Electron tomography (ET) combining subsequent sub-volume averaging has been becoming a unique way
to study the in situ 3D structures of macromolecular complexes. However, information missing in electron
tomography due to limited angular sampling is still the bottleneck in high-resolution electron
tomography application. Here, based on the understanding of smooth nature of biological specimen,
we present a new iterative image reconstruction algorithm, FIRT (filtered iterative reconstruction
technique) for electron tomography by combining the algebra reconstruction technique (ART) and the
nonlinear diffusion (ND) filter technique. Using both simulated and experimental data, in comparison
to ART and weight back projection method, we proved that FIRT could generate a better reconstruction
with reduced ray artifacts and significant improved correlation with the ground truth and partially
restore the information at the non-sampled angular region, which was proved by investigating the 90
re-projection and by the cross-validation method. This new algorithm will be subsequently useful in
the future for both cellular and molecular ET with better quality and improved structural details.
2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license
Electron tomography (ET) combining subsequent sub-volume averaging has been becoming a unique wayto study the in situ 3D structures of macromolecular complexes. However, information missing in electrontomography due to limited angular sampling is still the bottleneck in high-resolution electrontomography application. Here, based on the understanding of smooth nature of biological specimen,we present a new iterative image reconstruction algorithm, FIRT (filtered iterative reconstructiontechnique) for electron tomography by combining the algebra reconstruction technique (ART) and thenonlinear diffusion (ND) filter technique. Using both simulated and experimental data, in comparisonto ART and weight back projection method, we proved that FIRT could generate a better reconstructionwith reduced ray artifacts and significant improved correlation with the ground truth and partiallyrestore the information at the non-sampled angular region, which was proved by investigating the 90re-projection and by the cross-validation method. This new algorithm will be subsequently useful inthe future for both cellular and molecular ET with better quality and improved structural details. 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license
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