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Eric Betzig

Eric Betzig

· Howard Hughes Medical Institute Investigator, Professor of Cell Biology, Development and Physiology

University of California, Berkeley · Biological Sciences

Active 1984–2026

h-index116
Citations97.9k
Papers34674 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Eric Betzig is a Howard Hughes Medical Institute Investigator and a Professor of Cell Biology, Development and Physiology at the University of California, Berkeley. His research focuses on molecular and cell biology, with particular emphasis on advanced imaging techniques. He is involved in exploring the frontiers of microscopy and cellular imaging to better understand biological processes at the molecular level.

Research topics

  • Biophysics
  • Biology
  • Biochemistry
  • Geometry
  • Artificial Intelligence
  • Physics
  • Computer Science
  • Cell biology
  • Materials science
  • Optics

Selected publications

  • Correlative three-dimensional super-resolution and block-face electron microscopy of whole vitreously frozen cells

    Science · 2020 · 361 citations

    Within cells, the spatial compartmentalization of thousands of distinct proteins serves a multitude of diverse biochemical needs. Correlative super-resolution (SR) fluorescence and electron microscopy (EM) can elucidate protein spatial relationships to global ultrastructure, but has suffered from tradeoffs of structure preservation, fluorescence retention, resolution, and field of view. We developed a platform for three-dimensional cryogenic SR and focused ion beam-milled block-face EM across en…

  • Sensitivity optimization of a rhodopsin-based fluorescent voltage indicator

    Neuron · 2023 · 128 citations

    The ability to optically image cellular transmembrane voltages at millisecond-timescale resolutions can offer unprecedented insight into the function of living brains in behaving animals. Here, we present a point mutation that increases the sensitivity of Ace2 opsin-based voltage indicators. We use the mutation to develop Voltron2, an improved chemigeneic voltage indicator that has a 65% higher sensitivity to single APs and 3-fold higher sensitivity to subthreshold potentials than Voltron. Voltr…

  • Image processing tools for petabyte-scale light sheet microscopy data

    Nature Methods · 2024-10-17 · 39 citations

    articleOpen access

    Light sheet microscopy is a powerful technique for high-speed three-dimensional imaging of subcellular dynamics and large biological specimens. However, it often generates datasets ranging from hundreds of gigabytes to petabytes in size for a single experiment. Conventional computational tools process such images far slower than the time to acquire them and often fail outright due to memory limitations. To address these challenges, we present PetaKit5D, a scalable software solution for efficient…

  • Characterization, comparison, and optimization of lattice light sheets

    Science Advances · 2023-03-31 · 33 citations

    articleOpen accessCorresponding

    Lattice light sheet microscopy excels at the noninvasive imaging of three-dimensional (3D) dynamic processes at high spatiotemporal resolution within cells and developing embryos. Recently, several papers have called into question the performance of lattice light sheets relative to the Gaussian sheets most common in light sheet microscopy. Here, we undertake a theoretical and experimental analysis of various forms of light sheet microscopy, which demonstrates and explains why lattice light sheet…

  • u-track3D: Measuring, navigating, and validating dense particle trajectories in three dimensions

    Cell Reports Methods · 2023-12-01 · 33 citations

    articleOpen access

    We describe u-track3D, a software package that extends the versatile u-track framework established in 2D to address the specific challenges of 3D particle tracking. First, we present the performance of the new package in quantifying a variety of intracellular dynamics imaged by multiple 3D microcopy platforms and on the standard 3D test dataset of the particle tracking challenge. These analyses indicate that u-track3D presents a tracking solution that is competitive to both conventional and deep…

Frequent coauthors

  • Srigokul Upadhyayula

    University of California, Berkeley

    150 shared
  • Daniel E. Milkie

    Janelia Research Campus

    100 shared
  • Tomas Kirchhausen

    Boston Children's Hospital

    99 shared
  • Bi‐Chang Chen

    Research Center for Applied Science, Academia Sinica

    95 shared
  • Wesley R. Legant

    North Carolina State University

    88 shared
  • Jennifer Lippincott‐Schwartz

    Janelia Research Campus

    88 shared
  • Tian-Ming Fu

    Princeton University

    75 shared
  • Harald F. Hess

    Integral Consulting (United States)

    71 shared

Education

  • Ph.D., Physics

    University of California, Berkeley

    1990
  • B.S., Physics

    Princeton University

    1984

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