Iterative reconstruction algorithms pose tremendous computational challenges for 3D
Electron Tomography (ET). Similar to X-ray Computed Tomography (CT), graphics …

Iterative reconstruction algorithms are becoming increasingly important in electron
tomography of biological samples. These algorithms, however, impose major computational …

We have evaluated reconstruction methods using smooth basis functions in the electron
tomography of complex biological specimens. In particular, we have investigated series …

Electron tomography is currently the highest resolution imaging modality available to study
the 3D structures of pleomorphic macromolecular assemblies, viruses, organelles and cells …

Electron tomography (ET) combining subsequent sub-volume averaging has been
becoming a unique way to study the in situ 3D structures of macromolecular complexes …

We have developed a software package towards automatic electron tomography (ET):
Automatic Tomography (AuTom). The presented package has the following characteristics …

The limited specimen tilting range that is typically available in electron tomography gives
rise to a region in the Fourier space of the reconstructed object where experimental data are …

Electron tomography (ET) is an important technique in biosciences that is providing new
insights into the cellular ultrastructure. Iterative reconstruction methods have been shown to …

We present the ASTRA Toolbox as an open platform for 3D image reconstruction in
tomography. Most of the software tools that are currently used in electron tomography offer …

Despite much progress in electron tomography, quantitative assessment of resolution has
remained a problematic issue. The criteria that are used in single particle analysis, based on …