Multi-scale investigation of human renal tissue in three dimensions

Histopathology as a diagnostic mainstay for tissue evaluation is strictly a 2D technology. Combining and supplementing this technology with 3D imaging has been proposed as one future avenue towards refining comprehensive tissue analysis. To this end, we have developed a laboratory-based X-ray method...

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Veröffentlicht in:IEEE transactions on medical imaging 2022-12, Vol.41 (12), p.1-1
Hauptverfasser: Busse, M., Ferstl, S., Kimm, M. A., Hehn, L., Steiger, K., Allner, S., Muller, M., Drecoll, E., Burkner, T., Dierolf, M., Gleich, B., Weichert, W., Pfeiffer, F.
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Sprache:eng
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Zusammenfassung:Histopathology as a diagnostic mainstay for tissue evaluation is strictly a 2D technology. Combining and supplementing this technology with 3D imaging has been proposed as one future avenue towards refining comprehensive tissue analysis. To this end, we have developed a laboratory-based X-ray method allowing for the investigation of tissue samples in three dimensions with isotropic volume information. To assess the potential of our method for micro-morphology evaluation, we selected several kidney regions from three patients with cystic kidney disease, obstructive nephropathy and diabetic glomerulopathy. Tissue specimens were processed using our in-house-developed X-ray eosin stain and investigated with a commercial microCT and our in-house-built NanoCT. The microCT system provided overview scans with voxel sizes of 14.8 μm and the NanoCT was employed for higher resolutions including voxel sizes from 1.4 μm to 210 nm. We present a methodology allowing for a precise micro-morphologic investigation in three dimensions which is compatible with conventional histology. Advantages of our methodology are its versatility with respect to multi-scale investigations, being laboratory-based, allowing for non-destructive imaging and providing isotropic volume information. We believe, that after future developmental work this method might contribute to advanced multi-modal tissue diagnostics.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2022.3214344