Introduction of Research

Modern microscopic techniques used in the biological and medical fields yield large amounts of imaging data that generally include multiple dimensions, such as depth and temporal axes. These specimens take on various shapes and are temporally unstable, thus making it difficult to quantitatively analyze biological specimens. To this end, we are developing algorithms and also applying machine-learning techniques for extracting image features out of multi-dimensional images for the purpose of conducting data analysis on bio-medical images. We are also embedding these techniques into the image processing pipeline to generate large amounts of imaging data. By combining these methodologies, we are aiming to create more efficient biological data analysis or medical diagnostic techniques.