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Pramana

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About

Pramana, recently acquired by Evident, offers a "Digital Pathology 2.0" platform designed to modernize clinical and research laboratories through autonomous whole slide imaging. Traditional scanning processes often suffer from high manual intervention requirements, inconsistent focus, and underutilized hardware capacity. Pramana addresses these bottlenecks by providing a modular ecosystem that automates the entire digitization process—from slide loading and label handling to complex quality assurance. Its primary goal is to provide a stress-free, economical solution for high-volume pathology departments that need to convert physical specimens into digital assets with minimal error rates. The core of the technology lies in its hardware-software co-design, specifically its Volumetric Imaging and Edge AI capabilities. Unlike standard scanners that may struggle with artifacts like thick cuts or dirty coverslips, Pramana replicates the fine-focus function of an optical microscope by creating Z-stacks and fusing them into a single, fully focused image. Meanwhile, the integrated Edge AI executes feature detection, quantification, and classification algorithms in real-time during the scanning process. This means that results and quality checks are available immediately upon scan completion, rather than waiting for slow, costly cloud-based post-processing. The system is built for medical professionals and researchers across various disciplines, including anatomic pathology, cytopathology, and microbiology. It is particularly beneficial for large-scale clinical laboratories that manage high daily specimen volumes and require 24/7 reliability. Because it supports a wide array of specimen types—such as tissue biopsies, frozen sections, liquid-based cytology, and even bone marrow aspirates—it serves as a versatile tool for both standard diagnostics and advanced research studies. The modular design also allows institutions to start with a smaller footprint and expand as their workload increases. What distinguishes Pramana from competitors is its extreme modularity and "autonomous" ethos. The SpectralHT system allows labs to scale capacity by adding scan heads rather than replacing entire units, supporting up to 960 slides in a single configuration. Its unique compatibility with both proprietary Pramana baskets and industry-standard Sakura baskets ensures seamless integration into existing lab workflows without requiring significant changes to upstream systems. Furthermore, its ability to handle challenging slides (such as those with protruding labels or broken coverslips) without operator intervention significantly reduces the total cost of ownership while maximizing scanner uptime.

Pros & Cons

Supports a wide variety of specimen types including wet mounts and bone marrow.

Autonomous operation handles problematic slides like those with protruding labels or thick cuts.

Modular design allows labs to increase capacity by adding scan heads without buying new systems.

Inline QA and Edge AI provide immediate results and reduce reliance on manual review.

High throughput with a 4-head configuration capable of scanning 960 slides.

Currently listed as "Research Use Only" in the United States.

SpectralM configuration is limited to a maximum of 4 slides per load.

Cloud-based analysis is noted as being slower than the scanning process itself.

Use Cases

Pathology lab managers can utilize the SpectralHT system to automate high-volume slide processing, reducing the need for manual QC and operator intervention.

Research scientists can use the Edge AI capabilities to run feature quantification algorithms in real-time, accelerating data collection for large specimen cohorts.

Clinical technicians can swap between Pramana and Sakura baskets to maintain a flexible workflow without re-staining or re-mounting slides.

Platform
Web
Task
slide scanning

Features

edge ai

sakura basket compatibility

high-capacity scanning

real-time feature detection

dicom output support

modular configuration

autonomous rescanning

volumetric imaging

FAQs

What slide types are compatible with Pramana scanners?

Pramana's system is designed to handle tissue biopsies, frozen sections, cytology (Surepath, Thinprep), bone marrow aspirates, and microbiology slides. It can even process challenging specimens like wet mounts and human fecal trichrome.

How does the Edge AI feature improve lab efficiency?

Edge AI allows multiple feature detection and quantification algorithms to run locally on the scanner during imaging. This ensures results are ready as soon as the scan finishes, avoiding the latency and costs of transferring large image files to the cloud.

What happens if a slide fails to scan properly?

The system features inline quality assurance and a dedicated "reject basket" for slides that fail to scan effectively. This allows for fully autonomous rescanning or rapid manual intervention without stopping the entire production line.

Is the system compatible with third-party software?

Yes, the platform is designed to be interoperable with various Image Management Systems including Proscia, Gestalt, PathPresenter, Techcyte, and Corista. This vendor-neutral approach ensures images fit into any existing diagnostic workflow.

What output formats does the scanner support?

The scanners generate whole slide images in industry-standard formats, including DICOM, OME-TIFF, and DZI. This ensures that files are compatible with most viewing software and can be easily archived or shared for research.

Pricing Plans

SpectralHT 4-Head
Unknown Price

960 Slide capacity

8 Pramana Baskets

320 Sakura Basket support

4 Scan heads

Autonomous operation

Edge AI integration

DICOM/TIFF/DZI output

SpectralHT 2-Head
Unknown Price

480 Slide capacity

4 Pramana Baskets

320 Sakura Basket support

2 Scan heads

Autonomous operation

Inline quality assurance

SpectralM
Unknown Price

4 Slide capacity (1x3 slides)

2 Slide capacity (2x3 slides)

Volumetric imaging

Compact footprint

Edge AI ready

Multi-specimen support

Job Opportunities

There are currently no job postings for this AI tool.

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