Towards sub-100-nm X-ray microscopy for tomographic applications

2010 ◽  
Vol 25 (2) ◽  
pp. 157-160 ◽  
Author(s):  
P. Bruyndonckx ◽  
A. Sasov ◽  
B. Pauwels
Keyword(s):  
Response Curve ◽  
Three Dimensional ◽  
Specimen Size ◽  
Tomographic Imaging ◽  
Detector Response ◽  
Simulation Studies ◽  
Depth Of Focus ◽  
X Ray ◽  
Projection Images ◽  
Ray Projection

We have demonstrated that structures down to 150 nm can be visualized in X-ray projection images using nanofocus X-ray sources. Due to their unlimited depth of focus, they do not possess a limit on the specimen size. This is essential for three-dimensional tomographic imaging of samples with a diameter larger than a few microns. Further simulation studies have shown that optimization of the detector response curve and switching from a reflective X-ray target to a transmission target should allow us to reach sub-100-nm resolutions.

scholarly journals Convolutional Neural Network (CNN) Based Three Dimensional Tumor Localization Using Single X-Ray Projection

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 37026-37038 ◽  
Author(s):  
Ran Wei ◽  
Fugen Zhou ◽  
Bo Liu ◽  
Xiangzhi Bai ◽  
Dongshan Fu ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Three Dimensional ◽  
Tumor Localization ◽  
X Ray ◽  
Ray Projection

scholarly journals Regularization of nonlinear decomposition of spectral x-ray projection images

2017 ◽  
Vol 44 (9) ◽  
pp. e174-e187 ◽  
Author(s):  
Nicolas Ducros ◽  
Juan Felipe Perez-Juste Abascal ◽  
Bruno Sixou ◽  
Simon Rit ◽  
Françoise Peyrin
Keyword(s):  
X Ray ◽  
Projection Images ◽  
Nonlinear Decomposition ◽  
Ray Projection

X-ray Nano- and Micro-tomography in an SEM

2013 ◽  
Vol 21 (2) ◽  
pp. 24-28 ◽  
Author(s):  
Bart Pauwels ◽  
Alexander Sasov
Keyword(s):  
Computer Tomography ◽  
Small Angle ◽  
Reconstruction Algorithm ◽  
X Ray ◽  
Projection Images ◽  
Micro Tomography ◽  
Ray Projection ◽  
Set Up ◽  
Rotation Stage ◽  
Non Destructive

X-ray microfocus computer tomography (μ-CT) is a non-destructive experimental technique that reveals the 3D internal microstructure of the sample under study. The experimental set-up consists of an X-ray source, an X-ray detector, and set in between is a sample that is placed on a rotation stage. With this set-up multiple X-ray projection images can be obtained from the sample at different angles. In between the acquisition of two successive images, the sample is rotated over a small angle, typically between 0.2° and 1°. This set of projection images is then used as input for the reconstruction algorithm, which calculates a reconstruction of the internal microstructure of the sample with (sub-) micrometer sensitivity.

Synchrotron-Based Chemical Nano-Tomography of Microbial Cell-Mineral Aggregates in their Natural, Hydrated State

2014 ◽  
Vol 20 (2) ◽  
pp. 531-536 ◽  
Author(s):  
Gregor Schmid ◽  
Fabian Zeitvogel ◽  
Likai Hao ◽  
Pablo Ingino ◽  
Wolfgang Kuerner ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Direct Evidence ◽  
Three Dimensional ◽  
Chemical Species ◽  
Chemical Processes ◽  
Chemical Mapping ◽  
Bacterial Reduction ◽  
X Ray ◽  
Scanning Transmission ◽  
Projection Images

AbstractChemical nano-tomography of microbial cells in their natural, hydrated state provides direct evidence of metabolic and chemical processes. Cells of the nitrate-reducing Acidovorax sp. strain BoFeN1 were cultured in the presence of ferrous iron. Bacterial reduction of nitrate causes precipitation of Fe(III)-(oxyhydr)oxides in the periplasm and in direct vicinity of the cells. Nanoliter aliquots of cell-suspension were injected into custom-designed sample holders wherein polyimide membranes collapse around the cells by capillary forces. The immobilized, hydrated cells were analyzed by synchrotron-based scanning transmission X-ray microscopy in combination with angle-scan tomography. This approach provides three-dimensional (3D) maps of the chemical species in the sample by employing their intrinsic near-edge X-ray absorption properties. The cells were scanned through the focus of a monochromatic soft X-ray beam at different, chemically specific X-ray energies to acquire projection images of their corresponding X-ray absorbance. Based on these images, chemical composition maps were then calculated. Acquiring projections at different tilt angles allowed for 3D reconstruction of the chemical composition. Our approach allows for 3D chemical mapping of hydrated samples and thus provides direct evidence for the localization of metabolic and chemical processes in situ.

scholarly journals Construction of the method to estimate 3-dimensional position of patella After Total Knee Arthroplasty Using X-ray Projection Images

2008 ◽  
Vol 20 (Supplement) ◽  
pp. 178-178
Author(s):  
Takashi YAMADA ◽  
Koji MORI ◽  
Takatomo MINE ◽  
Kazuhiko ITIHARA ◽  
Toshihiko Taguchi ◽  
...  
Keyword(s):  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
X Ray ◽  
3 Dimensional ◽  
Total Knee ◽  
Projection Images ◽  
Ray Projection

scholarly journals Automatic projection image registration for nanoscale X-ray tomographic reconstruction

2018 ◽  
Vol 25 (6) ◽  
pp. 1819-1826 ◽  
Author(s):  
Haiyan Yu ◽  
Sihao Xia ◽  
Chenxi Wei ◽  
Yuwei Mao ◽  
Daniel Larsson ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Imaging Modality ◽  
Energy State ◽  
Tomographic Reconstruction ◽  
Three Dimensional ◽  
Visual Assessment ◽  
Superior Performance ◽  
X Rays ◽  
X Ray ◽  
Projection Images

Novel developments in X-ray sources, optics and detectors have significantly advanced the capability of X-ray microscopy at the nanoscale. Depending on the imaging modality and the photon energy, state-of-the-art X-ray microscopes are routinely operated at a spatial resolution of tens of nanometres for hard X-rays or ∼10 nm for soft X-rays. The improvement in spatial resolution, however, has led to challenges in the tomographic reconstruction due to the fact that the imperfections of the mechanical system become clearly detectable in the projection images. Without proper registration of the projection images, a severe point spread function will be introduced into the tomographic reconstructions, causing the reduction of the three-dimensional (3D) spatial resolution as well as the enhancement of image artifacts. Here the development of a method that iteratively performs registration of the experimentally measured projection images to those that are numerically calculated by reprojecting the 3D matrix in the corresponding viewing angles is shown. Multiple algorithms are implemented to conduct the registration, which corrects the translational and/or the rotational errors. A sequence that offers a superior performance is presented and discussed. Going beyond the visual assessment of the reconstruction results, the morphological quantification of a battery electrode particle that has gone through substantial cycling is investigated. The results show that the presented method has led to a better quality tomographic reconstruction, which, subsequently, promotes the fidelity in the quantification of the sample morphology.

Sign in / Sign up

Export Citation Format

Share Document