Carey, D, Wijayathunga, VN, Bulpitt, AJ et al. (1 more author) (2015) A Novel Approach for the Colour Deconvolution of Multiple Histological Stains. In: Lambrou, T and Ye, X, (eds.) Proceedings of the 19th Conference of Medical Image Understanding and Analysis. Medical Image Understanding and Analysis, 15-17 Jul 2015, Lincoln, UK. BMVA , 156 - 162. ISBN 1-901725-54-5
Abstract
Colour Deconvolution (CD) is a commonly used tool in histological medical image analysis that separates histochemical or immunohistochemical stains into their component parts. Traditional CD uses matrix inversion to change the Red, Green and Blue (RGB) channels of an image into a new domain that is representative of reference colours but this limits the total number of stains that can be separated. This is problematic for histological staining protocols that use more than three stains, such as FAST staining. This limitation has restricted the use of multicolour staining in light microscopy. To address this issue, this paper evaluates the use of Non Negative Matrix Factorisation (NNMF) and Non Negative Least Squares (NNLS) to enable the decomposition of multistained histological sections into its source components. It will be shown that NNLS is better suited to imaging modalities such as Whole Slide Image (WSI) scanners and that the multiple staining metrics produced from a single sample are analogous to those generated by applying single reagents to contiguous tissue sections.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2015. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms. Reproduced in accordance with the publishers self-archiving policy. |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds) |
Funding Information: | Funder Grant number Wellcome Trust 088908/Z/09/Z |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Oct 2015 15:07 |
Last Modified: | 23 Jun 2023 21:53 |
Published Version: | http://miua.blogs.lincoln.ac.uk/files/2015/07/MIUA... |
Status: | Published |
Publisher: | BMVA |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90875 |