Design based stereology method for counting organelles registration#
LIP model framework applied to fast registration of images acquired from a moving camera under variable lighting.
Effect of bone morphogenic protein 7 and osteoprotegerin on bone formation in the expanded inter-premaxillary suture in rats.
Brightness spatial stabilization in the LIP framework.
Multiscale tomography study of eutectic structures in aluminium silicon foundry alloys.
Stereological and pathological study on the ultrastructure of Vero cells infected enterovirus 71.
Design based stereology method for counting organelles crack#
STIT tessellations – A reference model for random division processes, fragmentation and crack structures.
Stochastic modeling of 3D fiber systems with fiber bundles and parameter estimation from CT image data.
Design based stereology method for counting organelles skin#
A new LIP framework metric applied to analysis of multispectral acquisition of in-vivo skin.
A multi-scale and morphological gradient preserving contrast.
Measurement of airway lumen in video bronchoscopy.
Fast time resolved micro-CT imaging: visualizing dynamic pore scale processes at high resolution.
Torsion of particle trajectories trough pore space and its estimation using information on local pixel configurations.
Analysis of reinforcing particles distribution in composite die-cast pistons.
Image analysis characterization of the lymph/angiogenesis in experimental models and clinical studies.
3D characterization of iron ore pellets by X-ray microCT.
Conclusion: The strategy here presented provides a reliable method for accessing the N of HEP (distinguishing MnHEP from BnHEP) in situations in which these parameters are relevant, namely for evaluating the magnitude of an hyperplastic liver response from its very early onset. The N of NHC was estimated as 1.31 × 109 (CE=0.02). BnHEP represented 26% of total HEP number. Results: The N of HEP was estimated to be 1.93 × 109, with a coefficient of error (CE) of 0.02, corresponding to 129 × 106 HEP/g of liver. Because biliary canaliculi were then marked, an unequivocal counting of mononucleated hepatocytes (MnHEP) and BnHEP was allowed. Those sections were immunostained with polyclonal antibodies against carcinoembryonic antigen. For obtaining systematic uniform random sections (30 μm thick), a smooth fractionator sampling scheme was applied to the liver of five male Wistar rats (3 month old). Methods: In this study, we combined immunocytochemistry with sound design‐based stereology for estimating the N of HEP and the N of non‐hepatocytic cells (NHCs). The establishment of sound technical guidelines and baseline quantitative data in non‐pathological conditions are relevant to properly evaluate HEP hyperplasia and BnHEP responses. Rocha, EduardoĪbstract: Background/Aims: Hepatocytes (HEP) have been the major target for structural quantification in the liver, but an estimation of their total number (N), their percentage in relation to the global number of liver cells and the evaluation of the percentage of binucleated hepatocytes (BnHEPs) have never been performed with modern design‐based stereological techniques. Design‐based stereological estimation of hepatocyte number, by combining the smooth optical fractionator and immunocytochemistry with anti‐carcinoembryonic antigen polyclonal antibodies Design‐based stereological estimation of hepatocyte number, by combining the smooth optical.