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About

Kelly Sakaki is a pioneering researcher in the intersection of robotics and cellular biology, best known for advancing automated single-cell manipulation technologies. Her core research areas include robotic cell manipulation, machine vision for biological applications, and sensor integration for autonomous systems. Sakaki’s most impactful contribution is the development of an autonomous biological cell manipulator with single-cell electroporation and visual servoing capabilities (2009, 38 citations), a foundational work that addresses the urgent need for robotic precision in complex biomedical experiments involving gene functions, cancer, and stem cell research. She further refined this work with a machine vision-based localization method for nucleic and cytoplasmic injection sites on low-contrast adherent cells (2011, 25 citations), and introduced a generalized tip-membrane contact detection algorithm using statistical process control (2012, 5 citations). Beyond cellular robotics, Sakaki contributed to multisensor integration in remote-brained robots (2002, 20 citations), demonstrating her versatility in robotics. Her work on the RoboSCell instrument (2009, 6 citations) highlights her commitment to translating research into practical tools for automated cell analysis. With a career bridging robotics and life sciences, Sakaki’s innovations continue to enable higher-throughput, more reliable single-cell studies.