Dragonfly Daily 12 Clip/Crop, Invert, Convert and Resample with Dragonfly (2020) скачать в хорошем качестве

Dragonfly Daily 12 Clip/Crop, Invert, Convert and Resample with Dragonfly (2020)

Hosted by Mike Marsh, Dragonfly Product Manager at ORS Download and Get Started with Dragonfly https://www.theobjects.com/dragonfly/... This is lesson 12 in an ongoing daily tutorial series that teaches new users how to become Dragonfly experts in no time. This lesson introduces users to Clip/Crop, Invert, Convert and Resample with Dragonfly Watch the Playlist with all of the Dragonfly Daily tutorials on YouTube http://orss.ca/ytp2 Topics in this tutorial Lesson #12 Clip/Crop, Invert, Convert, Resample 1-Convert 2-Invert -Invert intensity -Invert axes and swap axes 3-Resample -Change the scale (pixel size) -Interpolation will occur (unless pixel size is a 2x factor) -Resample from -Resample panel -Resample Geometry menu item 4-Crop is to “cut down” your sample from the edges No resampling when cropping Clip is just a 3D visualization effect 5-Extract StructuredGrid forces a Resample Let's Connect 🡆 Twitter-   / orsdragonfly3d   🡆 LinkedIn:   / object-research-systems   🡆 ORS Website: ORS Website: https://www.theobjects.com 🡆 Sales-related inquiries: sales@theobjects.com 🡆 Support: support@theobjects.com 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