2D Automated Analysis
Fast. Accurate. Repeatable.
Change the way you segment, classify and analyze images
Introducing the most efficient and repeatable process for analyzing complex measurements across multiple images and channels.
Powered by Machine Learning
Use Smart Segmentation Machine Learning to find and extract relevant regions per channel, properly classify, and accurately measure using an intelligent pixel classification recipe.
Multi-Channel by Design
Analyze relationships between and across multiple channels, wells/sites, and regions seeding the results of one channel with those of another.
Customizable Across Similar Routines
Adjust settings and then save new versions of any Protocol to create your own customized Protocol. Custom name your channels, segmentations, and results.
Easy, Repeatable Performance
Batch Process a folder full of single images or a single image set with many wells/sites contained within — delivering consistent and repeatable results every time.
Fast Analysis in Parallel
Multi-threaded processing runs analysis or multiple images in parallel across all available CPU Cores.
Relevant Data at your Fingertips
Quick access to powerful relationship data in Data Collector tables, Graphs, Charts, and Custom reports auto-generated for each Protocol.
See Protocols in Action
So Many Protocols to Choose From
Image-Pro's library of Protocols is rapidly expanding and making image analysis easier than ever. Each Protocol is packed with powerful analysis tools designed to deliver flexible and intuitive options.
Cell Biology Collection
Cell Biology Plus Collection
Smart Segmentation for Free Form Analysis
Whether using segmentation within a Protocol or as a free form segmentation tool, Image-Pro’s Smart Segmentation technology uses a proven method of pixel classification to identify hard-to-segment objects and regions. This Machine Learning-based method helps identify faintly colored objects, textured objects, and accounts for uneven backgrounds.
This is the foremost solution for gathering data from images and our simple stepwise approach is designed for ultimate flexibility to analyze nearly any image type while remaining simple to learn and train.
How it Works
A simple four-step process that uses a pixel classification algorithm to identify hard-to-segment objects and regions:
Works on Any Image Type
Measure whatever you want over time.
Auto Find objects with Threshold Segmentation
Add Manual Tracks as needed
Define a reference track to base measurements on
Compare multiple tracks
Auto Split touching objects into independent tracks
Allow shared objects between tracks
Account for objects coming in and out of focus
Direction by angle & coordinates
Objects Morphology over time
Common Tracking Applications
Choose from 144+ measurements to display in tables and graphs
Single Image Data Tables
Rename and adjust
Sort and condense
Group by measurement or class
Multi-Image Collected Data
Collect data automatically
Keep data linked to images
Group by image
Graph the results
Visualize Your Results
Like What You See?
Get Started with Image-Pro for 2D Automated Analysis