Magee, DR, Song, Y, Gilbert, S et al. (5 more authors) (2015) Histopathology in 3D: from three-dimensional reconstruction to multi-stain and multi-modal analysis. Journal of Pathology Informatics, 6 (6). ISSN 2229-5089
Abstract
Light microscopy applied to the domain of histopathology has traditionally been a two-dimensional imaging modality. Several authors, including the authors of this work, have extended the use of digital microscopy to three dimensions by stacking digital images of serial sections using image-based registration. In this paper, we give an overview of our approach, and of extensions to the approach to register multi-modal data sets such as sets of interleaved histopathology sections with different stains, and sets of histopathology images to radiology volumes with very different appearance. Our approach involves transforming dissimilar images into a multi-channel representation derived from co-occurrence statistics between roughly aligned images.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Magee et al; This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited |
Keywords: | Correlation; multi-stain; radiology; registration; three dimensional histopatholgy |
Dates: |
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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 Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Mar 2015 10:05 |
Last Modified: | 16 Jan 2018 10:34 |
Published Version: | http://dx.doi.org/10.4103/2153-3539.151890 |
Status: | Published |
Publisher: | Medknow Publications |
Identification Number: | 10.4103/2153-3539.151890 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83766 |