Embedded Gold Markers for Improved TEM/STEM Tomography Reconstruction

2008 ◽  
Author(s):  
Jian-Shing Luo ◽  
Chia-Chi Huang ◽  
Jeremy D. Russell
Keyword(s):  
3D Reconstruction ◽  
Feature Tracking ◽  
Semiconductor Device ◽  
Electron Tomography ◽  
Tracking Process ◽  
Carbon Coated ◽  
Novel Method ◽  
Tomography Reconstruction ◽  
Tilt Series ◽  
20 Nm

Abstract Electron tomography includes four main steps: tomography data acquisition, image processing, 3D reconstruction, and visualization. After acquisition, tilt-series alignments are performed. Two methods are used to align the tilt-series: cross-correlation and feature tracking. Normally, about 10-20 nm of fiducial markers, such as gold beads, are deposited onto one side of 100 mesh carbon-coated grids during the feature-tracking process. This paper presents a novel method for preparing electron tomography samples with gold beads inside to improve the feature tracking process and quality of 3D reconstruction. Results show that the novel electron tomography sample preparation method improves image alignment, which is essential for successful tomography in many contemporary semiconductor device structures.

A Novel Method for Automated Acquisition of Tilt Series for Electron Tomography Based on Pre-Calibration of the Specimen Stage

2000 ◽  
Vol 6 (S2) ◽  
pp. 1148-1149
Author(s):  
U. Ziese ◽  
A.H. Janssen ◽  
T.P. van der Krift ◽  
A.G. van Balen ◽  
W.J. de Ruijter ◽  
...  
Keyword(s):  
High Resolution ◽  
3D Reconstruction ◽  
Cell Biology ◽  
Electron Tomography ◽  
Three Dimensional ◽  
Imaging Method ◽  
3D Images ◽  
Tilt Series ◽  
3D Information ◽  
Structural Arrangements

Electron tomography is a three-dimensional (3D) imaging method with transmission electron microscopy (TEM) that provides high-resolution 3D images of structural arrangements. Conventional TEM images are in first approximation mere 2D-projections of a 3D sample under investigation. With electron tomographya series of images is acquired of a sample that is tilted over a large angular range (±70°) with small angular tilt increments (so called tilt-series). For the subsequent 3D-reconstruction, the images of the tilt series are aligned relative to each other and the 3D-reconstruction is computed. Electron tomography is the only technique that can provide true 3D information with nm-scale resolution of individual and unique samples. For (cell) biology and material science applications the availability of high-resolution 3D images of structural arrangements within individual samples provides unique architectural information that cannot be obtained otherwise. Routine application of electron tomography will comprise a major revolutionary step forward in the characterization of complex materials and cellular arrangements.

Automation of Tilt Series Acquisition in Transmission Electron Microscopy for Applications in Biology and Materials Science

2001 ◽  
Vol 7 (S2) ◽  
pp. 88-89
Author(s):  
Ingo Daberkow ◽  
Bernhard Feja ◽  
Peter Sparlinek ◽  
Hans R. Tietz
Keyword(s):  
3D Reconstruction ◽  
Data Acquisition ◽  
San Francisco ◽  
High Speed ◽  
Materials Science ◽  
Electron Tomography ◽  
Three Dimensional ◽  
Max Planck ◽  
Automatic Data ◽  
Tilt Series

During the last decade, computation of a three-dimensional image from a tilt series (3D reconstruction) has become a well established method, of which a variety of implementations are available. The term “electron tomography” is now generally used for this type of data acquisition and 3D reconstruction. An overview over the techniques involved is given in.With the introduction of micro-processor-controlled TEMs and cooled slow-scan CCD cameras and with the progress in performance of high-speed computers, automation of complex imaging procedures became mainly a task of developing appropriate software, using the control facilities of the microscope. in this way, automated electron tomography was realized in 1990 at the Max- Planck-Institute for Biochemistry in Martinsried, and at about the same time at the University of California in San Francisco (UCSF). New techniques for automatic focusing and alignment, developed somewhat earlier , have been integrated in these automated tomography procedures. in the following we discuss the requirements of automatic data acquisition and the present implementation for several TEMs.

A Novel Method of Data Collection for Automated Electron Tomography Based upon Pre-cal1bration of Image Shifts and Defocus Changes

2001 ◽  
Vol 7 (S2) ◽  
pp. 78-79
Author(s):  
Ulrike Ziese ◽  
Ries Janssen ◽  
Willie Geerts ◽  
Theo van der Krift ◽  
Auke van Balen ◽  
...  
Keyword(s):  
Data Collection ◽  
3D Reconstruction ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Current Status ◽  
Imaging Method ◽  
Major Step ◽  
Experimental Conditions ◽  
Digital Format ◽  
Tilt Series

Electron tomography is a three-dimensional (3D) imaging method with transmission electron microscopy (TEM) that provides high-resolution 3D images of structural arrangements. with electron tomography a series of images is acquired of a sample that is tilted over a large angular range (±70°) with small angular tilt increments. For the 3D-reconstruction, the images of the tilt series are aligned relative to each other and the 3D-reconstruction is computed. Electron tomography is the only technique that can provide 3D information with nm-scale resolution of individual and unique samples. Routine application of electron tomography will comprise a major step forward in the characterization of complex materials and cellular arrangements. When collecting tilt series for electron tomography image shifts and defocus changes have to be corrected for by the human operator. The repetitive correction of these changes is highly time consuming, error prone and very hard to carry out under low-dose imaging conditions.Many practical problems are overcome when electron tomography data collection is performed in an automated fashion. Automation includes the (a) image acquisition on a (digital) CCD camera, which implies that (b) changes in image position and defocus can be detected by on-line image processing and (c) immediately be corrected for by computer control of the microscope, (d) Finally, tilt series are directly available in digital format for subsequent processing. Typically, carrying out such an experiment would take a day, and the actual data collection 2-4 hours. in spite of the enormous progress made in terms of data collection speed during the last few years, the current status of automated tomography still does not meet the requirements that would make it a routinely applicable tool. For a great number of biological assays and research projects, results obtained under different experimental conditions have to be compared, and series of experiments have to be carried out. Therefore, we propose a novel approach for recording a tilt series that significantly increases data collection speed, and widens the applicability of the technique.

A novel method of nondestructive semiconductor device measurements

1963 ◽  
Author(s):  
T.E. Everhart ◽  
O.C. Wells ◽  
R.K. Matta
Keyword(s):  
Semiconductor Device ◽  
Novel Method

scholarly journals 3D Human Motion Tracking and Reconstruction Using DCT Matrix Descriptor

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Alireza Behrad ◽  
Nadia Roodsarabi
Keyword(s):  
3D Reconstruction ◽  
Discrete Cosine Transform ◽  
Motion Tracking ◽  
Image Sequence ◽  
Human Motion ◽  
Human Motion Analysis ◽  
Image Descriptor ◽  
Tracking Process ◽  
Position And Orientation ◽  
Proper Frequency

One of the most important issues in human motion analysis is the tracking and 3D reconstruction of human motion, which utilizes the anatomic points' positions. These points can uniquely define the position and orientation of all anatomical segments. In this work, a new method is proposed for tracking and 3D reconstruction of human motion from the image sequence of a monocular static camera. In this method, 2D tracking is used for 3D reconstruction, which a database of selected frames is used for the correction of tracking process. The method utilizes a new image descriptor based on discrete cosine transform (DCT), which is employed in different stages of the algorithm. The advantage of using this descriptor is the capabilities of selecting proper frequency regions in various tasks, which results in an efficient tracking and pose matching algorithms. The tracking and matching algorithms are based on reference descriptor matrixes (RDMs), which are updated after each stage based on the frequency regions in DCT blocks. Finally, 3D reconstruction is performed using Taylor’s method. Experimental results show the promise of the algorithm.

Validation study of a novel method for the 3D reconstruction of coronary bifurcations

2020 ◽  
Author(s):  
Panagiota I. Tsompou ◽  
Ioannis O. Andrikos ◽  
Georgia S. Karanasiou ◽  
Antonis I. Sakellarios ◽  
Nikolaos Tsigkas ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Validation Study ◽  
Novel Method

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

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Norio Baba ◽  
Kenji Kaneko ◽  
Misuzu Baba
Keyword(s):  
Cross Section ◽  
Electron Tomography ◽  
Three Dimensional ◽  
Reconstruction Technique ◽  
Reconstruction Method ◽  
Back Projection ◽  
Grey Level ◽  
Discrete Processing ◽  
Structural Image ◽  
Tomography Reconstruction

AbstractWe 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.

A new approach for 3D reconstruction from bright field TEM imaging: Beam precession assisted electron tomography

2011 ◽  
Vol 111 (9-10) ◽  
pp. 1504-1511 ◽  
Author(s):  
J.M. Rebled ◽  
Ll. Yedra ◽  
S. Estradé ◽  
J. Portillo ◽  
F. Peiró
Keyword(s):  
3D Reconstruction ◽  
Electron Tomography ◽  
Bright Field ◽  
New Approach ◽  
Imaging Beam
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