AI-Enabled Digital Pathology Scanner Provides Real-Time Predictive Analysis
Posted on 01 Jun 2022
A digital pathology scanner has inbuilt intelligence to scan, index and analyze pathological samples simultaneously, allowing the end-user to view the whole slide scanned image along with analyzed output as an overlay during their review process.
The OS-SiA AI-enabled digital pathology scanner from OptraSCAN, Inc. (San Jose, CA, USA) automatically identifies specimens to scan and simultaneously analyzes the tissue or cell area being scanned. OS-SiA is the industry's first AI-enabled digital scanner that will provide real-time predictive analysis and actionable insights.
OS-SiA can be embedded in the existing series of its cloud-enabled brightfield scanners namely OS-Lite & OS-Ultra. The custom algorithms provide real-time ROI detection while scanning, cell quantification for IHC/HNE markers, and morphological measurements built using the core library. The whole slide image can be viewed in a local / web-based / cloud-based image viewer. The deep learning computational module is provided for self-learning in the scanning device. OptraSCAN has been granted a US patent for its OS-SiA digital pathology scanner for scanning, indexing and analyzing of the tissue area at the same time.
"Currently, the digital pathology slide scanners are restricted to partial or whole slide image acquisition and digitization into an image. Our next-generation scanner OS-SiA scans and analyzes simultaneously eliminating the need for additional processing applications," said Abhi Gholap, Founder & CEO, OptraSCAN. "This patent highlights our constant efforts to improve the adoption of digital pathology solutions and support the pathology community."
"This is the kind of breakthrough we need to accelerate the adoption of digital pathology, simultaneous scanning and analysis will help pathologists make faster decisions and improve patient outcomes," added Dr. Zu-Hua Gao MD, Medical Advisor at OptraSCAN and Chair - Pathology, University of British Columbia.
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OptraSCAN, Inc.
