GPU acceleration
Train Pixel Classifier up to 20x times faster with GPU-accelerated feature creation
Multi-session training
More robust Pixel Classifier outcome by training on multiple datasets
Python integration
Write your own image processing script in Python and use Aivia to run it
GPU Acceleration
Faster results
Performance comparison

Comparison based on apply time of the same Pixel Classifier on a 230 MB dataset (1024 x 1024 x 113).
Test system has a 3.6 GHz Intel i5-8600K Processor with 32 GB of RAM and Nvidia GTX 1060Ti graphics card with 6 GB of VRAM
Multi-session Training
Better Pixel Classifier
Media gallery
Python Integration
Customize using Python
Media gallery
Aivia Cloud 2.0
Take advantage of your local resources
Media gallery
More features and improvements
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Import spots and tracks into Aivia from CVS/text files
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Import DXF files from Reconstruct
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Support CZI and H5 files
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Site license management
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Various bug fixes
Contact us
Please fill in your contact details and tell us more about your research and image analysis requirements
Tel: 1-855-423-5577
15921 NE 8th St, Suite 200
Bellevue, WA 98008