Advanced Bioimaging Center @ UC Berkeley

We are recruiting an instrumentation scientist! aprecruit.berkeley.edu/JPF05253

🔬🔦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/2025/12/02/ima…

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

This work was made possible in part by support from @cziscience @czbiohub @SloanFoundation @BerkeleyLab @HHMINEWS @ThePhilomathia @NIH @NERSC

Read more here: science.org/doi/10.1126/sc… #ExM #LLSM #imaging #Neuroscience

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).

Adaptive optical vision Fourier transformer (AOViFT): a machine learning framework for inferring image aberrations and restoring diffraction-limited performance. nature.com/articles/s4159…

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/10.110…

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/10.110… @Eric_Betzig @legant_lab

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/10.110…

Unlocking the potential to image petabyte-scale datasets 😵‍💫! From #CZBiohubSF Investigator Gokul Upadhyayula and co-corresponding authors & @BerkeleyMCB colleagues Xiongtao Ruan and @Eric_Betzig.

This work was led by Xiongtao Ruan and Matthew Mueller @ABCUCBerkeley @Eric_Betzig @berkeleyMCB @LBNLBioSci @LBNLresearch, and supported by @ThePhilomathia @czi @cziscience @HHMINEWS @HHMIJanelia @NERSC @SloanFoundation

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/…

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/s4159…

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/s4159…

Neural space-time model (NSTM) was published this week in @naturemethods ! Check it out: nature.com/articles/s4159… It is a flexible and robust model to tackle motion blur and improve temporal resolution in computational cameras/microscopes.🧵👇

(1/x) We are excited to introduce VIPS (Volumetric Imaging of biological specimens via Photochemical Sectioning) in our preprint! VIPS uses a light-based process called “photochemical sectioning” to achieve petabyte-scale high/super-resolution imaging: biorxiv.org/content/10.110…

@Ruixuan3 @ChemistryatUIC @gaogroup1 @berkeleyMCB @LBNLBioSci @NIMHgov @thisisUIC @cziscience @HHMINEWS @ThePhilomathia @SloanFoundation @NERSC (14/x) What would you explore with VIPS? We would like to hear your feedback – please reach out!

@ABCUCBerkeley (13/x) This work was co-led by Wei Wang @ChemistryatUIC @gaogroup1, and Xiongtao Ruan and Gaoxiang Liu @ABCUCBerkeley @berkeleyMCB @LBNLBioSci, and supported by @NIMHgov @thisisUIC @cziscience @hhminews @ThePhilomathia @SloanFoundation @NERSC