TY - JOUR
T1 - macroMS: Image-Guided Analysis of Random Objects by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry
AU - Choe, Kisurb
AU - Xue, Pu
AU - Zhao, Huimin
AU - Sweedler, Jonathan V.
N1 - Funding Information:
This work was funded by the Department of Energy Center for Advanced Bioenergy and Bioproducts Innovation (United States Department of Energy, Office of Science, Office of Biological and Environmental Research) under Award No. DE-SC0018420. The instrumentation used was partially supported by the National Institute on Drug Abuse under Award No. P30 DA018310. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the funding agencies. Sputter coating was performed in the Microscopy Suite of the Beckman Institute at the University of Illinois at Urbana–Champaign. We thank Stephanie Baker for proofreading the manuscript.
Publisher Copyright:
© 2021 American Society for Mass Spectrometry. Published by American Chemical Society. All rights reserved.
PY - 2021/5/5
Y1 - 2021/5/5
N2 - Mass spectrometry imaging is well-suited to characterizing sample surfaces for their chemical content in a spatially resolved manner. However, when the surface contains small objects with significant empty spaces between them, more efficient approaches to sample acquisition are possible. Image-guided mass spectrometry (MS) enables high-throughput analysis of a diverse range of sample types, such as microbial colonies, liquid microdroplets, and others, by recognizing and analyzing selected location targets in an image. Here, we describe an imaging protocol and macroMS, an online software suite that can be used to enhance MS measurements of macroscopic samples that are imaged by a camera or a flatbed scanner. The web-based tool enables users to find and filter targets from the optical images, correct optical distortion issues for improved spatial location of selected targets, input the custom geometry files into an MS device to acquire spectra at the selected locations, and finally, perform limited data analysis and use visualization tools to aid locating samples containing compounds of interest. Using the macroMS suite, an enzyme mutant library of Saccharomyces cerevisiae and nL droplet arrays of Escherichia coli and Pseudomonas fluorescens have been assayed at a rate of μ2 s/sample.
AB - Mass spectrometry imaging is well-suited to characterizing sample surfaces for their chemical content in a spatially resolved manner. However, when the surface contains small objects with significant empty spaces between them, more efficient approaches to sample acquisition are possible. Image-guided mass spectrometry (MS) enables high-throughput analysis of a diverse range of sample types, such as microbial colonies, liquid microdroplets, and others, by recognizing and analyzing selected location targets in an image. Here, we describe an imaging protocol and macroMS, an online software suite that can be used to enhance MS measurements of macroscopic samples that are imaged by a camera or a flatbed scanner. The web-based tool enables users to find and filter targets from the optical images, correct optical distortion issues for improved spatial location of selected targets, input the custom geometry files into an MS device to acquire spectra at the selected locations, and finally, perform limited data analysis and use visualization tools to aid locating samples containing compounds of interest. Using the macroMS suite, an enzyme mutant library of Saccharomyces cerevisiae and nL droplet arrays of Escherichia coli and Pseudomonas fluorescens have been assayed at a rate of μ2 s/sample.
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U2 - 10.1021/jasms.1c00013
DO - 10.1021/jasms.1c00013
M3 - Article
C2 - 33822609
SN - 1044-0305
VL - 32
SP - 1180
EP - 1188
JO - Journal of the American Society for Mass Spectrometry
JF - Journal of the American Society for Mass Spectrometry
IS - 5
ER -