Rapid advances in microscopy technology have made it possible to observe multiple layers of biological phenomena and an important issue for life science is how to extract the biological meaning behind the morphology and dynamics of organisms from the vast amount of spatiotemporal image data acquired. The ABiS image analysis team consists of eight image analysis experts from seven research institutions, including Inter-University Research Institutes, national universities, and private universities. Each of the team members has a wide range of backgrounds in cell biology, developmental biology, systems biology, and information engineering, and they assist Grant-in-Aid recipients in extracting the biological meaning behind the image data acquired from multiple levels, such as molecules, cells, tissues, and individuals, and in the process of publishing their research papers. In the process, we provide tailor-made support by suggesting various observation methods and advising on the setting of image acquisition conditions using various microscopes, while engaging in in-depth interactive discussions with the recipient. In order to further improve the level of support, we develop applications and algorithms for image analysis while incorporating the latest AI technology.
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