Image Analysis

Through appropriate noise reduction in images and movies, image processing and analysis technologies allow quantitative capture of the morphological changes or dynamics of the subjects, with the goal of elucidating the underlying biological principles. Compared to the rapid advancement of imaging technologies such as light microscopy, electron microscopy, and magnetic resonance imaging, progress in image processing and analysis has been slow. Consequently, many researchers have experienced difficulties in extracting meaning from captured images. Therefore, imaging science, which centers on the study of mathematical information and software (including development of methods for image processing, analysis, quantification, and display of data, as well as other technologies) has increased importance in the field of life science. Accordingly, in this category we provide support for extraction of information about morphology and dynamics captured by light microscopy, electron microscopy, magnetic resonance imaging, and similar approaches, with the goal of performing quantitative analysis and visualization, based on users’ applications and demands.