Development of imaging mass spectrometry (IMS) dataset extractor software, IMS convolution
Development of imaging mass spectrometry (IMS) dataset extractor software, IMS convolution
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DOI：
10.1007/s00216-011-4778-9
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发表时间：
2011-07-01
影响因子：
4.3
通讯作者：
Setou, Mitsutoshi
中科院分区：
文献类型：
--
作者：
Hayasaka, Takahiro;Goto-Inoue, Naoko;Setou, Mitsutoshi
成像质谱（IMS）是检测和可视化组织切片中生物分子的有力工具。该技术已应用于多个领域，许多研究人员已开始将其应用于病理样本。然而，对于没有经验的用户来说，从庞大的IMS数据集中提取有意义的信号是非常困难的，而且这个过程非常耗时。我们已经开发了一种软件，称为IMS卷积与感兴趣区域（ROI），用于自动从IMS数据集中提取有意义的信号。该处理基于对IMS数据集中有序区域内的公共峰的检测。在这项研究中，我们使用我们最近开发的质量显微镜获得了小鼠眼球切片的IMS数据集，并比较了人工和自动方法提取的峰。人工程序在整个测点的平均质谱中提取了16个强度较高的峰。另一方面，使用IMS卷积的自动程序可以轻松均匀地提取峰值，无需任何努力。此外，将ROI与IMS卷积结合使用，我们可以提取每个ROI区域上的峰值，并且小鼠眼球组织上的16个离子图像均来自磷脂酰胆碱种。因此，我们认为具有roi的IMS卷积可以为没有经验的用户以及进行分析的研究人员从大量IMS数据集中自动提取有意义的峰值。
Imaging mass spectrometry (IMS) is a powerful tool for detecting and visualizing biomolecules in tissue sections. The technology has been applied to several fields, and many researchers have started to apply it to pathological samples. However, it is very difficult for inexperienced users to extract meaningful signals from enormous IMS datasets, and the procedure is time-consuming. We have developed software, called IMS Convolution with regions of interest (ROI), to automatically extract meaningful signals from IMS datasets. The processing is based on the detection of common peaks within the ordered area in the IMS dataset. In this study, the IMS dataset from a mouse eyeball section was acquired by a mass microscope that we recently developed, and the peaks extracted by manual and automatic procedures were compared. The manual procedure extracted 16 peaks with higher intensity in mass spectra averaged in whole measurement points. On the other hand, the automatic procedure using IMS Convolution easily and equally extracted peaks without any effort. Moreover, the use of ROIs with IMS Convolution enabled us to extract the peak on each ROI area, and all of the 16 ion images on mouse eyeball tissue were from phosphatidylcholine species. Therefore, we believe that IMS Convolution with ROIs could automatically extract the meaningful peaks from large-volume IMS datasets for inexperienced users as well as for researchers who have performed the analysis.