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Mass spectrometry imaging-based explainable machine learning reveals the biochemical landscapes of the mouse brain

2025-09-17

Abstract excerpt

Recent computational advances in mass spectrometry imaging (MSI) now enable unprecedented insight into organ-wide molecular composition and functional architecture. Here, we present the first high-resolution molecular-computational atlas of specific mouse brain lipids and metabolites, acquired using a NEDC matrix and negative-mode MSI, covering 123 anatomically defined regions and 191 polygonal annotations derived...

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Literature Corpus work
59758a3e-2e26-5f4e-a281-9b4636908bdd
DOI
10.1101/2025.09.12.675752
Open publication

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Mass spectrometry imaging-based explainable machine learning reveals the biochemical landscapes of the mouse brainDOI 10.1101/2025.09.12.675752
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