July 2022 Workshop Video 3: Porosity of a cube of additively manufactured metal
This video showcases workflows for segmentation and analysis of porosity, using Otsu thresholding tools, ROI refinement tools such as "process islands", and feature analysis for quantitative analysis and visualization. The use of multiROI is introduced here for the first time in the workshop series. Let's Connect 🡆 Twitter-   / orsdragonfly3d  🡆 LinkedIn:   / object-research-systems  🡆 ORS Website: ORS Website: https://www.theobjects.com 🡆 Sales-related inquiries: [email protected] 🡆 Support: [email protected] About ORS Object Research Systems (ORS) develops deep learning powered 3D visualization and image analysis software. Dragonfly and Dragonfly Cloud, ORS’ flagship products, provide innovators from leading universities or industries, an advanced machine learning and neural networks based segmentation engine. Dragonfly's quantification tools then provide powerful options for counting, measuring, and characterizing image features, such as pores, fibers, grains, and much more. Its user-friendly experience translates its powerful and accurate quantitative findings in high-impact visuals. The ability to build fully automated workflows also enables reproducible results. #dragonfly #microscopy #deeplearning #imagesegmentation #microCT #FIBSEM #scientificimaging  #electronmicroscopy #imageprocessing

July 2022 Workshop Video 4: Fiber segmentation and analysis

Porosity Quantification for Additive Manufacturing How-to Using Dragonfly

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July 2022 Workshop Video 8: Machine learning segmentation of a 3-horned chameleon
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[Z Dragonfly Videos] Volume fraction dispersion of sandstone's pores (microCT image of porous media)

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[Webinar 2022-06-29] Deep Learning for segmentation in Dragonfly

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