Event Overview
Join us at CZ Biohub SF for an exciting one-day symposium focused on imaging and computational technologies for biological measurements across the scales of protein complexes, organelles, cells, tissues, and organisms.
The trifecta of imaging, AI, and inverse algorithms is accelerating our ability to map the underlying mechanisms of disease and develop new diagnostics. The workshop will focus on the technologies that integrate biological imaging, AI models, and inverse algorithms to accelerate basic discoveries and improve disease diagnosis.
We are planning an interactive symposium to connect the researchers working in this area and to create an opportunity for students and postdocs to identify career opportunities in the CZ ecosystem. We encourage speakers to emphasize the biological questions and the technological answers.
For full consideration, talk abstracts should be submitted by noon Pacific time Friday, January 10.
General attendees please register by Friday, January 17.
Space is limited, so register early! We will contact you to confirm your registration, or if we’ve reached capacity, we will place you on a waiting list.
NOTICE: As of January 8, we have reached venue capacity. We expect some space will open up as the event draws closer, so please register for the waitlist if you are interested in attending. Talk abstracts will continue to be accepted through the form through January 10 (register for the waitlist).
Program
Friday, January 24
Registration and Light Breakfast
Welcoming Remarks
Shalin Mehta, CZ Biohub SF
Invited and Submitted Talks (Session 1)
Dari Kimanius, CZ Imaging Institute
“Hyper-robust differentiable representation learning for CryoEM heterogeneity analysis”
Bronwyn Lucas, UC Berkeley
“Cryo-EM tools for single molecule structural cell biology”
Catherine Galbraith, OHSU
“Compartmentalized cytoplasmic tradewinds direct soluble proteins”
Ruiming Cao, CZ Imaging Institute
“Motion-induced contrast and neural space-time model for dynamic multi-shot imaging”
Alan Lowe, Chan Zuckerberg Initiative
“Discovering interpretable models of scientific image data”
Break and Mingle
Biohub Showcase
5-minute lightning talks from CZ Biohub SF researchers
Lunch
Invited and Submitted Talks (Session 2)
Meghan Driscoll, University of Minnesota
“Cellular harmonics to analyze signaling in and on cell structures”
Kevin Tsia, The University of Hong Kong
“Make sense from label-free bioimaging – from data generation to representation learning”
Michelle Digman, UC Irvine
“The phasor approach to FLIM for metabolic profiling”
María Díaz de León Derby, UC Berkeley
“Multi-contrast machine learning improves schistosomiasis diagnostic performance”
Roarke Horstmeyer, Duke University
“High-throughput computational imaging across multiple spatial scales with the multi-camera array microscope”
Break
Optional tours of CZ Biohub San Francisco
Invited and Submitted Talks (Session 3)
Sixian You, MIT
“Deep 3D isotropic microscopy”
Shwetadwip Chowdhury, University of Texas at Austin
“Multidimensional optical imaging with scattering”
Abhishek Kumar, University of Wisconsin – Madison
“Enabling biological discoveries by advancing optical imaging”
James Wiskin, QT Imaging
“Quantitative 3D inverse scattering acoustic CT with ultrasound wave energy”
Randy Bartels, Morgridge Institute
“Computational aberration correction for widefield nonlinear imaging of tissues”
Reception
Speakers
Invited and selected speakers will be announced in January. We are accepting abstracts for short talks; you may indicate your interest during the registration process.
Scientific Organizing Committee
Shalin Mehta, Ph.D.
Platform Leader, Computational Microscopy
Loïc Royer, Dr. Rer. Nat.
Sr. Group Leader & Director of Imaging AI, Organismal Architecture
Talon Chandler, Ph.D.
R&D Engineer II, Computational MicroscopyLocation
Contact
Please email the organizers at imaging2025@czbiohub.org with any questions.