KARL STORZ SE has patented a method for enhancing medical imaging using an endoscope. The technique involves manipulating and splitting light into multiple portions, which are then focused onto separate image sensors, allowing for improved image analysis and processing. GlobalData’s report on KARL STORZ SE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on KARL STORZ SE, Surgical robots was a key innovation area identified from patents. KARL STORZ SE's grant share as of July 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Imaging method for endoscope systems using split light
The patent US12072483B2 outlines a novel imaging method designed for medical scopes, focusing on the efficient capture and processing of image light. The method begins by receiving image light in a substantially afocal state and directing it through a single optical channel. This light is then split into two portions, which are further processed through focusing optics to create focused images on two separate image sensors. The system ensures that the portions of light directed to each sensor do not overlap, allowing for distinct image capture. The method also includes steps for optical manipulation of the received light, which can involve altering aspects such as spectral content, polarization, intensity, and magnification of the light portions.
Additionally, the claims detail various manipulations that can occur during the splitting and focusing processes, enhancing the imaging capabilities. For instance, the method allows for the creation of images with different spectral characteristics and polarizations, which can be beneficial for medical diagnostics. The captured images can be further processed to generate a resultant image that combines data from multiple captured portions, thereby improving the overall quality and utility of the images produced. This innovative approach aims to enhance the functionality of medical imaging systems, providing clearer and more detailed images for diagnostic purposes.
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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.
