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Histopathology image from normal tissue a) and the 9 malignant tissue samples displayed progressively from b) to j). The invasive tumors on the colon wall are displayed in different degree, with the presence of local or distant metastases. The microscopic images are displayed from b to j according to the increasing degree of metastases from cancer stage B (b-f), stage C (image g-h) and stage D (image j)
Source publication
Micro-Raman spectra of the hematoxylin-eosin stained tissue have been recorded and analyzed for both normal and carcinoma colon samples from nine patients in order to evaluate the compatibility of H&E staining with Raman spectroscopy of tissue. An additional aim was to evaluate if the “normal” tissue from various geographical locations is the same...
Contexts in source publication
Context 1
... histopathology examination confirmed adenocarcinoma from 9 patients undergoing surgical intervention as shown in the Fig. 1, where one image of normal tissue (a) is presented in comparison with the other 9 adenocarcinoma images (b-j), progressively displayed. The malignancy stages have been established according to the TNM Classification of Malignant Tumors [12]. The microscopic image of the H&E stained tissue revealed invasive tumors in the colon wall with ...
Context 2
... is presented in comparison with the other 9 adenocarcinoma images (b-j), progressively displayed. The malignancy stages have been established according to the TNM Classification of Malignant Tumors [12]. The microscopic image of the H&E stained tissue revealed invasive tumors in the colon wall with the presence of local or distant metastases ( Fig. 1, b-j). The H&E images are displayed from b to j according to the increasing degree of metastases from cancer stage B (b-f), stage C (image g-h) and stage D (image j). Histopathologists are able to provide acceptable classification into large subgroups of epithelial cancer and non cancer. However, while pathologists can demonstrate acceptable ...
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The ability to rapidly and accurately discriminate between healthy and malignant tissue offers surgeons a tool for in vivo analysis that would potentially reduce operating time, facilitate quicker recovery, and improve patient outcomes. To this end, we investigate discrimination between diseased tissue and adjacent healthy controls from patients with head and neck cancer using near-infrared Raman spectroscopy. Our results indicate previously unreported peaks in the Raman spectra that lie outside the conventional " fingerprint " region (400 cm −1 –1800 cm −1) played an important role in our analysis and in discriminating between the tissue classes. Preliminary multivariate statistical analyses of the Raman spectra indicate that discrimination between diseased and healthy tissue is possible based on these peaks.
