Toward noncontact macroscopic imaging of multiple cancers using multi-spectral inelastic scattering detection.
Sandryne DavidNassim KsantiniFrédérick DallaireKatherine EmberFrançois DaoustGuillaume SheehyCostas G HadjipanayisKevin PetreccaBrian C WilsonFrédérick DallairePublished in: Journal of biophotonics (2024)
Here we introduce a Raman spectroscopy approach combining multi-spectral imaging and a new fluorescence background subtraction technique to image individual Raman peaks in less than 5 seconds over a square field-of-view of 1-centimeter sides with 350 micrometers resolution. First, human data is presented supporting the feasibility of achieving cancer detection with high sensitivity and specificity - in brain, breast, lung, and ovarian/endometrium tissue - using no more than three biochemically interpretable biomarkers associated with the inelastic scattering signal from specific Raman peaks. Second, a proof-of-principle study in biological tissue is presented demonstrating the feasibility of detecting a single Raman band - here the CH 2 /CH 3 deformation bands from proteins and lipids - using a conventional multi-spectral imaging system in combination with the new background removal method. This study paves the way for the development of a new Raman imaging technique that is rapid, label-free, and wide field.
Keyphrases
- label free
- raman spectroscopy
- high resolution
- optical coherence tomography
- loop mediated isothermal amplification
- endothelial cells
- single molecule
- magnetic resonance
- computed tomography
- multiple sclerosis
- big data
- dual energy
- papillary thyroid
- magnetic resonance imaging
- machine learning
- young adults
- brain injury
- cerebral ischemia
- lymph node metastasis