In biomedical imaging, evaluation of imaging data has long been performed by human intuitive vision and exhaustive manual analyses. However, quantitative and reproducible methods are required for the analysis of large-scale multidimensional image data. This study aims to develop automated methods for the analysis of structure and motion from multidimensional image data. By introducing computer vision techniques, we develop versatile image analysis software for various biological phenomena at the cellular, tissue and organism levels.
Atsushi TAMADA
Kansai Medical University
