来自其他学科的研究人员处理和分析他们的 nanoSIMS 数据。