RESUMO
Assessment of social interactions and behavioral changes in nonhuman primates is useful for understanding brain function changes during life events and pathogenesis of neurological diseases. The common marmoset (Callithrix jacchus), which lives in a nuclear family like humans, is a useful model, but longitudinal automated behavioral observation of multiple animals has not been achieved. Here, we developed a Full Monitoring and Animal Identification (FulMAI) system for longitudinal detection of three-dimensional (3D) trajectories of each individual in multiple marmosets under free-moving conditions by combining video tracking, Light Detection and Ranging, and deep learning. Using this system, identification of each animal was more than 97% accurate. Location preferences and inter-individual distance could be calculated, and deep learning could detect grooming behavior. The FulMAI system allows us to analyze the natural behavior of individuals in a family over their lifetime and understand how behavior changes due to life events together with other data.
Assuntos
Comportamento Animal , Callithrix , Animais , Humanos , Comportamento Social , Interação SocialRESUMO
Microscopic morphological findings in smeared and stained blood cells are difficult to be characterized quantitatively. However, a recent progress in digital image processing has been enabled to express some of these findings quantitatively. In this report, we propose the usefulness to determine "box" fractal dimension of nuclear image of lymphocyte. Fractal dimension was determined in digital 256-grayscale images of normal, atypical and leukemic lymphocytes by a box-counting method after extracting a nuclear image out of a cellular image, binalyzing and thinning it. The results suggest that fractal dimensions of nuclear images are mainly correlated with changes in chromatin appearance. Fractal dimension could be a useful quantitative parameter for cytological differentiation between normal and atypical lymphocytes.
