scholarly journals Combination of shape and X-ray inspection for apple internal quality control: in silico analysis of the methodology based on X-ray computed tomography

2019 ◽  
Vol 148 ◽  
pp. 218-227 ◽  
Author(s):  
M. van Dael ◽  
P. Verboven ◽  
A. Zanella ◽  
J. Sijbers ◽  
B. Nicolai
Keyword(s):  
Computed Tomography ◽  
Quality Control ◽  
In Silico ◽  
In Silico Analysis ◽  
Internal Quality Control ◽  
Internal Quality ◽  
X Ray ◽  
X Ray Computed ◽  
Silico Analysis

scholarly journals A New Validation Methodology for In Silico Tools Based on X-ray Computed Tomography Images of Tablets and a Performance Analysis of One Tool

Pharmaceutics ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1488
Author(s):  
Sebastian Bollmann ◽  
Peter Kleinebudde
Keyword(s):  
Computed Tomography ◽  
In Silico ◽  
Pharmaceutical Formulations ◽  
Prediction Errors ◽  
Micro Computed Tomography ◽  
Pharmaceutical Dosage Forms ◽  
X Ray ◽  
Computed Tomography Images ◽  
X Ray Computed ◽  
In Silico Tools

In silico tools which predict the dissolution of pharmaceutical dosage forms using virtual matrices can be validated with virtual matrices based on X-ray micro-computed tomography images of real pharmaceutical formulations. Final processed images of 3 different tablet batches were used to check the performance of the in silico tool F-CAD. The goal of this work was to prove the performance of the software by comparing the predicted dissolution profiles to the experimental ones and to check the feasibility and application of the validation concept for in silico tools. Both virtual matrices based on X-ray micro-computed tomography images and designed by the software itself were used. The resulting dissolution curves were compared regarding their similarity to the experimental curve. The kinetics were analysed with the Higuchi and Korsmeyers–Peppas plot. The whole validation concept as such was feasible and worked well. It was possible to identify prediction errors of the software F-CAD and issues with the virtual tablets designed within the software.

Clear wood content in standing trees predicted from branch scar measurements with terrestrial LiDAR and verified with X-ray computed tomography

2014 ◽  
Vol 44 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Stefan M. Stängle ◽  
Franka Brüchert ◽  
Ursula Kretschmer ◽  
Heinrich Spiecker ◽  
Udo H. Sauter
Keyword(s):  
Computed Tomography ◽  
Wood Quality ◽  
European Beech ◽  
Internal Quality ◽  
Clear Wood ◽  
Terrestrial Lidar ◽  
X Ray ◽  
Standing Trees ◽  
X Ray Computed

Knowledge about the wood quality of standing trees is crucial in that it serves as an excellent means for nearly all stages of the wood-supply chain. Better information about internal wood characteristics can be derived from the outside appearance by establishing a correlation between the bark characteristics of a stem and its internal quality. This paper presents an approach where the quality determination of standing trees using a terrestrial light detection and ranging (LiDAR) system is combined with the information about internal quality of logs using X-ray computed tomography (CT). Results show a high accuracy for branch scar measurements with terrestrial LiDAR and knot measurement with CT. A strong correlation between scar seal quotient and the amount of clear wood could be confirmed using European beech (Fagus sylvatica L.) as an example. Quality grading of virtually segmented logs using terrestrial LiDAR and CT showed moderate correlation; 62.5% of the segments were allocated to the same grade by both approaches. In conclusion, terrestrial LiDAR in forest inventory could be used as an instrument to predict inner wood quality in greater detail by gathering data on the outer appearance and branch scars of standing trees. This additional knowledge has the potential to improve forest planning, bucking instructions, and a roundwood allocation that meets industry demand.

Quality control and patient doses in X-ray computed tomography

2011 ◽  
Vol 147 (1-2) ◽  
pp. 126-128 ◽  
Author(s):  
W. Slusarczyk-Kacprzyk ◽  
W. Skrzynski ◽  
E. Fabiszewska ◽  
W. Bulski
Keyword(s):  
Computed Tomography ◽  
Quality Control ◽  
X Ray ◽  
Patient Doses ◽  
X Ray Computed

scholarly journals A New Method for Quality Control of Geological Cores by X-Ray Computed Tomography: Application in IODP Expedition 370

2019 ◽  
Vol 7 ◽  
Author(s):  
Satoshi Tonai ◽  
Yusuke Kubo ◽  
Man-Yin Tsang ◽  
Stephen Bowden ◽  
Kotaro Ide ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Quality Control ◽  
New Method ◽  
X Ray ◽  
X Ray Computed

X-Ray Computed Tomography Applied as a Comprehensive Technique for Material Analysis and Dimensional Measurement of Metallic Parts

2014 ◽  
Vol 613 ◽  
pp. 335-343 ◽  
Author(s):  
Diogo Cesar Borges Silva ◽  
Crhistian Raffaelo Baldo
Keyword(s):  
Computed Tomography ◽  
Quality Control ◽  
Point Of View ◽  
Dimensional Metrology ◽  
Material Quality ◽  
X Ray ◽  
Internal Structures ◽  
Quality Control Tool ◽  
X Ray Computed ◽  
Metallic Parts

X-ray computed tomography, first conceived to image internal structures of the human body, has become an important metrology technique for material quality control and dimensional quality control. As a material quality control tool, discontinuities, cracks and voids can be detected without physically destroying or damage the sample under analysis. As a dimensional metrology technique, the complete examination in a non-destructive manner of inner and outer geometries of parts and components has become possible. In this paper, material investigation of connecting rods manufactured through both casting and forging processes and dimensional evaluation of intricate geometries found on connecting rods are described and discussed from the metrology point of view.

Multi-scale X-ray tomography for process and quality control in 3D TSV packaging

2014 ◽  
Vol 2014 (1) ◽  
pp. 000184-000187 ◽  
Author(s):  
Ehrenfried Zschech ◽  
Sven Niese ◽  
Markus Löffler ◽  
M. Jürgen Wolf
Keyword(s):  
Computed Tomography ◽  
Quality Control ◽  
Process Development ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
X Ray ◽  
Two Dimensional Image ◽  
Multi Scale ◽  
Advanced Packaging ◽  
X Ray Computed

Advanced packaging processes and the resulting 3D products challenge process and quality control. X-ray imaging and X-ray computed tomography (XCT) provide non-destructive characterization capabilities on specimens across a range of length scales, observing features with sizes spanning from millimeters over micrometers down to several 10 nanometers. They are the techniques of choice for two- or three-dimensional inspection of medium and small sized objects with a resolution down to several 10 nm. In this paper, the potential and the limits of XCT for process development, process monitoring, and failure analysis in 3D TSV stacks are described. It is shown that a multi-scale approach, i.e. using imaging techniques with several resolution ranges, is necessary for these particular tasks. Since sub-micron XCT and nano XCT are very useful techniques with a promising prospect for the future, we focus on the capabilities of two lab-based XCT tools with sub-micron resolution (Zeiss Versa) and with < 50 nm resolution (Zeiss Ultra). We demonstrate the capabilities for nondestructive imaging of multi-die stacks with TSVs and AgSn microbumps. Major filling defects in TSVs are clearly visualized. An analysis of individual bumps reveals mismatches in relative positioning, micron-size pores, and the distribution of intermetallic phases. This information provides important information regarding the respective process steps (process control) and the product quality (quality control). In addition, TSV etch profiles and small voids in Cu TSVs are visualized. Since deviations from the targeted geometry and defects are difficult to locate precisely from a two-dimensional image, X-ray computed tomography has to be applied.

X-ray Computed Tomography for Internal Quality Evaluation of Peaches

1999 ◽  
Vol 73 (4) ◽  
pp. 323-330 ◽  
Author(s):  
Eufemio G. Barcelon ◽  
Seishu Tojo ◽  
Kengo Watanabe
Keyword(s):  
Computed Tomography ◽  
Quality Evaluation ◽  
Internal Quality ◽  
X Ray ◽  
X Ray Computed
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