@COSEMdata

Using machine learning and computer vision techniques to automatically identify and quantify all intracellular substructures & organelles in isotropic EM data

Virginia, USA
Joined November 2020
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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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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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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Check out the new feature on OpenOrganelle.janelia.org!
#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 🌠
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Still hiring for these positions at Janelia!
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…
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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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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
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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)
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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 ]
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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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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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Meet Aubrey Weigel! @avweigel leads the @COSEMdata Team at @HHMIJanelia which is developing ML approaches to automatically identify & quantify all intracellular structures in FIB-SEM datasets of mammalian cells 🔬👩🏻‍💻 Happy #WomenScienceDay! #womenatjanelia #womeninscience 3/4
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Meet Lorena Benedetti!@LorenaBenedet15 is a postdoc in the Ryan & @jls_lab at @HHMIJanelia. She studies the role of the endoplasmic reticulum at the nerve terminal 🧫🔬👩🏻‍💻 Happy #WomenScienceDay! #womenatjanelia #womeninscience 2/4
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Meet Helen Farrants! @HelenFarrants is a postdoc in the @ERSchreiter lab at @HHMIJanelia. She is developing bright #biosensors for imaging neuronal activity in living organisms 🧪🌈🧑🏼‍🔬 Happy #WomenScienceDay! #womenatjanelia #womeninscience 1/4
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Amazing presentation at #AIMicroscopy Symposium: "Automatic whole cell organelle segmentation in volumetric electron microscopy" @avweigel @HHMIJanelia @BogovicJohn @herrsaalfeld @herrsaalfeld et al. openorganelle.janelia.org #Unet #deeplearning #microscopy
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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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