Original paper
Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter
Abstract
Current histological and anatomical analysis techniques, including fluorescence in situ hybridisation, immunohistochemistry, immunofluorescence, immunoelectron microscopy and fluorescent fusion protein, have revealed great distribution diversity of mRNA and proteins in the brain. However, the distributional pattern of small biomolecules, such as lipids, remains unclear. To this end, we have developed and optimised imaging mass spectrometry...
Paper Details
Title
Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter
Published Date
Sep 13, 2019
Journal
Volume
9
Issue
1
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Notes
History