Applications Improve throughput and productivity, increase accuracy and standardize image analysis while driving innovation in Material and Life science. Use power of deep learning to accelerate research and stay ahead of your competition.
Material Examples Micrograph particle analysis and materials characterization are fundamental processes in most materials laboratories that support manufacturing, research and development (R&D), or quality assurance and control (QA/QC)
Have you tried machine learning to improve your image analysis?
Deep learning has exploded, and we use this technology to get:
- Increased efficiency through an automated workflow
- User-friendly interface without programming requirements
- Interactive graphic visualization with built-in reports
- Improved data confidence with more measured features without investing more time
- Support for over 150 different applications
- Flexibility to use optical, fluorescent, scanning electron microscopy images and CT datasets in both 2D and 3D

Why are metal customers choosing MIPAR?
Metal customers need MIPAR to characterize metals, develop new metals, understand the relationship between process and properties, identify and prevent failure, analyze and inspect parts, control the production process, or reduce the development cycle of metals.
MIPAR helps you to save project time and cost, automate analysis, reduce human error, and improve throughput, accuracy, and productivity.

Deep Learning Demo Video
How to use MIPAR’s Deep Learning Trainer:
* Tracing your images
* Training your model
* Applying your model.
MIPAR Demo
Get an in depth demo of MIPAR and explore the various workflows possible with this powerful tool. Learn the basics of using the tool and other helpuf tips and tricks
Overview of 3D Reconstruction
An overview of using MIPAR’s 3D tools to create, process, visualize, and measure a 3D reconstruction of your features of interest.
