1. A new computational method for hepatic fat microvesicles counting in histological study in rats.
- Author
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Sabarense CM, Rocha KS, Rosa DD, Martins JH, Pereira MM, Silva FF, and Steward BL
- Subjects
- Algorithms, Animals, Computers, Dietary Fats administration & dosage, Dietary Fats analysis, Microvessels metabolism, Microvessels pathology, Rats, Rats, Wistar, Dietary Fats metabolism, Fatty Liver pathology, Histological Techniques, Image Interpretation, Computer-Assisted methods, Liver blood supply
- Abstract
Liver steatosis was once believed to be a benign condition, with rare progression to chronic liver disease. Thus, in both clinical and experimental practice, it is fundamental to have a reliable and objective method for its precise quantification. An image analysis algorithm was developed and validated for automatically and rapidly quantifying hepatic fat microvesicles. The image processing algorithms automatically segmented interstitial steatosis areas and analyzed the threshold region. Automatic quantifications did not significantly differ from manual evaluations of means of the same areas. Comparison of our image analysis quantifications with staging of histologic evaluations of liver steatosis presented significant correlations that are based on the distribution patterns and on the area quantity of steatosis, respectively. The use of algorithms for analysis and image processing is a sensitive, precise, objective and reproducible method of quantifying hepatic fat microvesicles, which complements semi-quantitative histologic evaluation systems., (Copyright © 2012 Elsevier Inc. All rights reserved.)
- Published
- 2012
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