Résumé
The effect of prenatal malnutrition on the anatomy of the corpus callosum was assessed in adult rats (45-52 days old). In the prenatally malnourished animals we observed a significant reduction of the corpus callosum total area, partial areas, and perimeter, as compared with normal animals. In addition, the splenium of corpus callosum (posterior fifth) showed a significant decrease of fiber diameters in the myelinated fibers without changing density. There was also a significant decrease in diameter and a significant increase in density of unmyelinated fibers. Measurements of perimeter's fractal dimensions from sagittal sections of the brain and corpus callosum did not show significant differences between malnourished and control animals. These findings indicate that cortico-cortical connections are vulnerable to the prenatal malnutrition, and suggest this may affect interhemispheric conduction velocity, particulary in visual connections (splenium).
Sujets)
Animaux , Femelle , Mâle , Grossesse , Rats , Corps calleux/anatomie et histologie , Malnutrition/anatomopathologie , Neurofibres/ultrastructure , Effets différés de l'exposition prénatale à des facteurs de risque/anatomopathologie , Poids/physiologie , Groupes témoins , Corps calleux/physiologie , Malnutrition/physiopathologie , Neurofibres myélinisées/ultrastructure , Effets différés de l'exposition prénatale à des facteurs de risque/physiopathologie , Rat Sprague-DawleyRésumé
The possibility of characterizing the proximal convoluted tubuli of the dog kidney by means of a unique and objective value, is an attractive idea in order to automate its recognition in anatomy and patology. For this, we obtained a fractal dimension of the proximal convoluted tubuli in the dog kidney by mean box-counting method. The fractal value we obtained is a flat dimension, and it is different than the line fractal dimension of the dog kidney arterial pattern, which was previously calculated by us (Gil et al., 2006). Thus, from optical microscopy images, we are able to obtain a single quantitative measure to discriminate these dog kidney components. This measures can use to automate its recognition. Fractal geometry provides many advantages when examining the complex microscopical images of natural objects.
La posibilidad de caracterizar los túbulos contorneados proximales del riñón de perro, mediante un valor único y objetivo, es una idea interesante para automatizar su reconocimiento en anatomía y en patología. Para ello, hemos obtenido la dimensión fractal de los túbulos contorneados proximales del riñón de perro, mediante la técnica de recuento de cajas. El valor fractal obtenido es una dimensión de superficie, diferente de la dimensión fractal lineal que calculamos previamente (Gil et al., 2006). De esta forma, desde imágenes microscópicas, nos es posible obtener una medida simple y cuantitativa para diferenciar estos compontes del riñón de perro. Esta medida puede usarse para automatizar su reconocimiento.
Sujets)
Animaux , Mâle , Chiens , Tubules contournés proximaux/anatomie et histologie , Algorithmes , Fractales , Rein/anatomie et histologieRésumé
We have developed a new algorithm to calculate the fractal dimension of dog kidney proximal convoluted tubule section. This algorithm is intermediate between box-counting and perimeter-stepping algorithms. The result of this new algorithm and correlations found between fractal dimensions and other Euclidian values of these tubuli, suggest that this algorithm is adequate to calculate fractal dimensions by points.
Hemos desarrollado un nuevo algoritmo para calcular la dimensión fractal de las secciones de los túbulos contorneados proximales del riñón de perro. Este algoritmo es promedio de los que emplean el recuento de cajas y la medida del perímetro. El resultado de las medidas con este nuevo algoritmo y las correlaciones encontradas entre sus valores de dimensión fractal y otros valores euclidianos de dichos túbulos, sugieren la adecuación de método para calcular la dimensión fractal referida a puntos.