Using machine learning and computer vision techniques to automatically identify and quantify all intracellular substructures & organelles in isotropic EM data
Ever wanted to learn how to segment organelles in vEM? Or how we (@COSEMdata/@CellMapPT) generate training data for ML efforts? Look no further! You can find it all here in our recent protocol https://t.co/XU366Y4QYy #teamscience#projectteams#openscience
Last Friday @CmHulbert presented #Paintera at #I2K2022 . Here, showing some beautiful @COSEMdata on https://t.co/DBh2VXj0kO
https://t.co/bQL3Wccoul
https://t.co/0gUAepFvQa
Some new updates on the site, including rearranging and cleaning up the dataset pages 🪄.
Also, did you know that you can open (or view) any of the datasets directly in @FijiSc using either File/Import/N5 or Plugins/BigDataViewer/N5 viewer? Check it out!
Come work with us at @HHMIJanelia with the new 🖌 Annotation & Analytics 📊 team https://t.co/ftM18s1OS4. This is a ✨ NEW ✨ multi-disciplinary team that will work with a variety of datasets (1/6)
#NewFeature alert! Now you can filter and sort available datasets on https://t.co/AsPswpdvqD. Happy browsing! Thanks @neomorphic and @davisvbennett for the continuous improvements to the site 🌠
2 Papers @Nature on the use of enhanced FIB-SEM to image cells and tissues at up to 4nm per voxel. The authors' AI-based analysis pipeline, which they used for reconstruction of 35 organelle classes, is available via OpenOrganelle
https://t.co/R45XV88XGw
https://t.co/NOONrgXYbL
It’s official! Our manuscript is out today in @Nature. 🥳 Additions since our preprint include a comparison of generalists trained on all training data vs specialists trained on subsets (spoiler alert: generalists win!) and #moreGolgi!
https://t.co/JK2WFMWvmM (1/3)
We’ve also gotten a facelift! 💁♀️ Browse all the related data for these papers and more - AND - volume renderings are now available for most segmentations. Check it out on https://t.co/2sHzCyO5zC !
Excited to share our work on ER-to-Golgi trafficking and the dynamic nano-anatomy of ER exit sites in mammalian cells! @chiluncellbio@avweigel (1/4) https://t.co/n96Rr7G9jX
Looks like I'll be spending a lot of time playing around with https://t.co/miQ8529h57 soon!
Great talk from @avweigel with such beautiful pictures (as always) at #AIM2021
what if you could explore biology in 3D, utilizing real data from microscopes? what if experts could easily create compelling VR experiences with their own data?
new version of @syGlassVR dropping in February 🔬