PhaseT3M: 3D Imaging at 1.6 Å Resolution via Electron Cryo-Tomography with Nonlinear Phase Retrieval
Juhyeok Lee, Samuel W. Song, Min Gee Cho, Georgios Varnavides, Stephanie M. Ribet, Colin Ophus, Mary C. Scott, Michael L. Whittaker
TL;DR
PhaseT3M introduces a 3D phase-retrieval framework for cryo-electron tomography that explicitly models multiple scattering via a multislice forward model and optimizes alignment with Bayesian methods. By enforcing a positivity constraint, it recovers missing-wedge information and achieves near-atomic $1.6~\AA$ resolution for a $\,Co_3O_4$ nanoparticle on a carbon support, using standard HRTEM equipment. Simulations and biological tests (HIV-1 EMPIAR-10164) demonstrate broader applicability and superior resolution/artifact suppression relative to conventional tomography, including significant improvements in carbon-support visibility and particle features from single tilt-series data. Although computationally intensive, PhaseT3M establishes a practical pathway to high-fidelity 3D imaging of heterogeneous, radiation-sensitive materials across materials, biology, and related fields.
Abstract
Electron cryo-tomography (cryo-ET) enables 3D imaging of complex, radiation-sensitive structures with molecular detail. However, image contrast from the interference of scattered electrons is nonlinear with atomic density and multiple scattering further complicates interpretation. These effects degrade resolution, particularly in conventional reconstruction algorithms, which assume linearity. Particle averaging can reduce such issues but is unsuitable for heterogeneous or dynamic samples ubiquitous in biology, chemistry, and materials sciences. Here, we develop a phase retrieval-based cryo-ET method, PhaseT3M. We experimentally demonstrate its application to a ~7 nm Co3O4 nanoparticle on ~30 nm carbon substrate, achieving a maximum resolution of 1.6 Å, surpassing conventional limits using standard cryo-TEM equipment. PhaseT3M uses a multislice model for multiple scattering and Bayesian optimization for alignment and computational aberration correction, with a positivity constraint to recover 'missing wedge' information. Applied directly to biological particles, it enhances resolution and reduces artifacts, establishing a new standard for routine 3D imaging of complex, radiation-sensitive materials.
