Provides modular whole slide imaging systems that integrate edge AI and inline quality assurance to automate slide scanning, rescan errors, and execute real-time analysis during the scanning process. This reduces manual quality control, maximizes scanner utilization, and accelerates digital pathology workflows by handling up to 960 slides per batch with minimal operator intervention.
Funding
$39M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MCFounders
Product
Problem
Traditional pathology labs face challenges in slide loading, label handling, focus point selection, and artifact handling, leading to increased manual adjustments by operators. Manual quality control is burdensome, requiring trained personnel to identify errors, while scanner capacity remains underutilized due to single-slide scanning. Cloud-based image analysis can be restrictive, costly, and slow due to large data transfers.
Solution
Pramana provides modular whole slide imaging (WSI) systems that automate slide scanning, error rescanning, and real-time image analysis during the scanning process. The systems feature identical optical paths, uniform software, and a scalable design where additional scanner heads can be integrated. Pramana's systems handle various slide types without user intervention, incorporating inline quality assurance with autonomous rescanning and edge AI for real-time feature detection and classification. This approach reduces manual quality control, maximizes scanner utilization, and accelerates digital pathology workflows.
Target Audience
The primary customers are pathology labs and medical centers seeking to automate and streamline their digital pathology workflows, as well as life science organizations and diagnostic laboratories aiming to leverage enriched, high-quality data for research and clinical operations.
Features
- Modular and scalable WSI systems with customizable layouts and slide basket configurations
- Autonomous operation capable of handling challenging slides without user intervention
- Inline quality assurance with fully autonomous rescanning
- Edge AI for real-time feature detection, quantification, and classification during scanning
- Volumetric imaging technique enhancing image quality and scanning efficiency
- Compatibility with various specimen types, including tissue, cytology, bone marrow, microbiology, and wet mount samples
- Support for DICOM, OME-TIFF, and DZI WSI output formats
- High-resolution scanning at 0.25 microns per pixel at 40x magnification