ArticleJournal of the American Society for Mass Spectrometry2017
microMS: A Python Platform for Image-Guided Mass Spectrometry Profiling.
Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- Article
- Multimodal mass spectrometry imaging for plaque- and region-specific neurolipidomics in Alzheimer's disease mouse models.Nature communications · 2025Article
- Metabolomics of healthy hematopoietic stem cells and leukemic stem cells.Journal of clinical and translational research · 2025Article
- High-Throughput Fluorescence-Guided Sequential Single-Cell MALDI-ICC Mass Spectrometry.Analytical chemistry · 2025Article
- Fluorescence-Guided Matrix-assisted Laser Desorption/Ionization with Laser-Induced Postionization Mass Spectrometry of Individual Rat Neural Cells.Journal of visualized experiments : JoVE · 2025Article
- Single-Cell Peptide Profiling to Distinguish Stickleback Ecotypes with Divergent Breeding Behavior.Journal of proteome research · 2025Article
- Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective.Journal of proteome research · 2025Review
- Enhancing lipid production in plant cells through automated high-throughput genome engineering and phenotyping.The Plant cell · 2025Article
- Mass-Guided Single-Cell MALDI Imaging of Low-Mass Metabolites Reveals Cellular Activation Markers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Single Cell Analysis of Proteoforms.Journal of proteome research · 2024Article
- Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry.Nature methods · 2024Article
- Advances in multimodal mass spectrometry for single-cell analysis and imaging enhancement.FEBS letters · 2024Review
- Integrative Multiscale Biochemical Mapping of the Brain via Deep-Learning-Enhanced High-Throughput Mass Spectrometry.bioRxiv : the preprint server for biology · 2023Article
- RespectM revealed metabolic heterogeneity powers deep learning for reshaping the DBTL cycle.iScience · 2023Article
- Single-Cell and Subcellular Analysis Using Ultrahigh Resolution 21 T MALDI FTICR Mass Spectrometry.Analytical chemistry · 2023Article
- Chemical Decrosslinking-Based Peptide Characterization of Formaldehyde-Fixed Rat Pancreas Using Fluorescence-Guided Single-Cell Mass Spectrometry.Analytical chemistry · 2023Article
- Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry.Journal of proteome research · 2023Article
- Article
- Single cell metabolism: current and future trends.Metabolomics : Official journal of the Metabolomic Society · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Image-guided mass spectrometry (MS) profiling provides a facile framework for analyzing samples ranging from single cells to tissue sections. The fundamental workflow utilizes a whole-slide microscopy image to select targets of interest, determine their spatial locations, and subsequently perform MS analysis at those locations. Improving upon prior reported methodology, a software package was developed for working with microscopy images. microMS, for microscopy-guided mass spectrometry, allows the user to select and profile diverse samples using a variety of target patterns and mass analyzers. Written in Python, the program provides an intuitive graphical user interface to simplify image-guided MS for novice users. The class hierarchy of instrument interactions permits integration of new MS systems while retaining the feature-rich image analysis framework. microMS is a versatile platform for performing targeted profiling experiments using a series of mass spectrometers. The flexibility in mass analyzers greatly simplifies serial analyses of the same targets by different instruments. The current capabilities of microMS are presented, and its application for off-line analysis of single cells on three distinct instruments is demonstrated. The software has been made freely available for research purposes. Graphical Abstract ᅟ.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.