@article{bac7d0ab26ef4b4fb6ce89d5690c99c7,
title = "MeXpose 2.0: A Comprehensive Toolkit for Single-Cell Spatial (Metall-)omics-Covering All Steps from Image Reconstruction to Integrative Analysis",
abstract = "MeXpose 2.0 is a major update to our interactive workflow for comprehensive analysis of multiplexed imaging data, optimized for spatial metallomics. This release streamlined the existing pipeline by replacing third-party software with custom Jupyter notebooks for image reconstruction, preprocessing, and data extraction. Additional features such as limit-of-detection calculations, interactive region-of-interest annotations, cytometry-style gating, and integrated spatial statistics enhance both exploratory and quantitative analyses within a single, compact environment. MeXpose 2.0 is free and open-source, available at under the MIT license. Additional test data are available at .",
keywords = "image processing, bioinformatics, metallomics, open-source, single-cell",
author = "Gabriel Braun and Lyndsey Hendriks and Claude Molitor and Nguyenova, \{Hoang Anh\} and Elisabeth Foels and Martin Schaier and Gunda Koellensperger",
note = "Accession Number WOS:001817395600001",
year = "2026",
month = oct,
day = "1",
doi = "10.1021/cbmi.6c00070",
language = "English",
journal = "Chemical \& biomedical imaging",
issn = "2832-3637",
publisher = "AMER CHEMICAL SOC",
}