Revvity has been granted a patent for a method to detect errors during liquid aspiration. The method involves immersing a needle tip, aspirating liquid, and continuously monitoring pressure using sensor signals. An error is detected if the pressure falls below a threshold value. GlobalData’s report on Revvity 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 Revvity, Laboratory automation robots was a key innovation area identified from patents. Revvity's grant share as of January 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Method for detecting error state when aspirating liquid
The granted patent (Publication Number: US11867579B2) discloses a method and device for detecting an error state during the aspiration of a liquid. The method involves immersing the tip of an aspiration needle in the liquid, creating a negative pressure in the needle to aspirate a specific volume of liquid, and continuously monitoring a sensor signal curve that indicates the pressure in the needle over a defined time period. An error state is detected based on deviation measures and threshold values, with an error signal being generated upon detection.
Furthermore, the method includes aligning sensor and reference signal curves, specifying target aspiration volumes, generating reference signal curves based on modifications of base reference curves, and filtering sensor signals using mean value filters. The device comprises an aspiration needle, a movement device for needle manipulation, a pressure generator, a pressure sensor unit, and an activation and evaluation unit with interfaces to control these components. The unit is designed to detect error states based on sensor signal thresholds, deviation measures, and reference signal curves, ensuring accurate and reliable liquid aspiration processes.
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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.
