Pathology AI Algorithms Deployed on Augmented Reality Microscope in Preclinical Study

Mumbai/Misgav/North Carolina — Life sciences Artificial Intelligence products and services company, AIRA Matrix (“AIRA Matrix”), and microscope-based digital pathology platform Augmentiqs (“Augmentiqs”), announced the world’s first pre-clinical deployment of deep-learning algorithms in an augmented reality microscope.

The partnership between AIRA Matrix and Augmentiqs will allow pathologists to deploy deep-learning AI algorithms directly in their existing microscope.

AIRA Matrix and Augmentiqs partnered together to deploy Artificial Intelligence (“AI”) based pathology algorithms directly within the microscope. In this deployment, the deep learning solution for fatty liver and myopathy tissue samples highlighted and quantified the region of interest as the slide was on the microscope stage, with results presented in real-time to the pathologist as augmented reality within the microscope eyepiece.

A Japanese organization sponsored the pre-clinical study, which took place at Integrated Laboratory Systems (“ILS”), a North Carolina Contract Research Organization.

As part of the peer review, Israel-based toxicologic pathologist Dr. Abraham Nyska reviewed the glass slides containing the myopathy tissue samples. For validation testing, fatty liver glass slides derived from academic research conducted at the Hebrew University of Jerusalem were also reviewed.

Dr. Nyska conducted the peer review on his microscope retrofitted with the Augmentiqs platform and applied AIRA Matrix’s AI algorithms to provide an immediate quantitative assessment of the tissue samples. ILS pathologists in North Carolina viewed the results in real time via a live telepathology application that is also deployed on the Augmentiqs system.

According to Dr. Nyska, “The pivotal study involved tissue samples which present challenges to pathologists in providing an accurate quantitative assessment. The ability to both deploy AI algorithms directly within the microscope, and to then share these results in real-time with the study pathologist overseas via telepathology, is an example of how digital pathology & AI could improve the quality and efficiency of pathology studies in a cost-effective manner.”

AIRA Matrix AI algorithm – fatty liver (Hematoxylin & Eosin staining)

Application of the AIRA Matrix AI algorithm (same microscopic field as the previous photo) – fatty liver. The Green colored overlay highlights the hepatocytes containing fatty vacuoles.

AIRA Matrix AI algorithm – myopathy, expressed by presence of rows of nuclei within the regenerated myofibers (Hematoxylin & Eosin staining)

Application of the AIRA Matrix AI algorithm (same microscopic field as the previous photo) – Myopathy. The Red colored overlay highlights the rows of newly formed nuclei in the regenerated myofibers

Following the successful deployment, ILS President Dr. David Allen commented, “Augmentiqs has taken a microscope-centric approach to digital pathology, having developed an Open-API platform that supports the deployment of telepathology, pathology software and AI algorithms within the existing microscope. As one of the first CROs to integrate Augmentiqs in its laboratory, ILS is delighted to take part in this study and offer our clients these digital pathology benefits for their preclinical studies.”

“We are excited to work with Augmentiqs to provide AI-based algorithms to the preclinical workflow. Our products and services are compatible with a wide variety of imaging hardware, and are developed with the goal of helping pathologists’ work processes. We are proud to help improve accuracy and consistency in pathology decisions,” said Chaith Kondragunta, CEO of AIRA Matrix.

AIRA Matrix will present initial outcomes of the study at the European Society of Toxicologic Pathology Congress 2019, taking place in Cologne, Germany from September 17-20, 2019.

At the Congress, AIRA Matrix will host a lunch symposium on AI in pathology to which all attendees are invited.

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About AIRA Matrix:

AIRA Matrix provides Artificial Intelligence applications for preclinical and clinical pathology. The company’s decision support products and services help improve work flow efficiency and increase diagnostic accuracy in research labs, drug discovery studies and clinics. Offerings from the company’s deep learning platform AIRAVAT include:

• Self-learning tools for routine detection and annotation tasks
• Pre-built deep-learning based feature identification applications
• Workflow efficiency solutions for histomorphometry, tissue triage, grading and inferencing
• Ready networks for easy DIY deep learning for the pathologist
• The platform is vendor-neutral, supports collaboration across teams and can be easily integrated with other digital laboratory solutions.

For more information, visit: www.airamatrix.com

About Augmentiqs

Augmentiqs is a platform for digital pathology functionality that operates within the existing microscope. Augmentiqs is used in toxicologic and clinical pathology for telepathology, image analysis and LIS integration.

For more information, visit www.augmentiqs.com.

About ILS

ILS delivers Toxicology Services for research and regulatory compliance needs. ILS is a provider of integrated, comprehensive, multidisciplinary support for clients needing toxicology support for research and regulatory compliance. ILS combines scientific excellence with efficient and effective management, handling everything from the everyday to the never-before-seen in a responsive and cost-effective manner.

• In Vitro Toxicology
• In Vivo Toxicology Pathology and Histology Genetic Toxicology
• Toxicogenomics
• Computational Toxicology

Headquartered in Research Triangle Park, North Carolina, ILS employs more than 100 scientists and support staff.

For more information, visit Integrated Laboratory Systems

Source:  Airamatrix.com