Literature DB >> 27014927

msIQuant--Quantitation Software for Mass Spectrometry Imaging Enabling Fast Access, Visualization, and Analysis of Large Data Sets.

Patrik Källback1, Anna Nilsson1, Mohammadreza Shariatgorji1, Per E Andrén1.   

Abstract

This paper presents msIQuant, a novel instrument- and manufacturer-independent quantitative mass spectrometry imaging software suite that uses the standardized open access data format imzML. Its data processing structure enables rapid image display and the analysis of very large data sets (>50 GB) without any data reduction. In addition, msIQuant provides many tools for image visualization including multiple interpolation methods, low intensity transparency display, and image fusion. It also has a quantitation function that automatically generates calibration standard curves from series of standards that can be used to determine the concentrations of specific analytes. Regions-of-interest in a tissue section can be analyzed based on a number of quantities including the number of pixels, average intensity, standard deviation of intensity, and median and quartile intensities. Moreover, the suite's export functions enable simplified postprocessing of data and report creation. We demonstrate its potential through several applications including the quantitation of small molecules such as drugs and neurotransmitters. The msIQuant suite is a powerful tool for accessing and evaluating very large data sets, quantifying drugs and endogenous compounds in tissue areas of interest, and for processing mass spectra and images.

Mesh:

Year:  2016        PMID: 27014927     DOI: 10.1021/acs.analchem.5b04603

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  26 in total

1.  Evaluation of Data Analysis Platforms and Compatibility with MALDI-TOF Imaging Mass Spectrometry Data Sets.

Authors:  Gordon T Luu; Alanna R Condren; Lisa Juliane Kahl; Lars E P Dietrich; Laura M Sanchez
Journal:  J Am Soc Mass Spectrom       Date:  2020-05-07       Impact factor: 3.109

2.  Imaging mass spectrometry for natural products discovery: a review of ionization methods.

Authors:  Joseph E Spraker; Gordon T Luu; Laura M Sanchez
Journal:  Nat Prod Rep       Date:  2020-02-26       Impact factor: 13.423

3.  Spatial Segmentation of Mass Spectrometry Imaging Data by Combining Multivariate Clustering and Univariate Thresholding.

Authors:  Hang Hu; Ruichuan Yin; Hilary M Brown; Julia Laskin
Journal:  Anal Chem       Date:  2021-02-11       Impact factor: 6.986

Review 4.  Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry.

Authors:  Nico Verbeeck; Richard M Caprioli; Raf Van de Plas
Journal:  Mass Spectrom Rev       Date:  2019-10-11       Impact factor: 10.946

Review 5.  Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer.

Authors:  Matthias Holzlechner; Eliseo Eugenin; Brendan Prideaux
Journal:  Cancer Rep (Hoboken)       Date:  2019-12

6.  Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence.

Authors:  Theodore Alexandrov
Journal:  Annu Rev Biomed Data Sci       Date:  2020-04-13

7.  MSiReader v1.0: Evolving Open-Source Mass Spectrometry Imaging Software for Targeted and Untargeted Analyses.

Authors:  Mark T Bokhart; Milad Nazari; Kenneth P Garrard; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2017-09-20       Impact factor: 3.109

Review 8.  Applications and continued evolution of glycan imaging mass spectrometry.

Authors:  Colin T McDowell; Xiaowei Lu; Anand S Mehta; Peggi M Angel; Richard R Drake
Journal:  Mass Spectrom Rev       Date:  2021-08-15       Impact factor: 10.946

Review 9.  Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights.

Authors:  Amanda Rae Buchberger; Kellen DeLaney; Jillian Johnson; Lingjun Li
Journal:  Anal Chem       Date:  2017-12-13       Impact factor: 6.986

Review 10.  ADVANCES IN HIGH-RESOLUTION MALDI MASS SPECTROMETRY FOR NEUROBIOLOGY.

Authors:  Kellen DeLaney; Ashley Phetsanthad; Lingjun Li
Journal:  Mass Spectrom Rev       Date:  2020-11-09       Impact factor: 10.946

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