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Published November 2008 | Accepted Version + Supplemental Material
Journal Article Open

Radiation dose reduction and image enhancement in biological imaging through equally-sloped tomography

Abstract

Electron tomography is currently the highest resolution imaging modality available to study the 3D structures of pleomorphic macromolecular assemblies, viruses, organelles and cells. Unfortunately, the resolution is currently limited to 3–5 nm by several factors including the dose tolerance of biological specimens and the inaccessibility of certain tilt angles. Here we report the first experimental demonstration of equally-sloped tomography (EST) to alleviate these problems. As a proof of principle, we applied EST to reconstructing frozen-hydrated keyhole limpet hemocyanin molecules from a tilt-series taken with constant slope increments. In comparison with weighted back-projection (WBP), the algebraic reconstruction technique (ART) and the simultaneous algebraic reconstruction technique (SART), EST reconstructions exhibited higher contrast, less peripheral noise, more easily detectable molecular boundaries and reduced missing wedge effects. More importantly, EST reconstructions including only two-thirds the original images appeared to have the same resolution as full WBP reconstructions, suggesting that EST can either reduce the dose required to reach a given resolution or allow higher resolutions to be achieved with a given dose. EST was also applied to reconstructing a frozen-hydrated bacterial cell from a tilt-series taken with constant angular increments. The results confirmed similar benefits when standard tilts are utilized.

Additional Information

© 2008 Elsevier. Received 5 May 2008; revised 25 July 2008; accepted 31 July 2008. Available online 15 August 2008. We thank H. Jiang for the help with the figures. JM thanks O. Levi, W. Chiu and Z.H. Zhou for stimulating discussions. This work was supported in part by the US Department of Energy, Office of Basic Energy Sciences under the contract number DE-FG02-06ER46276, the US National Science Foundation, Division of Materials Research (DMR-0520894), UC Discovery/TomoSoft Technologies, LLC under the Contract Number IT107-10166 and the Alfred P. Sloan foundation. GJJ acknowledges funding from the NIH (R01 AI067548 and P50 GM082545), DOE (Grant DE-FG02-04ER63785), a Searle Scholar Award to GJJ, the Beckman Institute at Caltech, and gifts to Caltech from the Gordon and Betty Moore Foundation and Agouron Institute. Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.jsb.2008.07.011.

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Accepted Version - nihms-282668.pdf

Supplemental Material - LEEjsb08movie.gif

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