MassImager: A software for interactive and in-depth analysis of mass spectrometry imaging data

• Published in: Analytica chimica acta 2018-07, Vol.1015, p.50-57
• Main Authors: He, Jiuming, Huang, Luojiao, Tian, Runtao, Li, Tiegang, Sun, Chenglong, Song, Xiaowei, Lv, Yiwei, Luo, Zhigang, Li, Xin, Abliz, Zeper
• Format: Article
• Language: English
• Subjects: Artificial intelligent pathological diagnosis; Biomarkers; Cancer; Computer programs; Data exchange; Data processing; Data processing software; Diagnosis; Image enhancement; Image filters; Image processing; Image reconstruction; In-situ biomarker discovery; Information processing; Intelligence; Interactive visualization; Mass spectra; Mass spectrometry; Mass spectrometry imaging; Mass spectroscopy; Mathematical models; Medical imaging; Metabolomics; Molecular chains; Pattern recognition; Software; Spectroscopy; Statistical models; Studies; Superposition (mathematics); Visual discrimination; Visualization
• ISSN: 0003-2670; 1873-4324
• DOI: 10.1016/j.aca.2018.02.030

Mass spectrometry imaging (MSI) has become a powerful tool to probe molecule events in biological tissue. However, it is a widely held viewpoint that one of the biggest challenges is an easy-to-use data processing software for discovering the underlying biological information from complicated and huge MSI dataset. Here, a user-friendly and full-featured MSI software including three subsystems, Solution, Visualization and Intelligence, named MassImager, is developed focusing on interactive visualization, in-situ biomarker discovery and artificial intelligent pathological diagnosis. Simplified data preprocessing and high-throughput MSI data exchange, serialization jointly guarantee the quick reconstruction of ion image and rapid analysis of dozens of gigabytes datasets. It also offers diverse self-defined operations for visual processing, including multiple ion visualization, multiple channel superposition, image normalization, visual resolution enhancement and image filter. Regions-of-interest analysis can be performed precisely through the interactive visualization between the ion images and mass spectra, also the overlaid optical image guide, to directly find out the region-specific biomarkers. Moreover, automatic pattern recognition can be achieved immediately upon the supervised or unsupervised multivariate statistical modeling. Clear discrimination between cancer tissue and adjacent tissue within a MSI dataset can be seen in the generated pattern image, which shows great potential in visually in-situ biomarker discovery and artificial intelligent pathological diagnosis of cancer. All the features are integrated together in MassImager to provide a deep MSI processing solution at the in-situ metabolomics level for biomarker discovery and future clinical pathological diagnosis. [Display omitted] •A powerful and easy-to-use software to discover underlying biological information from complicated and huge MSI dataset.•High-performance MSI data analysis including quick ion image reconstruction, multi-mode visualization, pattern recognition.•Quick screening for direct region-specific biomarkers.•Artificial intelligent pathological diagnosis of bio-tissue at the in-situ metabolomics level.