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JMS-S3000 NewSpiralTOF™
Mass Spectrometry Imaging System

Features

◆Click the play button in the above box to watch the video. (3min 30sec.)◆

Applications shown in the movie:

NewSpiralTOF™ High-Speed MS Imaging × High Mass-Resolution

In MALDI mass spectrometry imaging (MALDI-MSI), molecules are visualized directly within a specimen by coating the specimen surface with matrix, scanning it with a laser, and acquiring a mass spectrum at each position. This makes it possible to see where specific molecules are located and how much of them is present across a tissue section or other specimen surface.

High Mass-Resolution for Accurate MS Imaging

Thanks to its 17 m flight path, the NewSpiralTOF™ delivers high mass-resolution even when analyzing biological tissue sections with nonuniform surface conditions. In measurements of approximately half of a mouse brain over a region of about 5 × 7 mm, the system achieved a mass resolution of approximately 40,000 in the average mass spectrum. This high resolving power enabled the separation of isobaric lipid species such as phosphatidylcholine (PC), phosphatidylethanolamine (PE), and galactosylceramide (GalCer), making it possible to obtain the correct spatial distribution for each molecule.

Separation of isobaric ions and their MS images processed with FINE-AI Filter

PE: Phosphatidyl ethanolamine, PC: Phosphatidyl Choline, GalCer: Galactosylceramide

This data was acquired in a joint research project with the Mass Spectrometry Group, Project Research Center for Fundamental Sciences, Graduate School of Science, Osaka University.
The tissue section specimen was provided by Awazu Laboratory, Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University.

AI-Enhanced Image Quality for MS Imaging

JEOL has a long history of innovation in image processing, driven by its leadership in electron microscopy. Building on this expertise, JEOL adapted its AI-based image enhancement technology LIVE-AI (Live Image Visual Enhancer-AI), originally developed for SEM, to MS imaging data processing and implemented it as the FINE-AI Filter. The result is a substantial improvement in the clarity and interpretability of mass images.

Automatic Extraction of Important Features

With the high mass-resolution of the NewSpiralTOF™, more than 100 lipid species were detected in mouse brain sections. However, interpreting the distribution of each lipid individually is not practical. Meaningful insight requires statistical tools that can identify groups of components that vary together and summarize complex datasets efficiently.

To address this, vertex component analysis (VCA), a method that models all spectra in a mass imaging dataset as mixtures of a small number of "vertex components" is implemented. Compared with methods such as principal component analysis, VCA provides results that are easier to interpret in a shorter time. Because VCA is sensitive to noise, applying it after denoising with the FINE-AI Filter makes the analysis far more effective. In the example shown, this approach revealed three key vertex components characterizing lipids in mouse brain tissue.

 

Mass spectrometry imaging data analysis of synthetic polymers by using msMicroImager™

In conventional MS imaging, a MS image is extracted by specifying a specific m/z range. However, since polymers are polydisperse and have molecular weight distributions, the conventional method can generate only a mass image of a specific degree of polymerization, and the spatial distribution of the polymer as a whole cannot be visualized. To solve this problem, msMicroImager™ can generate an image with the number average molecular weight (Mn), weight average molecular weight (Mw), and polydispersity (D) of the polymer. This makes it possible to visualize the spatial distribution of polymers more intuitively by consolidating hundreds of mass images derived from each degree of polymerization / isotope peak into three images.

MS Imaging of polyethylene glycols having different molecular weight distributions (MSTips No.305)

Mass Spectrometry Imaging Analysis of Polymers by Combining msMicroImager™ and msRepeatFinder

Specifications

Options

Model name Description
Target plates Adapter for glass sample plate For ITO glass sample plates (Hudson Surface Technology; HST)
ITO glass sample plate Slide glass, 0.7 mm thick, 25 pc/pkg
Multi-target plate For thick specimens
Indentations for 0.5 mm thick and 1.0 mm thick specimens.
Software MS Imaging Support Program 1D (line) scan and 2D scan (imaging) data acquisition.
Convert MS imaging raw data into imzML format.
msMicroImager™
MS Imaging Viewer Program
Read MS imaging raw data acquired by msTornado™ Control. Perform pixel binning.
Extract and export MS images. Export mass spectra of the regions of interest.
Browse MS images. Change color map of the images. Perform arithmetic operations between MS images.
Import images, including optical images from microscopes and scanners. Overlay MS and imported images.
Noise reduction and image quality improvement with FINE-AI Filter.
Automatic extraction of important features with vertex component analysis (VCA.)
Generation of images based on average molecular weight and polydispersity.

Top: multi-target plate for thick specimens (for 0.5 mm thick and 1.0 mm thick specimens)
Bottom: sample plate holder for ITO (indium tin oxide) coated glass slide by Hudson Surface Technology

Catalogue Download

Application

Application MS-Imaging

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