Song, Y, Treanor, D, Bulpitt, AJ et al. (1 more author) (2013) 3D reconstruction of multiple stained histology images. Journal of Pathology Informatics, 4 (Supple). 1 - 5. ISSN 2229-5089
Abstract
Three dimensional (3D) tissue reconstructions from the histology images with different stains allows the spatial alignment of structural and functional elements highlighted by different stains for quantitative study of many physiological and pathological phenomena. This has significant potential to improve the understanding of the growth patterns and the spatial arrangement of diseased cells, and enhance the study of biomechanical behavior of the tissue structures towards better treatments (e.g. tissue-engineering applications).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2013, Song, Y, Treanor, D, Bulpitt, AJ and Magee, DR. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
Keywords: | 3D reconstruction; computerized diagnosis; digital pathology; histological image; image analysis; multi-stain registration |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Jan 2014 12:03 |
Last Modified: | 29 Mar 2018 08:51 |
Published Version: | http://dx.doi.org/10.4103/2153-3539.109864 |
Status: | Published |
Publisher: | Medknow Publications |
Identification Number: | 10.4103/2153-3539.109864 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77413 |