Novel nonlinear reconstruction method with grey-level quantisation units for electron tomography

被引:4
作者
Baba, Norio [1 ]
Kaneko, Kenji [2 ]
Baba, Misuzu [3 ]
机构
[1] Kogakuin Univ, Major Informat, Grad Sch, 2665-1 Nakano, Hachioji, Tokyo 1920015, Japan
[2] Kyushu Univ, Dept Mat Sci & Engn, Fukuoka 8190395, Japan
[3] Kogakuin Univ, Res Inst Sci & Technol, 2665-1 Nakano, Hachioji, Tokyo 1920015, Japan
基金
日本科学技术振兴机构;
关键词
MICROSCOPY; FIDELITY;
D O I
10.1038/s41598-020-77156-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We report a new computed tomography reconstruction method, named quantisation units reconstruction technique (QURT), applicable to electron and other fields of tomography. Conventional electron tomography methods such as filtered back projection, weighted back projection, simultaneous iterative reconstructed technique, etc. suffer from the 'missing wedge' problem due to the limited tilt-angle range. QURT demonstrates improvements to solve this problem by recovering a structural image blurred due to the missing wedge and substantially reconstructs the structure even if the number of projection images is small. QURT reconstructs a cross-section image by arranging grey-level quantisation units (QU pieces) in three-dimensional image space via unique discrete processing. Its viability is confirmed by model simulations and experimental results. An important difference from recently developed methods such as discrete algebraic reconstruction technique (DART), total variation regularisation-DART, and compressed sensing is that prior knowledge of the conditions regarding the specimen or the expected cross-section image is not necessary.
引用
收藏
页数:16
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