Quantification of spatial parameters in 3D cellular constructs using graph theory

A. W. Lund, C. C. Bilgin, M. A. Hasan, L. M. McKeen, J. P. Stegemann, B. Yener, M. J. Zaki, G. E. Plopper

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Multispectral three-dimensional (3D) imaging provides spatial information for biological structures that cannot be measured by traditional methods. This work presents a method of tracking 3D biological structures to quantify changes over time using graph theory. Cell-graphs were generated based on the pairwise distances, in 3D-Euclidean space, between nuclei during collagen I gel compaction. From these graphs quantitative features are extracted that measure both the global topography and the frequently occurring local structures of the tissue constructs. The feature trends can be controlled by manipulating compaction through cell density and are significant when compared to random graphs. This work presents a novel methodology to track a simple 3D biological event and quantitatively analyze the underlying structural change. Further application of this method will allow for the study of complex biological problems that require the quantification of temporal-spatial information in 3D and establish a new paradigm in understanding structure-function relationships.

Original languageEnglish (US)
Article number928286
JournalJournal of Biomedicine and Biotechnology
Volume2009
DOIs
StatePublished - 2009

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Health, Toxicology and Mutagenesis

Fingerprint Dive into the research topics of 'Quantification of spatial parameters in 3D cellular constructs using graph theory'. Together they form a unique fingerprint.

  • Cite this

    Lund, A. W., Bilgin, C. C., Hasan, M. A., McKeen, L. M., Stegemann, J. P., Yener, B., Zaki, M. J., & Plopper, G. E. (2009). Quantification of spatial parameters in 3D cellular constructs using graph theory. Journal of Biomedicine and Biotechnology, 2009, [928286]. https://doi.org/10.1155/2009/928286