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Resolving the Three-Dimensional Histology of the Heart

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Computational Methods in Systems Biology (CMSB 2012)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 7605))

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Abstract

Cardiac histo-anatomical structure is a key determinant in all aspects of cardiac function. While some characteristics of micro- and macrostructure can be quantified using non-invasive imaging methods, histology is still the modality that provides the best combination of resolution and identification of cellular/sub-cellular substrate identities. The main limitation of histology is that it does not provide inherently consistent three-dimensional (3D) volume representations. This paper presents methods developed within our group to reconstruct 3D histological datasets. It includes the use of high-resolution MRI and block-face images to provide supporting volumetric datasets to guide spatial reintegration of 2D histological section data, and presents recent developments in sample preparation, data acquisition, and image processing.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Oxford, UK

    Matthew Gibb, Tahir Mansoori, Davig J. Gavaghan, Blanca Rodriguez & Peter Kohl

  2. Department of Physiology, Anatomy and Genetics, University of Oxford, UK

    Rebecca A. B. Burton

  3. The Heart Science Centre, National Heart and Lung Institute, Imperial College London, UK

    Christian Bollensdorff & Peter Kohl

  4. Oxford e-Research Centre, University of Oxford, UK

    Carlos Afonso & Vicente Grau

  5. Department of Physiology, Maastricht University, The Netherlands

    Ulrich Schotten

  6. British Heart Foundation Experimental MR Unit, Department of Cardiovascular Medicine, University of Oxford, UK

    Jurgen E. Schneider

  7. Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK

    Carlos Afonso & Vicente Grau

Authors
  1. Matthew Gibb
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  2. Rebecca A. B. Burton
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  4. Carlos Afonso
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  5. Tahir Mansoori
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  7. Davig J. Gavaghan
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  8. Blanca Rodriguez
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  9. Jurgen E. Schneider
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  10. Peter Kohl
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Editor information

Editors and Affiliations

  1. School of Information Systems, Computing and Mathematics, Brunel University, UB8 3PH, Uxbridge, UK

    David Gilbert

  2. Computer Science Institute, University of Technology, 03013, Cottbus, Germany

    Monika Heiner

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© 2012 Springer-Verlag Berlin Heidelberg

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Gibb, M. et al. (2012). Resolving the Three-Dimensional Histology of the Heart. In: Gilbert, D., Heiner, M. (eds) Computational Methods in Systems Biology. CMSB 2012. Lecture Notes in Computer Science(), vol 7605. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33636-2_2

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  • DOI: https://doi.org/10.1007/978-3-642-33636-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33635-5

  • Online ISBN: 978-3-642-33636-2

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