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UC Berkeley
Advanced Bioimaging Center @ UC Berkeley retweeted
Our June issue is live! 🎉 nature.com/nmeth/volumes/23/… On the cover, an absolutely gorgeous image of neurites and mitochondria in a brain organoid, captured using the MOSAIC microscope. Paper here: nature.com/articles/s41592-0…
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Advanced Bioimaging Center @ UC Berkeley retweeted
One microscope, every scale. MOSAIC images life from single molecules to whole organisms: dividing cells, remodeling organelles, regenerating zebrafish, Alzheimer's tissue at the nanoscale, live mouse neural dynamics. Credit: Fu, Liu, Milkie, Ruan et al., Nature Methods (2026).
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Advanced Bioimaging Center @ UC Berkeley retweeted
Congrats to all 49 authors on the publication of our paper on the multimodal MOSAIC microscope, to be found here: nature.com/articles/s41592-0… A summary with movies I posted nearly a year ago can be found below.
1/ Better late than never, here’s a long thread of threads summarizing our MOSAIC preprint. If you’re curious about the process by which a new microscope is conceived and brought into the world, this is the thread for you. If you’ve come for eye candy, there’s plenty of that too below. biorxiv.org/content/10.1101/…
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We are recruiting an instrumentation scientist! aprecruit.berkeley.edu/JPF05…
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Advanced Bioimaging Center @ UC Berkeley retweeted
🔬🔦Check out our ‘Imaging spotlight’ on Volumetric Imaging via Photochemical Sectioning (VIPS) from @Ruixuan3, Srigokul Upadhyayula and colleagues. VIPS helps researchers scale super resolution imaging to large whole-mount tissues. focalplane.biologists.com/20…
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Advanced Bioimaging Center @ UC Berkeley retweeted
A new method called VIPS enables organ-wide nanoscale reconstruction for quantitative mapping of connectivity and molecular landscape in intact tissue. Learn more this week in Science: scim.ag/3LdbQqH
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Thrilled to share our Science cover! VIPS (volumetric imaging via photochemical sectioning) eliminates working-distance limits for whole-mount, nanoscale imaging. LLSM + photodegradable hydrogel + petabyte-scale compute → axons & myelin across mouse olfactory bulbs (WT vs NPC1).
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Advanced Bioimaging Center @ UC Berkeley retweeted
Adaptive optical vision Fourier transformer (AOViFT): a machine learning framework for inferring image aberrations and restoring diffraction-limited performance. nature.com/articles/s41592-0…
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Advanced Bioimaging Center @ UC Berkeley retweeted
1/ Better late than never, here’s a long thread of threads summarizing our MOSAIC preprint. If you’re curious about the process by which a new microscope is conceived and brought into the world, this is the thread for you. If you’ve come for eye candy, there’s plenty of that too below. biorxiv.org/content/10.1101/…
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Finally here! Our preprint on the MOSAIC, a multimodal adaptive optical microscope enabling non‑invasive in‑vivo imaging from molecules to organisms, is out. biorxiv.org/content/10.1101/… @Eric_Betzig @legant_lab
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Advanced Bioimaging Center @ UC Berkeley retweeted
The MOSAIC reconfigurable microscope by @Eric_Betzig et al is finally out! MOSAIC integrates multiple advanced imaging techniques including light-sheet, label-free, super-resolution, and multi-photon, all equipped with adaptive optics: biorxiv.org/content/10.1101/…
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Advanced Bioimaging Center @ UC Berkeley retweeted
Unlocking the potential to image petabyte-scale datasets 😵‍💫! From #CZBiohubSF Investigator Gokul Upadhyayula and co-corresponding authors & @BerkeleyMCB colleagues Xiongtao Ruan and @Eric_Betzig.
Out today from Ruan, Betzig, Upadhyayula and colleagues! PetaKit5D offers versatile processing workflows for petabyte-scale light sheet microscopy data. nature.com/articles/s41592-0…
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We are excited to introduce PetaKit5D, a comprehensive suite of software tools designed to tackle challenges in the handling of large datasets and make processing of petabyte-scale datasets feasible: nature.com/articles/s41592-0…
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PetaKit5D is a scalable and efficient software for processing large datasets from light sheet microscopy and other imaging modalities. It is available for use in MATLAB and Python, as well as a GUI that requires no coding. Try it and share your feedback! github.com/abcucberkeley/Pet…
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Advanced Bioimaging Center @ UC Berkeley retweeted
Almost everyone in microscopy (especially LSFM) talks about data deluge, but the tools haven't kept apace with the problems. Check out PetaKit5D for processing and analyzing your huge datasets!
Out today from Ruan, Betzig, Upadhyayula and colleagues! PetaKit5D offers versatile processing workflows for petabyte-scale light sheet microscopy data. nature.com/articles/s41592-0…
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