Emerging applications in mass spectrometry imaging; enablers and roadblocks
Author(s) -
Cristina Russo,
Cameron Heaton,
Lucy Flint,
Oana M. Voloaca,
Sarah HaywoodSmall,
Malcolm R. Clench,
Simona Francese,
Laura M. Cole
Publication year - 2020
Publication title -
journal of spectral imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.256
H-Index - 6
ISSN - 2040-4565
DOI - 10.1255/jsi.2020.a13
Subject(s) - mass spectrometry imaging , computer science , mass spectrometry , identification (biology) , drug discovery , data science , chemistry , bioinformatics , biology , chromatography , botany
Author Summary: Mass spectrometry imaging (MSI) is a powerful and versatile technique able to investigate the spatial distribution of multiple non-labelled endogenous and exogenous analytes simultaneously, within a wide range of samples. Over the last two decades, MSI has found widespread application for an extensive range of disciplines including pre-clinical drug discovery, clinical applications and human identification for forensic purposes. Technical advances in both instrumentation and software capabilities have led to a continual increase in the interest in MSI; however, there are still some limitations. In this review, we discuss the emerging applications in MSI that significantly impact three key areas of mass spectrometry (MS) research—clinical, pre-clinical and forensics—and roadblocks to the expansion of use of MSI in these areas.
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