Augmentiqs Augmented Reality Microscope (ARM)
Overview
Augmentiqs Augmented Reality Microscope (ARM) integrates augmented reality into existing microscopes, providing real-time access to digital pathology software, AI algorithms, and telepathology capabilities directly within the microscope’s field of view. This system transforms traditional light microscopes into smart, connected devices, enabling pathologists to work more effectively, connect remotely with colleagues, and conduct groundbreaking medical research. By operating from within the existing microscope, Augmentiqs eliminates the need to first digitize slides to access digital tools, offering a cost-effective solution for labs transitioning to digital pathology.
The Augmentiqs platform is designed with an Open API, allowing for multi-directional communication and integration with various digital systems and software, including electronic medical/health record (EMR/EHR) systems, image sharing, data management systems, and other software plugins. It supports the deployment of any digital pathology software algorithm, including popular tools like ImageJ, QuPath, Mindpeak, and AIRA Matrix. The system captures a live, high-resolution view of the region of interest, displaying digital information as augmented reality within the microscope eyepiece. This allows pathologists to interact with the specimen, perform measurements, annotate, count cells, and run AI algorithms without lifting their eyes from the microscope.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Augmented Reality Microscopy (ARM) for existing microscopes
- Real-time access to digital pathology software
- Integration of AI algorithms directly in the field of view
- Real-time telepathology for remote consultations and collaboration
- Microscope stage tracking for research and automation
- Manual slide scanning directly from the microscope
- Open API for integration with third-party software and algorithms
- High-resolution image capture and annotation tools
- LIS integration for real-time data transfer
- Cost-effective alternative to whole slide imaging
Use Cases
- Real-time telepathology for frozen sections, tumor boards, and peer review
- Computer-assisted diagnostics and quantitative image analysis (e.g., Ki-67, cell counting, color segmentation)
- AI training and deployment for pathology artificial intelligence developers
- Pathology education and live collaboration between remote locations
- Automated data collection and audit of microscope workflow
- Research and preclinical studies in pathology
What Physicians Need to Know
Leverage Augmentiqs ARM to integrate AI and digital tools directly into your existing microscopy workflow without the need for whole-slide scanning, saving time and cost. Utilize the real-time augmented reality overlays for quantitative analysis, cell counting, and critical case data to enhance diagnostic precision. Engage in real-time telepathology for immediate consultations and peer review, sharing live views and annotations with colleagues globally. Remember that the AR overlay can be toggled off to prevent alert fatigue. The system's ability to save annotated images and track slide data can be valuable for documentation and future reference.
Augmentiqs ARM is designed as an Open API system, allowing for integration with various digital pathology software, AI algorithms, and Laboratory Information Systems (LIS). It can deploy any AI algorithm directly within the live microscopy workflow and synchronize with Whole Slide Imaging (WSI) files for comprehensive data sets. The system is compatible with all infinity-corrected light microscopes. It operates on a PC with Windows 7 or higher, with recommended specifications for optimal performance.
Details
| Category | Clinical Decision Support & Reference, Pathology AI, Radiology & Imaging AI |
| Pricing | Unknown — unknown |
| Deployment | On-premise (integrated with existing microscopes and PC) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Unknown AI-estimated Augmentiqs is FDA Class I exempt. The FDA encourages the development of innovative, safe, and effective medical devices, including those that incorporate augmented reality and virtual reality (AR/VR). |
| Integrations | |
| EHR | Not specified |
| Specialties | Dermatology, Oncology, Pathology |
What the Web Says
The Augmentiqs Augmented Reality Microscope (ARM) transforms existing analog microscopes into smart, connected devices, enabling real-time digital pathology. It integrates augmented reality, AI, and telepathology capabilities directly into the pathologist's workflow, aiming to improve diagnostic accuracy and efficiency, particularly in cancer detection.
Overall: PositiveStrengths
- Cost-effective solution compared to full digital pathology systems, as it leverages existing microscopes.
- Enables real-time telepathology and collaboration with remote colleagues, even with limited internet bandwidth.
- Integrates AI and image analysis tools directly into the microscope's field of view, assisting with tasks like cancer detection and quantitative scoring.
- Improves diagnostic accuracy and efficiency, with studies showing increased agreement among pathologists when using AI-assistance.
- Maintains the optical quality and depth perception of traditional microscopy while adding digital functionalities.
- Open API allows for integration with various digital systems and software, fostering a versatile pathology ecosystem.
Limitations
- Some initial studies used accelerated computing units (like NVidia Titan Xp GPU) which might still be a cost challenge for widespread clinical adaptation.
- The microdisplay used in some prototypes had limited brightness, requiring adjustments to the microscope light source for adequate contrast.
- While improving efficiency, the technology still requires pathologists to adapt to a new workflow that integrates digital overlays.
- The technology is still relatively new, with many studies and deployments being recent or ongoing.
Based on reviews from: Augmentiqs Website, NoCamels, PubMed, PMC - NIH, arXiv, YouTube, Luminate, Kinetic Vision, Google Research, DataDrivenInvestor, Reddit
Last updated: 2026-09-10
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