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Toward noncontact macroscopic imaging of multiple cancers using multi-spectral inelastic scattering detection.
David, Sandryne; Ksantini, Nassim; Dallaire, Frédérick; Ember, Katherine; Daoust, François; Sheehy, Guillaume; Hadjipanayis, Costas G; Petrecca, Kevin; Wilson, Brian C; Leblond, Frédéric.
  • David S; Department of Engineering Physics, Polytechnique Montreal, Montreal, Quebec, Canada.
  • Ksantini N; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
  • Dallaire F; Department of Engineering Physics, Polytechnique Montreal, Montreal, Quebec, Canada.
  • Ember K; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
  • Daoust F; Department of Engineering Physics, Polytechnique Montreal, Montreal, Quebec, Canada.
  • Sheehy G; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
  • Hadjipanayis CG; Department of Engineering Physics, Polytechnique Montreal, Montreal, Quebec, Canada.
  • Petrecca K; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
  • Wilson BC; Department of Engineering Physics, Polytechnique Montreal, Montreal, Quebec, Canada.
  • Leblond F; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
J Biophotonics ; : e202400087, 2024 Jul 04.
Article en En | MEDLINE | ID: mdl-38961754
ABSTRACT
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 CH2/CH3 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.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article