Resolving the three-dimensional histology of the heart

Matthew Gibb, Rebecca A.B. Burton, Christian Bollensdorff, Carlos Afonso, Tahir Mansoori, Ulrich Schotten, Davig J. Gavaghan, Blanca Rodriguez, Jurgen E. Schneider, Peter Kohl, Vicente Grau

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationComputational Methods in Systems Biology - 10th International Conference, CMSB 2012, Proceedings
    Pages2-16
    Number of pages15
    DOIs
    Publication statusPublished - 30 Oct 2012
    Event10th International Conference on Computational Methods in Systems Biology, CMSB 2012 - London, United Kingdom
    Duration: 3 Oct 20125 Oct 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7605 LNBI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other10th International Conference on Computational Methods in Systems Biology, CMSB 2012
    CountryUnited Kingdom
    CityLondon
    Period3/10/125/10/12

      Fingerprint

    Keywords

    • Cardiac imaging
    • cardiac microstructure
    • histology
    • three-dimensional reconstruction

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Gibb, M., Burton, R. A. B., Bollensdorff, C., Afonso, C., Mansoori, T., Schotten, U., Gavaghan, D. J., Rodriguez, B., Schneider, J. E., Kohl, P., & Grau, V. (2012). Resolving the three-dimensional histology of the heart. In Computational Methods in Systems Biology - 10th International Conference, CMSB 2012, Proceedings (pp. 2-16). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7605 LNBI). https://doi.org/10.1007/978-3-642-33636-2_2