Agilent Technologies had five patents in artificial intelligence during Q4 2023. Agilent Technologies Inc filed a patent for a computer-implemented method to train a virtual stainer machine learning model. The method involves creating an imaging multi-record training dataset with images of tissue samples stained with removable and permanent stains, and training the model to generate virtual images depicting the permanent stain based on input images of the removable stain. GlobalData’s report on Agilent Technologies gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Agilent Technologies grant share with artificial intelligence as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Synthetic generation of immunohistochemical special stains (Patent ID: US20230368504A1)

The patent filed by Agilent Technologies Inc. describes a computer-implemented method for training a virtual stainer machine learning model. This method involves creating an imaging multi-record training dataset that includes a first image of tissue stained with a removable stain and a corresponding second image of the tissue stained with a permanent stain. The virtual stainer machine learning model is then trained on this dataset to generate a virtual image showing the permanent stain based on an input image showing the removable stain. The method also includes creating multiple training datasets with different permanent stains and training multiple virtual stainer machine learning models on these datasets.

Furthermore, the patent outlines a process for generating images of virtually stained tissue by feeding a target image of tissue stained with a removable stain into the trained virtual stainer machine learning model. This results in obtaining a synthetic image of the tissue stained with a permanent stain. The patent also covers the use of generative adversarial networks (GANs) in the virtual stainer machine learning model training process. Additionally, the patent describes the application of this method to different types of tissue samples and permanent stains, such as immunohistochemistry (IHC) markers like PDL1 and HER2. Overall, the patent details a comprehensive and innovative approach to training virtual stainer machine learning models for generating images of tissue stained with permanent stains based on images of tissue stained with removable stains.

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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.