Sysmex had seven patents in robotics during Q4 2023. Sysmex Corp filed a patent for a surgical image providing method using a surgical robot, where a reconstructed image visualizes the operator’s actions on the operation target. Another patent was filed for a control method for a test system with a smear imaging unit, where smears are prepared, stored, and transported for imaging processing based on predetermined conditions. GlobalData’s report on Sysmex gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Sysmex grant share with robotics as a theme is 14% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Surgical image providing method using surgical robot, and information processing system (Patent ID: US20230404690A1)
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The patent filed by Sysmex Corp. describes a surgical image providing method using a surgical robot that involves obtaining a state log indicating the operation target's state, generating a reconstructed image based on the state log, and providing a surgical image where a motion image of the surgical robot or instrument is linked to the reconstructed image. The method visualizes the operator's actions during surgery, including movement of the operation target and operation timing, enhancing the understanding of the surgical process.
Furthermore, the patent includes various claims detailing specific aspects of the method, such as detecting the state of the operation target, generating schematic images showing movement degrees, and associating motion images with different reconstructed images. The method also involves providing information on the type of surgical instrument used, tracking attachment/detachment of instruments, and synchronizing motion and reconstructed images over time. Overall, the patent aims to improve surgical image visualization and understanding by integrating motion images with reconstructed images based on operator actions during surgery.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
