Using MIPAR in image analysis for material sciences

Webinar in French.

Tuesday 23 November - 14:00

Webinar objective

Rapid development of compounds relies on understanding the microstructure of their materials (grain size, porosity, morphology, etc.), a reliable manufacturing process, and in-depth performance analysis for different applications. To solve some of the industrial challenges (increasing throughput, providing defect-free products) and stay ahead of competitors, automated, reliable and intelligent analysis techniques are needed.

Using Deep Learning and a powerful image analysis engine, MIPAR enables users to perform fast, accurate and automated analysis of their images. In three simple steps: plot, train, and apply, researchers can create a model that identifies specific features, and then run custom parametric sheets on new images to detect complex features in one to two seconds.

In this webinar, you will learn about the MIPAR solution and how its powerful algorithm is able to provide solutions for researchers in the materials sciences.  

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Myriam Lamrani, PhD, MBAField Application Specialist – Ritme

Field Application Specialist | RITME

Alisa Stratulat, PhD

Program Manager | MIPAR Image Analysis