Unstained tissue sections need to be hundreds of micrometres thick, not the standard 2-10 µm, to give hyperspectral microscopy enough spectral contrast to tell normal from lesioned tissue.
Novel Methodology for Alzheimer’s Disease Biomarker Identification in Plasma using Hyperspectral Microscopy,
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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations
Unstained tissue sections need to be hundreds of micrometres thick, not the standard 2-10 µm, to give hyperspectral microscopy enough spectral contrast to tell normal from lesioned tissue.