Dragonfly Daily 22 Slice Analysis with Dragonfly (2020)
Автор: Dragonfly
Загружено: 2020-04-29
Просмотров: 3905
Hosted by Mike Marsh, Dragonfly Product Manager at ORS
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https://www.theobjects.com/dragonfly/...
This is lesson 22 in an ongoing daily tutorial series that teaches new users how to become Dragonfly experts in no time. This lesson introduces users to Slice Analysis with Dragonfly
Watch the Playlist with all of the Dragonfly Daily tutorials on YouTube
http://orss.ca/ytp2
Topics of this lesson
1-Pick any axis
-Warning: if you tip away from that axis, you don’t keep those results
2-Make measurements on Images or ROIs
Use a mask to restrict which pixel values are evaluated in the measurement, Checkbox: Check the box to specify the measurements you with to compute, Selection: Select measurements that you wish to see plotted
3-Interactively slice in 2D View or on Slice Analysis plot
4-Collaborate on Dual Energy?
Have core samples?, Have a medical CT scanner? Have access to reference materials? Calcite, quartz, etc? Email [email protected]
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
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