PSF correction in soft X-ray tomography

Axel Ekman; Venera Weinhardt; Jian-Hua Chen; Gerry McDermott; Mark A Le Gros; Carolyn Larabell

doi:10.1016/j.jsb.2018.06.003

PSF correction in soft X-ray tomography

J Struct Biol. 2018 Oct;204(1):9-18. doi: 10.1016/j.jsb.2018.06.003. Epub 2018 Jun 13.

Authors

Axel Ekman¹, Venera Weinhardt², Jian-Hua Chen¹, Gerry McDermott¹, Mark A Le Gros², Carolyn Larabell³

Affiliations

¹ Department of Anatomy, University of California, San Francisco, CA 94143, USA.
² Department of Anatomy, University of California, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
³ Department of Anatomy, University of California, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. Electronic address: [email protected].

Abstract

In this article, we introduce a linear approximation of the forward model of soft X-ray tomography, such that the reconstruction is solvable by standard iterative schemes. This linear model takes into account the three-dimensional point spread function (PSF) of the optical system, which consequently enhances the reconstruction of data. The feasibility of the model is demonstrated on both simulated and experimental data, based on theoretically estimated and experimentally measured PSFs.

Keywords: 3D imaging; Image processing; Tomography.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms
Image Processing, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Tomography, X-Ray / methods

Grants and funding

P41 GM103445/GM/NIGMS NIH HHS/United States