Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107484
Title: Investigation on the potential of Mueller matrix imaging for digital staining
Authors: Wang, Wenfeng
Lim, Lee Guan
Srivastava, Supriya
Bok-Yan So, Jimmy
Shabbir, Asim
Liu, Quan
Keywords: DRNTU::Science::Medicine::Biomedical engineering
Issue Date: 2015
Source: Wang, W., Lim, L. G., Srivastava, S., So, J. B.-Y., Shabbir, A., & Liu, Q. (2015). Investigation on the potential of Mueller matrix imaging for digital staining. Journal of Biophotonics, 9(4), 364-375.
Series/Report no.: Journal of biophotonics
Abstract: The original stained image (top) and the digital staining image (bottom). Digital staining based on Mueller matrix measurements and their derivatives was investigated. Mueller matrix imaging was performed at the microscopic level on gastric tissue sections. Full Mueller matrices (4 × 4) were reconstructed using recorded images, followed by the extraction of polarization parameters. The most effective parameters and their combinations were extracted from Mueller matrix elements, principal component scores and polarization parameters respectively to classify samples into three categories – i.e. cancer, dysplasia and intestinal metaplasia/normal glands for various regions of interest sizes. It was observed that two-step classification yielded higher classification accuracy than the traditional one-step classification and that pixel classification based on Mueller matrix elements yielded higher accuracy than that based on polarization parameters and derived principal components. Moreover, Mueller matrix images with a lower spatial resolution generated higher classification accuracy but those with a higher spatial resolution revealed more morphological details.ns.
URI: https://hdl.handle.net/10356/107484
http://hdl.handle.net/10220/25621
ISSN: 1864-063X
DOI: http://dx.doi.org/10.1002/jbio.201500006
Rights: © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCBE Journal Articles

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