Ryoma Bise

Dai Nippon Printing (Japan), National Institute of Informatics, Kyushu University

Papers

Total Citations

H-Index

About

Ryoma Bise is a researcher whose work bridges computer vision and biomedical engineering, with key contributions in automated cell culture systems and multispectral image analysis. His most cited paper, "An Engineered Approach to Stem Cell Culture" (2011, 30 citations), tackles a critical bottleneck in regenerative medicine: the subjective, labor-intensive process of monitoring stem cell confluency. By developing a real-time adaptive subculture system, Bise introduced automation to reduce human error and variability, paving the way for more consistent, scalable cell production—a foundational step for clinical applications. In parallel, his work on wetness and color estimation from multispectral images (2017, 9 citations; 2019, 6 citations) addresses a practical challenge in autonomous systems: recognizing surface wetness to enhance safety for vehicles and robots. These studies demonstrate how spectral cues can differentiate wet from dry surfaces, with implications for autonomous navigation and quality inspection. While his citation counts reflect a focused, emerging impact, Bise’s contributions stand out for their interdisciplinary reach—from automating stem cell culture to enabling machines to perceive environmental hazards. His research exemplifies how engineering and vision science can solve real-world problems in healthcare and robotics.