Optimization of volumetric computed tomography for skeletal analysis of model genetic organisms

Sergio X. Vasquez, Mark S. Hansen, Ali N. Bahadur, Matthew F. Hockin, Gordon L. Kindlmann, Lisa Nevell, Isabel Q. Wu, David J. Grunwald, David M. Weinstein, Greg M. Jones, Christopher R. Johnson, John L. Vandeberg, Mario R. Capecchi, Charles Keller

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Forward and reverse genetics now allow researchers to understand embryonic and postnatal gene function in a broad range of species. Although some genetic mutations cause obvious morphological change, other mutations can be more subtle and, without adequate observation and quantification, might be overlooked. For the increasing number of genetic model organisms examined by the growing field of phenomics, standardized but sensitive methods for quantitative analysis need to be incorporated into routine practice to effectively acquire and analyze ever-increasing quantities of phenotypic data. In this study, we present platform-independent parameters for the use of microscopic x-ray computed tomography (microCT) for phenotyping species-specific skeletal morphology of a variety of different genetic model organisms. We show that microCT is suitable for phenotypic characterization for prenatal and postnatal specimens across multiple species.

Original languageEnglish (US)
Pages (from-to)475-487
Number of pages13
JournalAnatomical Record
Volume291
Issue number5
DOIs
StatePublished - May 2008
Externally publishedYes

Keywords

  • Embryogenesis
  • Fetus
  • Imaging
  • Mouse
  • Phenomics
  • Phenotyping
  • Volumetric x-ray computed tomography
  • microCT

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Biotechnology
  • Anatomy
  • Histology

Fingerprint

Dive into the research topics of 'Optimization of volumetric computed tomography for skeletal analysis of model genetic organisms'. Together they form a unique fingerprint.

Cite this