Data Processing and Analysis for Mass Spectrometry Imaging

2014 ◽  
pp. 195-209 ◽  
Author(s):  
Jiangjiang Liu ◽  
Xingchuang Xiong ◽  
Zheng Ouyang
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Mass Spectrometry Imaging

scholarly journals Data Processing for 3D Mass Spectrometry Imaging

2012 ◽  
Vol 23 (6) ◽  
pp. 1147-1156 ◽  
Author(s):  
Xingchuang Xiong ◽  
Wei Xu ◽  
Livia S. Eberlin ◽  
Justin M. Wiseman ◽  
Xiang Fang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Mass Spectrometry Imaging

scholarly journals rMSIproc: an R package for mass spectrometry imaging data processing

2020 ◽  
Vol 36 (11) ◽  
pp. 3618-3619 ◽  
Author(s):  
Pere Ràfols ◽  
Bram Heijs ◽  
Esteban del Castillo ◽  
Oscar Yanes ◽  
Liam A McDonnell ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Mass Spectrometry Imaging ◽  
R Package ◽  
Supplementary Information ◽  
Imaging Data ◽  
Full Data ◽  
Modern Computer ◽  
Multiple Datasets ◽  
Novel Strategy

Abstract Summary Mass spectrometry imaging (MSI) can reveal biochemical information directly from a tissue section. MSI generates a large quantity of complex spectral data which is still challenging to translate into relevant biochemical information. Here, we present rMSIproc, an open-source R package that implements a full data processing workflow for MSI experiments performed using TOF or FT-based mass spectrometers. The package provides a novel strategy for spectral alignment and recalibration, which allows to process multiple datasets simultaneously. This enables to perform a confident statistical analysis with multiple datasets from one or several experiments. rMSIproc is designed to work with files larger than the computer memory capacity and the algorithms are implemented using a multi-threading strategy. rMSIproc is a powerful tool able to take full advantage of modern computer systems to completely develop the whole MSI potential. Availability and implementation rMSIproc is freely available at https://github.com/prafols/rMSIproc. Contact [email protected] Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Data Processing Pipeline for Lipid Profiling of Carotid Atherosclerotic Plaque with Mass Spectrometry Imaging

2019 ◽  
Vol 30 (9) ◽  
pp. 1790-1800 ◽  
Author(s):  
Mirjam Visscher ◽  
Astrid M. Moerman ◽  
Peter C. Burgers ◽  
Heleen M. M. Van Beusekom ◽  
Theo M. Luider ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Atherosclerotic Plaque ◽  
Mass Spectrometry Imaging ◽  
Carotid Atherosclerotic Plaque ◽  
Lipid Profiling ◽  
Processing Pipeline

A graphical data processing pipeline for mass spectrometry imaging-based spatially resolved metabolomics on tumor heterogeneity

2019 ◽  
Vol 1077 ◽  
pp. 183-190 ◽  
Author(s):  
Luojiao Huang ◽  
Xinxin Mao ◽  
Chenglong Sun ◽  
Zhigang Luo ◽  
Xiaowei Song ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Tumor Heterogeneity ◽  
Mass Spectrometry Imaging ◽  
Processing Pipeline ◽  
Spatially Resolved ◽  
Graphical Data

scholarly journals Sample preparation strategy for the detection of steroid-like compounds using MALDI mass spectrometry imaging: pulmonary distribution of budesonide as a case study

2021 ◽  
Author(s):  
Riccardo Zecchi ◽  
Pietro Franceschi ◽  
Laura Tigli ◽  
Davide Amidani ◽  
Chiara Catozzi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Sample Preparation ◽  
Mass Spectrometry Imaging ◽  
Maldi Mass Spectrometry ◽  
Adult Rabbit ◽  
Chronic Obstructive ◽  
Ionization Mass ◽  
Obstructive Pulmonary Disease ◽  
Imaging Protocol ◽  
Girard’S Reagent

AbstractCorticosteroids as budesonide can be effective in reducing topic inflammation processes in different organs. Therapeutic use of budesonide in respiratory diseases, like asthma, chronic obstructive pulmonary disease, and allergic rhinitis is well known. However, the pulmonary distribution of budesonide is not well understood, mainly due to the difficulties in tracing the molecule in lung samples without the addition of a label. In this paper, we present a matrix-assisted laser desorption/ionization mass spectrometry imaging protocol that can be used to visualize the pulmonary distribution of budesonide administered to a surfactant-depleted adult rabbit. Considering that budesonide is not easily ionized by MALDI, we developed an on-tissue derivatization method with Girard’s reagent P followed by ferulic acid deposition as MALDI matrix. Interestingly, this sample preparation protocol results as a very effective strategy to raise the sensitivity towards not only budesonide but also other corticosteroids, allowing us to track its distribution and quantify the drug inside lung samples. Graphical abstract

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