Fourier Transform Infrared Imaging and Unsupervised Hierarchical Clustering Applied to Cervical Biopsies
Keith R. Bambery A , Bayden R. Wood A , Michael A. Quinn B and Don McNaughton A CA Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton VIC 3800, Australia.
B Department of Obstetrics and Gynaecology, Royal Women’s Hospital, Parkville VIC 3052, Australia.
C Corresponding author. Email: D.McNaughton@sci.monash.edu.au
Australian Journal of Chemistry 57(12) 1139-1143 https://doi.org/10.1071/CH04137
Submitted: 25 May 2004 Accepted: 9 September 2004 Published: 8 December 2004
Abstract
FTIR images of cervical tissue from patient biopsies were processed with an unsupervised hierarchical clustering algorithm and compared with hematoxylin- and eosin-stained adjacent sections. Anatomical and potential histopathological features were clearly resolved in the resultant cluster maps. The mean extracted spectra assigned to each cluster indicate that the major spectral differences between the different cells in tissue predictably occur in the amide I region (1700–1570 cm−1) and the phosphodiester/glycogen region (1200–1000 cm−1). FTIR imaging in which a focal plane array mercury–cadmium–telluride detector and unsupervised hierarchical clustering is used shows potential as a rapid, non-subjective diagnostic tool in cervical pathology.
Acknowledgments
The authors thank Dr Virginia Billson, Royal Women’s Hospital, Melbourne, for histopathology advice, and the National Health and Medical Research Council of Australia for grant support. B.R.W. is funded by an Australian Synchrotron Research Program Fellowship Grant.
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