UMass Chan Medical School Faculty Publications

UMMS Affiliation

RNA Therapeutics Institute

Publication Date

2021-02-19

Document Type

Article Preprint

Disciplines

Biophysics

Abstract

Image simulation plays a central role in the development and practice of high-resolution electron microscopy, including transmission electron microscopy of frozen-hydrated specimens (cryo-EM). Simulating images with contrast that matches the contrast observed in experimental images remains challenging, especially for amorphous samples. Current state-of-the-art simulators apply post hoc scaling to approximate empirical solvent contrast, attenuated image intensity due to specimen thickness, and amplitude contrast. This practice fails for images that require spatially variable scaling, e.g., simulations of a crowded or cellular environment. Modeling both the signal and the noise accurately is necessary to simulate images of biological specimens with contrast that is correct on an absolute scale. To do so, we introduce the “Frozen-Plasmon” method which explicitly models spatially variable inelastic scattering processes in cryo-EM specimens. This approach produces amplitude contrast that depends on the atomic composition of the specimen, reproduces the total inelastic mean free path as observed experimentally and allows for the incorporation of radiation damage in the simulation. Taken in combination with a new mathematical formulation for accurately sampling the tabulated atomic scattering potentials onto a Cartesian grid, we also demonstrate how the matched-filter concept can be used to quantitatively compare model and experiment. The simulator is available as a standalone program, implemented in C++ with multi-threaded parallelism using the computational imaging system for Transmission Electron Microscopy (cisTEM.)

Keywords

biophysics, Cryo-TEM simulations, image simulation

Rights and Permissions

The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

DOI of Published Version

10.1101/2021.02.19.431636

Source

bioRxiv 2021.02.19.431636; doi: https://doi.org/10.1101/2021.02.19.431636. Link to preprint on bioRxiv.

Comments

This article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.

Journal/Book/Conference Title

bioRxiv

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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