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Core Technologies of Vivolight
The underlying technology platform of Vivolight is composed of three major sectors: medical laser, fiber optic catheter, and artificial intelligence. With these advanced technologies, we can use photons to perceive, image, regulate and intervene the human body in a minimally invasive manner at different time and space scales. The application scenario covers the whole process of healthcare, including prevention, screening, diagnosis, treatment, and rehabilitation.
Medical laser technology
Focusing on the development of various high-performance medical laser sources
Our R&D focuses on ultrafast fiber lasers, high-power solid-state lasers, and wavelength swept lasers, etc. The wavelengths cover multiple bands from ultraviolet to infrared, and the pulse duration spans more than ten orders of magnitude.. Among them, imaging lasers will be used for products such as optical coherence tomography system , while therapeutic lasers will be used in minimally invasive laser ablation and many other fields.
Fiber optic catheters
Focusing on the development of various high-performance fiber optic interventional catheters
Vivolight is one of the very few companies capable of design, simulation, processing, testing, and mass manufacturing of optical fiber and micro-optic systems , as well as the design and manufacturing of Class III medical interventional catheters and consumables. The good maneuverability of Vivolight’s fiber optic catheters ensures accurate photon transport and light field manipulation in the human pan-vascular system, tracts and even soft tissues, to achieve precise imaging and ablation.
Artificial intelligence technology
Focusing on the development of artificial intelligence technology at all levels
Always aiming to be highly embedded in products and continuously optimize users’ workflow, Vivolight’s artificial intelligence technology empowers users' information acquisition and clinical decision-making with integrated software and hardware solutions. This happens at all levels, from the enhancement of OCT signal and image quality, to the detection and segmentation of lumen and stent, from the automatic quantification of stent apposition to the automatic calculation of calcification, fractional flow reserve, and light attenuation coefficient.
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