Abstract
We describe an informatics tool for comfortable browsing through highly complex, multi-gigabyte mass spectrometry histochemistry (MSHC) datasets, via clever ion-specific image extraction.
The package is developed particularly for the untargeted localization/discovery of biomolecules such as endogenous (neuro)secretory peptides on histological sections of biobanked formaldehyde-fixed paraffin-embedded (FFPE) samples straight from tissue banks.
Atmospheric pressure-MALDI-Orbitrap MSHC data of sections through human pituitary adenomas in which two well-known human neuropeptides are detected are used as an example to demonstrate the key features of the novel software, named HistoSnap.
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Acknowledgments
The authors gratefully acknowledge support to ProteoFormiX by Flanders Innovation and Entrepreneurship [VLAIO research project HBC.2019.2796], as well as from imec.istart and BlueHealth Innovation Center. We thank Werner Vandevelde for designing the HistoSnap icon.
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Verheggen, K., Bhattacharya, N., Verhaert, M., Goossens, B., Sciot, R., Verhaert, P. (2023). HistoSnap: A Novel Software Tool to Extract m/z-Specific Images from Large MSHC Datasets. In: Cole, L.M., Clench, M.R. (eds) Imaging Mass Spectrometry. Methods in Molecular Biology, vol 2688. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3319-9_2
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DOI: https://doi.org/10.1007/978-1-0716-3319-9_2
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