Issue 8, 2025
From the journal:

Journal of Analytical Atomic Spectrometry

AutoSpect: an all-in-one software solution for automated processing of LA-ICP-TOF-MS datasets†

Andrew M. Crawford, ORCID logo *abc   David Z. Zee, ORCID logo abc   Qiaoling Jin, ORCID logo d   Aaron Sue, ORCID logo abc   Niharika Sinha, ORCID logo abc   Soo Hyun Ahn, ORCID logo ae   Thomas V. O'Halloran ORCID logo *abc  and  Keith W. MacRenaris ORCID logo *abc  

* Corresponding authors

a Department of Microbiology, Genetics, Immunology, Michigan State University, East Lansing, MI, USA
E-mail: macrenar@msu.edu, ohallor8@msu.edu, crawf472@msu.edu

b Department of Chemistry, Michigan State University, East Lansing, MI, USA

c Elemental Health Institute, Michigan State University, East Lansing, MI, USA

d Department of Physics and Astronomy, Northwestern University, Evanston, IL, USA

e Department of Pathobiology and Diagnostics Investigation, Michigan State University, East Lansing, MI, USA

Abstract

LA-ICP-TOF-MS provides rapid, high resolution elemental analysis of biological and non-biological samples. However, accurate real-time data analysis frequently requires the user to account for several instrumental and experimental variables that can change during data acquisition. AutoSpect is a novel software tool designed to automate the processing and fitting of LA-ICP-TOF-MS data, addressing key challenges such as time-dependent spectral drift, instrument sensitivity drift, calibration inaccuracies, and peak deconvolution, enabling researchers to rapidly and accurately process complex datasets. The tool is optimized to be robustly applicable across scientific fields (e.g., geochemistry, biology, and materials science), providing a streamlined solution for end users seeking to maximize the potential of LA-ICP-TOF-MS for high-resolution elemental mapping and isotopic analysis.

Graphical abstract: AutoSpect: an all-in-one software solution for automated processing of LA-ICP-TOF-MS datasets

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Article information

DOI
https://doi.org/10.1039/D5JA00145E
Article type
Paper
Submitted
16 Apr 2025
Accepted
19 Jun 2025
First published
02 Jul 2025
This article is Open Access
Creative Commons BY-NC license

J. Anal. At. Spectrom., 2025,40, 2162-2178

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AutoSpect: an all-in-one software solution for automated processing of LA-ICP-TOF-MS datasets

A. M. Crawford, D. Z. Zee, Q. Jin, A. Sue, N. Sinha, S. H. Ahn, T. V. O'Halloran and K. W. MacRenaris, J. Anal. At. Spectrom., 2025, 40, 2162 DOI: 10.1039/D5JA00145E

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