Three-dimensional characterization of HEK293 cell clusters using synchrotron-radiation-based micro-computed tomography
Müller, Bert, Riedel, Marco and Thurner, Philipp J. (2006) Three-dimensional characterization of HEK293 cell clusters using synchrotron-radiation-based micro-computed tomography. Microscopy and Microanalysis, 12, (2), 97-105. (doi:10.1017/S1431927606060168).
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Micro-computed tomography with the highly intense, monochromatic X rays produced by the synchrotron is a superior method to nondestructively measure the local absorption in three-dimensional space. Because biological tissues and cells consist mainly of water as the surrounding medium, higher absorbing agents have to be incorporated into the structures of interest. Even without X-ray optics such as refractive lens, one can uncover the stain distribution with the spatial resolution of about 1 [mu]m. Incorporating the stain at selected cell compartments, for example, binding to the RNA/DNA, their density distribution becomes quantified. In this communication, we demonstrate that tomograms obtained at the beamlines BW2 and W2 (HASYLAB at DESY, Hamburg, Germany) and 4S (SLS, Villigen, Switzerland) clearly show that the RNA/DNA-stained HEK 293 cell clusters have a core of high density and a peripheral part of lower density, which correlate with results of optical microscopy. The inner part of the clusters is associated with nonvital cells as the result of insufficient oxygen and nutrition supply. This necrotic part is surrounded by (6 ± 1) layers of vital cells.
|Digital Object Identifier (DOI):||doi:10.1017/S1431927606060168|
|Keywords:||micro-computed tomography, synchrotron radiation, HEK 293 cell cluster, DNA/RNA staining, 3D characterization, segmentation|
|Subjects:||T Technology > T Technology (General)
Q Science > QH Natural history > QH301 Biology
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences > Bioengineering Sciences
|Date Deposited:||16 Oct 2007|
|Last Modified:||31 Mar 2016 12:25|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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