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High-Resolution Imaging of Kidney Vascular Corrosion Casts with Nano-CT

Published online by Cambridge University Press:  02 December 2010

Roger Wagner*
Affiliation:
Department of Biological Sciences, University of Delaware, Newark, Delaware 19716, USA
Denis Van Loo
Affiliation:
UGCT, Department of Physics and Astronomy, Ghent University, Ghent, Belgium Department of Soil Management and Soil Care, Ghent University, Ghent, Belgium
Fred Hossler
Affiliation:
Department of Anatomy and Cell Biology, Quillen College of Medicine, East Tennessee State University, Johnson City, Tennessee, USA
Kirk Czymmek
Affiliation:
Department of Biological Sciences, University of Delaware, Newark, Delaware 19716, USA
Elin Pauwels
Affiliation:
UGCT, Department of Physics and Astronomy, Ghent University, Ghent, Belgium
Luc Van Hoorebeke
Affiliation:
UGCT, Department of Physics and Astronomy, Ghent University, Ghent, Belgium
*
Corresponding author. E-mail: Rags@udel.edu
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Abstract

A vascular corrosion cast of an entire mouse kidney was scanned with a modular multiresolution X-ray nanotomography system. Using an isotropic voxel pitch of 0.5 μm, capillary systems such as the vasa recta, peritubular capillaries and glomeruli were clearly resolved. This represents a considerable improvement over corrosion casts scanned with microcomputed tomography systems. The resolving power of this system was clearly demonstrated by the unique observation of a dense, subcapsular mat of capillaries enveloping the entire outer surface of the cortical region. Resolution of glomerular capillaries was comparable to similar models derived from laser scanning confocal microscopy. The high-resolution, large field of view and the three-dimensional nature of the resulting data opens new possibilities for the use of corrosion casting in research.

Type
Biological Applications
Copyright
Copyright © Microscopy Society of America 2011

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References

REFERENCES

Bentley, M.D., Ortiz, M.C., Ritman, E.L. & Carlos-Romero, J. (2002). The use of microcomputed tomography to study microvasculature in small rodents. Am J Physiol Reg Integrative Comp Physiol 282, 12671279.Google Scholar
Castenholz, A. (1995). Examination of injected specimens by confocal laser scanning microscopy and scanning electron microscopy. Scanning Microscopy 9, 12451254.Google Scholar
Czymmek, K., Wagner, R., Hossler, F. & Kao, R. (2001). Imaging and volumetric quantitation of vascular corrosion casts with laser scanning confocal microscopy. Microsc Microanal 6(S2), 562563 (CD-ROM).Google Scholar
Djoniv, V. & Burris, P. (2004). Corrosion cast analysis of blood vessels. In Methods in Endothelial Cell Biology, Augustin, H.G. (Ed.), Chap. 3, pp. 4760, Berlin, Heidlburg: Springer-Verlag.Google Scholar
Folarin, A.A., Konerding, M.A., Timonen, J., Nagl, S. & Pedley, R.B. (2010). Three-dimensional analysis of tumour vascular corrosion casts using stereoimaging and micro-computed tomography. Microvasc Res 80, 8998.Google Scholar
Kaczmarek, E. & Becker, R. (1997). Three dimensional modeling of renal glomerular capillary networks. Anal Quant Cytol Histol 19, 93101.Google Scholar
Lametschwandtner, A., Lametschwandtner, U. & Weiger, T. (1990). Scanning electron microscopy of vascular corrosion casts, techniques and applications: An updated review. Scanning Microscopy 4, 889941.Google Scholar
Marxen, M., Thornton, M., Chiarot, C., Klement, G., Kopruinikar, J., Sled, J. & Henkleman, R. (2004). Micro-CT scanner performance and considerations for vascular imaging. Med Phys 31(2), 305313.Google Scholar
Mondy, W., Cameron, D., Timmermans, J., DeClereck, N., Sasov, A., Casteleyn, C. & Piegl, L. (2009). Micro-CT of corrosion casts for use in the computer-aided design of microvasculature. Tissue Eng 15, 110.Google Scholar
Muller, B., Lang, S., Dominietto, M., Rudin, M., Schulz, G., Dehyle, H., Germann, M., Pfieffer, F., David, C. & Weitkamp, T. (2008). High resolution tomographic imaging of microvessels. Proceedings SPIE. Developments in X-Ray Tomography, Stock, S.R. (Ed.), 7078, pp. 110.Google Scholar
Rennie, B., Whitely, K., Kulandevelu, S., Adamson, S. & Sled, J. (2007). 3D visualization and quantification by microcomputed tomography of late gestational changes in the arterial and venous feto-placental vasculature of the mouse. Placenta 28(8), 833840.Google Scholar
Robertson, N., Faichild, P. & Waldeman, H. (2007). Ectopic transplantation under the kidney capsule. Meth Molec Biol 380, 347353.Google Scholar
Rodriguez-Baeza, A., Reina-Dela Torre, F., Ortega-Sanchez, M. & Sahuguillo-Barris, J. (1998). Perivascular structures in corrosion casts of the central nervous system: A confocal laser and scanning electron microscope study. Anat Rec 252, 176184.Google Scholar
Sled, J., Marxen, M. & Henkelman, R. (2004). Analysis of microvasculature in whole kidney specimens using micro-ct. Proceedings of SPIE. Developments in X-Ray Tomography, Bonse, U. (Ed.), 5535, pp. 5364.Google Scholar
Vlassenbroeck, J., Dierick, M., Massachaele, B., Cnudde, V., Van Hoorebeke, L. & Jacobs, P. (2007). Software tools for quantification of X-ray microtomography at the UGCT. Nucl Instrum Meth Phys Res A 580(1), 442445.Google Scholar
Wagner, R., Czymmek, K. & Hossler, F. (2005). Confocal microscopy, modeling and quantitation of corroded and noncorroded casts of microvascular systems. Microsc Microanal 11(S2), 12081209 (CD-ROM).Google Scholar
Wagner, R., Czymmek, K. & Hossler, F. (2006). Confocal microscopy, computer modeling and quantification of glomerular vascular corrosion casts. Microsc Microanal 12, 262268.Google Scholar
Wagner, R. & Hossler, F. (2008). Tomographic modeling of casted vascular systems. Infocus; Proc Royal Microscopal Society 11, 421.Google Scholar