Colon tissue constitutes a valid model for the comparative analysis of soft tissue by Raman and Fourier transform infrared (FTIR) imaging because it contains four major tissue types such as muscle tissue, connective tissue, epithelium and nerve cells. Raman microscopic images were recorded in the mapping mode using 785 run laser excitation and a step size of 10 mu m from three regions within a thin section that encompassed mucus, mucosa, submucosa, and longitudinal and circular muscle layers. FTIR microscopic images that were composed of 4, 8 and 9 individual images of 4096 spectra each were recorded from the same regions using a FTIR spectrometer coupled to a microscope with a focal plane array detector. Furthermore, Raman microscopic imag...
Abstract. The objective of the article is to review biomedical applications which became possible af...
Colorectal cancer is one of the most common and often fatal cancers in humans, but it has the highes...
Mucosal tissues exhibit extended near-IR transparency in the 900 - 1300 nm window, which overlaps ni...
Colon tissue constitutes a valid model for the comparative analysis of soft tissue by Raman and Four...
Colon tissue constitutes a valid model for the comparative analysis of soft tissue by Raman and Fou...
grantor: University of TorontoRaman spectroscopy provides detailed information about the m...
Novel technologies that could complement current histopathology based cancer diagnostic methods are ...
10.1117/12.647384Progress in Biomedical Optics and Imaging - Proceedings of SPIE6093
For several decades, a multitude of studies have documented the ability of Raman spectroscopy (RS) t...
Objective: The biochemical alterations between inflammatory fibrous hyperplasia (IFH) and normal tis...
Biomedical applications of near-infrared Raman spectroscopy have increased their importance at the l...
Introduction The colorectal cancer is a major health problem worldwide. Histology is considered the...
grantor: University of TorontoThe Raman effect occurs when incident photons are inelastica...
Raman spectroscopy was used to differentiate between mucosally healed (or quiescent) and inflamed co...
Animal models and archived human biobank tissues are useful resources for research in disease develo...
Abstract. The objective of the article is to review biomedical applications which became possible af...
Colorectal cancer is one of the most common and often fatal cancers in humans, but it has the highes...
Mucosal tissues exhibit extended near-IR transparency in the 900 - 1300 nm window, which overlaps ni...
Colon tissue constitutes a valid model for the comparative analysis of soft tissue by Raman and Four...
Colon tissue constitutes a valid model for the comparative analysis of soft tissue by Raman and Fou...
grantor: University of TorontoRaman spectroscopy provides detailed information about the m...
Novel technologies that could complement current histopathology based cancer diagnostic methods are ...
10.1117/12.647384Progress in Biomedical Optics and Imaging - Proceedings of SPIE6093
For several decades, a multitude of studies have documented the ability of Raman spectroscopy (RS) t...
Objective: The biochemical alterations between inflammatory fibrous hyperplasia (IFH) and normal tis...
Biomedical applications of near-infrared Raman spectroscopy have increased their importance at the l...
Introduction The colorectal cancer is a major health problem worldwide. Histology is considered the...
grantor: University of TorontoThe Raman effect occurs when incident photons are inelastica...
Raman spectroscopy was used to differentiate between mucosally healed (or quiescent) and inflamed co...
Animal models and archived human biobank tissues are useful resources for research in disease develo...
Abstract. The objective of the article is to review biomedical applications which became possible af...
Colorectal cancer is one of the most common and often fatal cancers in humans, but it has the highes...
Mucosal tissues exhibit extended near-IR transparency in the 900 - 1300 nm window, which overlaps ni...