Full fingerprint hyperspectral imaging of prostate cancer tissue microarrays within clinical timeframes using quantum cascade laser microscopy
Dougal Ferguson, Niels Kröger‐Lui, Domenic Dreisbach, Claire A. Hart, Diego F. Sánchez, Pedro Oliveira, M.D. Brown, Noel W. Clarke, Ashwin Sachdeva, Peter Gardner
Abstract
= 1281). Comparisons of hyperspectral data acquisition quality in both achieved signal to noise and image contrast alongside the capacity for unsupervised and supervised modelling of tissue constituents are reported. We conclude that it is now possible to collect full fingerprint spectra and derive clinically relevant data in a timeframe suitable for translation into the pathology laboratory without the need to resort to discrete frequency imaging with subsequent loss of information.
Topics & Concepts
Hyperspectral imagingQuantum cascade laserProstate cancerFingerprint (computing)MicroscopyChemical imagingLaserTissue microarrayProstateBiomedical engineeringCancerMaterials scienceArtificial intelligenceComputer scienceMedicineMedical physicsPathologyOpticsPhysicsInternal medicineSpectroscopy Techniques in Biomedical and Chemical ResearchSpectroscopy and Chemometric AnalysesInfrared Thermography in Medicine