TY - CONF
T1 - Multi-spectral fiber spectroscopy methods as solutions for label-free medical diagnostics (Conference Presentation)
AU - Bibikova, Olga
AU - Nippolainen, Ervin
AU - Afara, Isaac
AU - Haas, Julian
AU - Virtanen, Vesa
AU - Rieppo, Lasi
AU - Adomaviciute, Sonata
AU - Brommer, Harold
AU - van Weeren, René
AU - Melenteva, Anastasija
AU - Belikova, Valeria
AU - Zabarylo, Urszula
AU - Minet, Olaf
AU - Töyräs, Juha
AU - Sablinskas, Valdas
AU - Mizaikoff, Boris
AU - Artyushenko, Viacheslav
PY - 2019/3/4
Y1 - 2019/3/4
N2 - Optical spectroscopy offers unique opportunities for a label-free investigation of tissues at the molecular level to identify the variety of diseases. To transfer spectroscopic analysis from the scientific laboratories to clinical environment, fiber optic probes are required as optical bridges between the equipment and tissue. We developed single and combined fiber optic probes for the following set of spectroscopy methods: Mid IR-absorption, Raman scattering, Diffuse NIR-reflection, and auto-fluorescence. We benchmarked these methods and selected the optimal one (or their combination), that differentiate between healthy and malignant tissue, based on optical spectra. We tested cancer-normal tissue pairs of human body such as colon, kidney, brain as well as cartilages with and without injuries. Equines cartilage samples with and without osteoarthritis were tested as well. Obtained spectral data were evaluated by multivariate discrimination analysis to enable clear separation of malignant and normal tissues. Data fusion was revealed a synergic effect resulted in increasing of sensitivity, specificity and accuracy (up to 98% for kidney cancer).
AB - Optical spectroscopy offers unique opportunities for a label-free investigation of tissues at the molecular level to identify the variety of diseases. To transfer spectroscopic analysis from the scientific laboratories to clinical environment, fiber optic probes are required as optical bridges between the equipment and tissue. We developed single and combined fiber optic probes for the following set of spectroscopy methods: Mid IR-absorption, Raman scattering, Diffuse NIR-reflection, and auto-fluorescence. We benchmarked these methods and selected the optimal one (or their combination), that differentiate between healthy and malignant tissue, based on optical spectra. We tested cancer-normal tissue pairs of human body such as colon, kidney, brain as well as cartilages with and without injuries. Equines cartilage samples with and without osteoarthritis were tested as well. Obtained spectral data were evaluated by multivariate discrimination analysis to enable clear separation of malignant and normal tissues. Data fusion was revealed a synergic effect resulted in increasing of sensitivity, specificity and accuracy (up to 98% for kidney cancer).
U2 - 10.1117/12.2509174
DO - 10.1117/12.2509174
M3 - Paper
ER -