Question 1

What is Univisual?

Accepted Answer

Univisual is an AI-powered cell counting and quantification platform designed for microscopy image analysis. It uses advanced deep learning to automatically detect, segment, and count cells in microscopic images with high accuracy.

Question 2

What types of staining does Univisual support?

Accepted Answer

Univisual supports multiple staining types including H&E (Hematoxylin and Eosin), Fluorescent imaging, and DAB/IHC (Immunohistochemistry). Each staining type has optimized detection algorithms.

Question 3

Do I need to install any software?

Accepted Answer

No. Univisual is a web-based platform that runs entirely in your browser. There is no software to install and no extensive study time required. Simply upload your microscopy image and start analyzing.

Question 4

How accurate is the AI cell detection?

Accepted Answer

Univisual achieves 98.9% detection accuracy across various cell types and staining methods. The platform also supports expert-in-the-loop correction for maximum precision.

Question 5

Can Univisual handle large images?

Accepted Answer

Yes. Univisual supports large, multi-gigapixel microscopy images. The platform is optimized to process high-resolution whole-slide images efficiently.

Question 6

What does the Pro plan include?

Accepted Answer

The Pro plan includes unlimited AI cell analysis, priority processing, advanced segmentation methods, and full export capabilities. Plans start at $29/month or $279/year.

Literature & Papers

Medical SAM3 - A Foundation Model for Universal Prompt-Driven Medical Image Segmentation

Deep Learning in Microscopy

Automated Cell Counting Algorithms

The Future of Digital Pathology

Optimizing Mask R-CNN for Cell Detection