Using machine learning and computer vision techniques to automatically identify and quantify all intracellular substructures & organelles in isotropic EM data
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 tinyurl.com/5xxy2v95. 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 OpenOrganelle.janelia.org. Happy browsing! Thanks @neomorphic and @davisvbennett for the continuous improvements to the site 🌠
We are looking for postdocs to do cool stuff with our upgraded mesoscope @HHMIJanelia. Now up to 50,000 neurons recorded simultaneously @ 3Hz in two planes. Full ad here: janelia.org/lab/pachitariu-l…
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/3lhin4wgo.nature.com/3oEsthG
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)
We are proud to share our work on segmenting up to 35 organelles & macromolecular structures in whole cell isotropic FIB-SEM at 4 & 8nm resolution biorxiv.org/content/10.1101/… 1/12
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 might also consider using the free version of syGlass. syglass.io/view
It's significantly better with a VR headset, but the rendering is so choice. [Data credit to @COSEMdata ]
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
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 🔬