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MassImager
MassImager
Mass Spectrometry Imaging and In Situ Metabolomics Workstation
MassImager™: Next-gen MS imaging workstation integrating AI and big data for chemometric analysis and pattern recognition. Delivers high-performance visualization, multi-format support, and intuitive operation with advanced data mining capabilities.
No specific labeling required
Simultaneous detection of multiple molecules
High-throughput mass spectrometry imaging analysis

Product Overview

MassImagerTM is a next-generation high-performance workstation software specifically developed for mass spectrometry imaging (MSI) technologies including MALDI-MSI and DESI-MSI. MassImagerTM fully leverages ​high-throughput parallel processing​ technology based on high-resolution mass spectrometry images, integrating contemporary ​big data​ and ​artificial intelligence​ technologies such as chemometric analysis and mass spectrometry image pattern recognition. It features powerful functionality, rich visualization effects, compatibility with data formats from various instrument manufacturers, and an intuitive operation interface. Notably, it provides capabilities for ​big data mining​ and ​pattern recognition​ in mass spectrometry imaging.

  • Multi-functional Tools
  • MS and Optical Image Processing Window
  • Property Editing Window
  • MS Region Selection Window
  • Mass Spectral Library Window
  • Pattern Recognition Statistical Charts Window
  • Statistical Data Source Window
  • Statistical Results Output Window
  • Supports both Chinese and English languages

Main Features

1. Mass Spectrometry Image Processing

Powerful mass spectrometry image reconstruction and visual editing. Through provided manual and automatic in-situ marker discovery functions, it achieves comprehensive, precise, and in-situ molecular information. The software supports common mass spectrometry data formats including ANDI, mzXML, and Mat, and offers rich data preprocessing functions such as batch import, data channel extraction, spectral peak integration, and background subtraction.

2. Mass Spectrometry Target Region Extraction

The mass spectrometry image region extraction tool enables users to quickly and accurately extract and process regions of interest and their compound information (e.g., in-situ molecular markers) from the vast amount of data carried by mass spectrometry images, and allows saving these results to a database.

 

3. Optical Image Integrated Analysis

The addition of optical images such as histopathological tissue sections and their HE staining results that match the mass spectrometry images enables users to conduct in-depth comparison and feature extraction between the two modalities, facilitating the discovery of novel metabolic characteristics and their in-situ molecular markers.

4. Mass Spectrometry Image Pattern Recognition

MassImagerTMprovides multivariate statistical analysis of mass spectrometry imaging data based on various chemometric algorithms, along with artificial intelligence-based pattern recognition capabilities. This enables fully automated identification and screening of metabolic features and their in-situ molecular markers. The introduction of this function significantly facilitates molecular marker identification and automated image discrimination tasks based on the vast amount of data in mass spectrometry imaging.

Introduction to Mass Spectrometry Imaging

Mass Spectrometry Imaging (MSI)​​ is a molecular imaging technology that combines mass spectrometry analysis with visual imaging capabilities. It requires no specific labeling and enables multi-point detection and multi-dimensional data acquisition from biological tissue samples, achieving highly sensitive simultaneous detection of multiple different molecules while directly providing spatial distribution and molecular structural information of target compounds. Compared to other medical imaging technologies, MSI offers unique advantages including label-free operation, support for both targeted and untargeted high-throughput molecular analysis, and compatibility with imaging of macromolecules (MALDI-MSI) and small molecules (DESI-MSI). These capabilities give it broad application prospects in drug discovery, in-situ biomarker identification, clinical pathological diagnosis, and precision medicine.

Analysis Examples

MassImagerTM integrated with high-performance mass spectrometry imaging analysis, reveals drug metabolism and pharmacological mechanisms in vivo, providing ​holistic, comprehensive, and in-situ molecular information​ for evaluating ​targeted mechanisms of action​ and ​toxicity profiles​ of pharmaceuticals. By discovering in-situ biomarkers and elucidating their dynamic changes during disease progression, it plays a pivotal role in ​early diagnosis of critical illnesses such as cancer​ and ​clinical efficacy assessment.

The software trial version provides three analysis examples, including a thyroid tumor histopathological tissue section sample (Tumor Tissue MSI). Using these example datasets, users can perform the following analyses:​

  • Optical Image Overlay Function​ to assist in selecting regions of interest in tissues
  • Multivariate Statistical Analysis and Screening​ to identify in-situ biomarkers for thyroid cancer and paracancerous tissues
  • Establishing a Robust Statistical Model​ for cancer and paracancerous tissues and applying it to predict cancer vs. paracancerous regions in unknown thyroid tumor tissue samples
  • Additional analytical functions​ such as database construction

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