top of page

SVISION is awarded two new patents with broad coverage for AI microscopy applications

SVISION is awarded two new patents with broad coverage for AI-enabled image segmentation and pattern recognition.

BELLEVUE, WA, US, March 4th, 2021 - SVISION LLC, the world’s leading AI microscopy software company, a pioneer in AI-enabled computer vision and the creator of Aivia has been issued two new US patents covering parameter free image pattern recognition as well as fast, guided training and applying of deep neural networks for semantic segmentation.

AI-enabled image analysis and knowledge creation solutions continue to revolutionize the life science and bio pharma fields thus accelerating scientific discoveries and the development of novel therapeutics. The latest inventions by SVISION addresses two major bottlenecks related to the deployment and adoption of AI-enabled computer vision solutions.

Automated parameterization image pattern recognition method.

10,769,432 (September 8th, 2020)

A typical image pattern recognition processing flow includes the segmentation of pattern regions from images, the detection of patterns of interest and the classification of patterns into different classes. The state-of-the-art image pattern recognition tools require a user to have a good understanding of image processing algorithms and master several user-facing parameters before one can efficiently use the tools. The new patent covers a complete parameter-free image segmentation, pattern detection and classification pipeline. In this pipeline, image segmentation, pattern detection and classification parameters are automatically learned from the image data itself. The user only needs to define the patterns of interest (e.g. a cell type or phenotype) by labeling a few representative patterns in learning images. The trained pipeline can be applied without any parameter settings to any number of images and the internal pipeline parameters can also be updated by additional learning. This approach has now been deployed for all users of Aivia’s and AiviaWeb’s Pixel Classifier.