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The potential for histological screening using a combination of rapid Raman mapping and principal component analysis
Author(s) -
Hutchings Joanne,
Kendall Catherine,
Smith Brian,
Shepherd Neil,
Barr Hugh,
Stone Nicholas
Publication year - 2009
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.200810070
Subject(s) - principal component analysis , haematoxylin , raman spectroscopy , eosin , biopsy , pattern recognition (psychology) , histopathology , artificial intelligence , analytical chemistry (journal) , chemistry , computer science , biological system , pathology , medicine , optics , staining , physics , biology , chromatography
Rapid Raman mapping was carried out on 20 μm sections of oesophageal biopsy samples. Contiguous 7 μm sections were stained with haematoxylin and eosin (H&E) with histopathology provided by an expert pathologist. The step size and acquisition times were varied and the resulting spectra, principal component (PC) score maps and loads were compared. Overall mapping times were also compared to traditional Raman point mapping. The principal component loads for each of the maps were seen to be similar despite varying the acquisition time and number of spectra. Gross biochemical information was extracted showing good correlation with the H&E sections even for short overall mapping times (30–90 minutes for a 2 mm biopsy, 0.5 s acquisition time per 25.3 μm Raman pixel). This demonstrates that low signal to noise spectral maps are sufficient for the identification of histologically relevant biochemistry using principal component analysis as long as the spectral dataset is large enough. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)