Search Results for author: Axel Levy

Found 8 papers, 1 papers with code

Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning

no code implementations22 Dec 2023 Jay Shenoy, Axel Levy, Frédéric Poitevin, Gordon Wetzstein

X-ray free-electron lasers (XFELs) offer unique capabilities for measuring the structure and dynamics of biomolecules, helping us understand the basic building blocks of life.

3D Reconstruction Pose Estimation

CryoChains: Heterogeneous Reconstruction of Molecular Assembly of Semi-flexible Chains from Cryo-EM Images

no code implementations12 Jun 2023 Bongjin Koo, Julien Martel, Ariana Peck, Axel Levy, Frédéric Poitevin, Nina Miolane

Cryogenic electron microscopy (cryo-EM) has transformed structural biology by allowing to reconstruct 3D biomolecular structures up to near-atomic resolution.

3D Reconstruction Cryogenic Electron Microscopy (cryo-EM)

MELON: NeRF with Unposed Images in SO(3)

no code implementations14 Mar 2023 Axel Levy, Mark Matthews, Matan Sela, Gordon Wetzstein, Dmitry Lagun

Neural radiance fields enable novel-view synthesis and scene reconstruction with photorealistic quality from a few images, but require known and accurate camera poses.

Inverse Rendering Novel View Synthesis +1

Amortized Inference for Heterogeneous Reconstruction in Cryo-EM

no code implementations13 Oct 2022 Axel Levy, Gordon Wetzstein, Julien Martel, Frederic Poitevin, Ellen D. Zhong

Cryo-electron microscopy (cryo-EM) is an imaging modality that provides unique insights into the dynamics of proteins and other building blocks of life.

CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images

1 code implementation15 Mar 2022 Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein

We introduce cryoAI, an ab initio reconstruction algorithm for homogeneous conformations that uses direct gradient-based optimization of particle poses and the electron scattering potential from single-particle cryo-EM data.

Computational Efficiency

Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy

no code implementations8 Jan 2022 Claire Donnat, Axel Levy, Frederic Poitevin, Ellen Zhong, Nina Miolane

Recent breakthroughs in high-resolution imaging of biomolecules in solution with cryo-electron microscopy (cryo-EM) have unlocked new doors for the reconstruction of molecular volumes, thereby promising further advances in biology, chemistry, and pharmacological research.

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