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2016
DOI: 10.1007/s11548-016-1378-3
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Stereological quantification of microvessels using semiautomated evaluation of X-ray microtomography of hepatic vascular corrosion casts

Abstract: The software QuantAn and its source code are openly available to researchers working in the field of stochastic geometry of microvessels in micro-CT scans or other three-dimensional imaging methods. The implemented methods comply with reproducible stereological techniques, and they were highly consistent with manual counting. Preliminary morphometrics of the classical hepatic lobules in pig were provided.

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Cited by 12 publications
(6 citation statements)
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“…With recent advances in high-resolution computed tomography (CT) technology, a pixel resolution close to 1 µm allows for morphometry of microvessels comparable with classical light microscopy. CC µ-CT scanning provides new data from the microvascular tree that can be used both for the mathematical modeling (Debbaut et al, 2014) or quantitative purposes (Jiřík et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…With recent advances in high-resolution computed tomography (CT) technology, a pixel resolution close to 1 µm allows for morphometry of microvessels comparable with classical light microscopy. CC µ-CT scanning provides new data from the microvascular tree that can be used both for the mathematical modeling (Debbaut et al, 2014) or quantitative purposes (Jiřík et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…; Jiřík et al. ). Moreover, quantitative data regarding the size and density of hepatocytes may also be combined with multi‐level modeling of hepatic perfusion (Debbaut et al.…”
Section: Discussionmentioning
confidence: 98%
“…The choice of the basic parameters to be quantified by our software generator was based on studies with real micro‐CT (Jiřík et al, ). This includes volume, surface, length, and number of objects, which are often expressed as relative densities calculated per ROI.…”
Section: Methodsmentioning
confidence: 99%
“…The three‐dimensional and quantitative nature of the micro‐CT makes it a tool of choice for estimating shrinkage of materials (Burey et al, ) and propagation of material fractures and cavitation (Neves, Coutinho, Alves, & de Assis, ). Some of the estimates are based on or fully compatible with stereological principles and spatial statistics (Baddeley & Jensen, ; Mouton, ; Stoyan, Kendall, & Mecke, ) and may be assessed automatically, provided the image data have a sufficient contrast (Jiřík et al, ; Mouton et al, ). However, surfaces are especially potentially sensitive to the settings of the micro‐CT scanning and further image postprocessing, such as resolution, noise, preferential spatial arrangement (anisotropy), filtration, and thresholding during binarization of grayscale images.…”
Section: Introductionmentioning
confidence: 99%