کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1677753 1518365 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Electron tomography based on a total variation minimization reconstruction technique
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد فناوری نانو (نانو تکنولوژی)
پیش نمایش صفحه اول مقاله
Electron tomography based on a total variation minimization reconstruction technique
چکیده انگلیسی

The 3D reconstruction of a tilt series for electron tomography is mostly carried out using the weighted backprojection (WBP) algorithm or using one of the iterative algorithms such as the simultaneous iterative reconstruction technique (SIRT). However, it is known that these reconstruction algorithms cannot compensate for the missing wedge. Here, we apply a new reconstruction algorithm for electron tomography, which is based on compressive sensing. This is a field in image processing specialized in finding a sparse solution or a solution with a sparse gradient to a set of ill-posed linear equations. Therefore, it can be applied to electron tomography where the reconstructed objects often have a sparse gradient at the nanoscale. Using a combination of different simulated and experimental datasets, it is shown that missing wedge artefacts are reduced in the final reconstruction. Moreover, it seems that the reconstructed datasets have a higher fidelity and are easier to segment in comparison to reconstructions obtained by more conventional iterative algorithms.


► A reconstruction algorithm for electron tomography is investigated based on total variation minimization.
► Missing wedge artefacts are reduced by this algorithm.
► The reconstruction is easier to segment.
► More reliable quantitative information can be obtained.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultramicroscopy - Volume 113, February 2012, Pages 120–130
نویسندگان
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