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Nice work everyone! Congrats!

In case you want to create similar, neural network aided segmentations of your crazy lab pets 🐕🐈🦖🦕🦠- check out SwuliusLab protocol of @OrsDragonfly3D, It helped us a ton! #teamtomo

NEW WEBINAR 💻 Best Practices and Approaches for Computed Tomography for #AdditiveManufacturing with Anton Du Plessis of Stellenbosch University and sunny sunny February 14 at 10:00 am ET amcoe.org/event/computed…

Join me for this webinar #Xray #tomography in #AdditiveManufacturing

Hi all,I’m looking for new role as #postdoc position in #imaging & #imageAnalysis domain,& would appreciate your support.Thanks in advance for any connections,advice,or opportunities you can offer. #OpenToWork #postdoctoral #academia #phdvoice #phdchat #AcademicChatter #science

#TomographyTuesday time again! Today’s Dragonfly #PublicationSpotlight is all about mineralogical mapping using CT combined with XRF. How to combine these powerful techniques? Deep learning of course. Read more: orss.ca/deepXFCT youtu.be/0rtXAjgPZOA

Come see my AI generated art at #bps2023! Multi-class UNet segmentaion of hippocampal neurons. Excited to be chosen as a finalist in the BPS2023 art contest! SwuliusLab @OrsDragonfly3D

Do you apply image analysis or machine learning to the interpretation of petrographic thin sections? If so, consider submitting a paper to this special issue of Minerals. lnkd.in/gT_GWEKG

King Tut gets examined by Dragonfly Software @OrsDragonfly3D! Prof Andrew Nelson of Western University used Dragonfly to process CT scans revealing details of the life of the famous King Tutankhamun. See the interview with Dr Nelson here youtube.com/watch?v=3Hi6GS… #tomography #archeology

Woohoo! It's happening! Our first Dragonfly Users Group Meeting! sunny sunny Users Group Meeting (hybrid) Ann Arbor, MI Apr 12-13, 2023 Registration at orss.ca/ugm23 in-person AND remote options

The first Dragonfly User Group Meeting is taking place in April! Join the fun! Learn from other users, from Dragonfly experts & present your own work. Read more here orss.ca/ugm23 and register to secure a spot. In-person AND remote options Ann Arbor, MI Apr 12-13, 2023

Beautiful multi-technique structural study and awesome sunny sunny segmentation!

Yes, team sunny sunny all the way! This is free for academic users, unlike a certain (pricey!) Thermo Fisher analogue.

Want to learn more about #deeplearning for #imagesegmentation in #scientificimaging? Join Mike Marsh, @DragonflyWizard, Wednesday, March 8, kicking off Rigaku's "Ask the Expert" #webinar series. imaging.rigaku.com/learning/x-ray…

This week's #PublicationSpotlight is all about #nanoscale correlative #imaging to study #bone #ultrastructure. “the deep learning toolset made a difference with respect to other software”. Read more: orss.ca/boneultra #3Dimaging #3D #science #microscopy Nadja Tarakina

Non-destructive imaging of a sea urchin shell, 3D visualization done in @OrsDragonfly3D. Do you want to do this kind of imaging yourself? Get in touch, or get Dragonfly today orss.ca/getDF #scanallurchins

The first ever @OrsDragonfly3D Webinar for Europe, Middle East and Africa, coming soon to a zoom account near you! Happy to be starting a quarterly #webinar series on May 4th at NOON CET, more info here mailchi.mp/260adc2a1e84/r… and register here us02web.zoom.us/webinar/regist… Join us!

Would you like to analyze your CT data like this? Learn how to do this with Dragonfly in the first ever Dragonfly Webinar for Europe on May 4th at 12.00 NOON CET, more info here mailchi.mp/260adc2a1e84/r…  And thanks to Comet Yxlon for the nice CT data!

@VolumeEM1 Monash University Thanks @VolumeEM1 for including us on the #volumeEM world map bit.ly/3xKN5bD Video of segmented #FIBSEM data of muscle fibres and mitochondria using @OrsDragonfly3D by Meagan McGrath and Denis Korneev

Today’s Dragonfly publication spotlight is about X-ray microscopy of batteries! Definitely a hot topic in the era of electric vehicles. Read more orss.ca/paper16 #Xray #tomography #TomographyTuesday #XRM #Batteries #hotpublication #nondestructive youtu.be/3dWWUMC_o8E