EXPLORE CELLS & TISSUE AT NM RESOLUTION: High res 3D-EM datasets, automated segmentations, & analyses of intracellular sub-structures and organelles

Virginia, USA
Joined October 2020
OpenOrganelle retweeted
Check out the ✨NEW✨ content on OpenOrganelle! Update includes: 📰A News page 🦠An updated Organelles page 🔍A new backend for dataset metadata which is now stored in a queryable PostgreSQL database openorganelle.janelia.org
OpenOrganelle retweeted
And another gorgeous rendering 🤩 by @philiphubbard : youtu.be/hfHO2DjpJSE
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OpenOrganelle retweeted
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 protocols.io/view/amira-anno… #teamscience #projectteams #openscience
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Check out all this amazing data on OpenOrganelle.Janelia.org!
Honored and humbled that our article was selected for the cover of @ScienceMagazine. The image of the T cell (red) attacking a cancer cell (white) is a digital reconstruction of 3D electron micrographs collected with collaborators @HHMIJanelia. Segmentation/rendering @ariadne_ai
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OpenOrganelle retweeted
At long last, the AIC is again accepting proposals! Advance your science with our revolutionary technology and expertise. Deadline is April 15, 2022. Visit aicjanelia.org/apply to get started. As always, please contact us for technical consultations before submission.
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!
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Research Highlight by @DrArunimaSingh: Researchers from @HHMIJanelia present methods for capturing whole cell EM images. @OpenOrganelle makes these FIB-SEM volumes, reconstructions and models freely available to the public. nature.com/articles/s41592-0…
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1:50 pm @avweigel will present EM organelle segmentation @OpenOrganelle (openorganelle.janelia.org/) 2:05 pm Susanne Rafelski will present the latest and the greatest from the @AllenInstitute (allencell.org/) 2/5
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OpenOrganelle retweeted
Come work with us at @HHMIJanelia with the new 🖌 Annotation & Analytics 📊 team tinyurl.com/5xxy2v95. This is a ✨ NEW ✨ multi-disciplinary team that will work with a variety of datasets (1/6)
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#NewFeature alert! Now you can filter and sort available datasets on OpenOrganelle.janelia.org. Happy browsing! Thanks @neomorphic and @davisvbennett for the continuous improvements to the site 🌠
OpenOrganelle retweeted
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 go.nature.com/3lhin4w go.nature.com/3oEsthG
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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 openorganelle.janelia.org !
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! rdcu.be/cy1UJ (1/3)
You can explore the all FIB-SEM data published here on OpenOrganelle.org!
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) authors.elsevier.com/c/1cv4P…
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Ein phänomenales Mikroskopie-Projekt (von @HHMIJanelia) veröffentlicht ganze Elektronenmikroskopische Datensätze von unterschiedlichen Zelltypen um die einzelnen Zellbestandteile zu visualisieren: openorganelle.org @OpenOrganelle
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Looks like I'll be spending a lot of time playing around with openorganelle.janelia.org/ soon! Great talk from @avweigel with such beautiful pictures (as always) at #AIM2021
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OpenOrganelle retweeted
This is dope!
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 🔬
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