scholarly journals 3D visualization software to analyze topological outcomes of topoisomerase reactions

2008 ◽  
Vol 36 (11) ◽  
pp. 3515-3521 ◽  
Author(s):  
I. K. Darcy ◽  
R. G. Scharein ◽  
A. Stasiak
Author(s):  
Wenbing Yun ◽  
Steve Wang ◽  
David Scott ◽  
Kenneth W. Nill ◽  
Waleed S. Haddad

Abstract A high-resolution table-sized x-ray nanotomography (XRMT) tool has been constructed that shows the promise of nondestructively imaging the internal structure of a full IC stack with a spatial resolution better than 100 nm. Such a tool can be used to detect, localize, and characterize buried defects in the IC. By collecting a set of X-ray projections through the full IC (which may include tens of micrometers of silicon substrate and several layers of Cu interconnects) and applying tomographic reconstruction algorithms to these projections, a 3D volumetric reconstruction can be obtained, and analyzed for defects using 3D visualization software. XRMT is a powerful technique that will find use in failure analysis and IC process development, and may facilitate or supplant investigations using SEM, TEM, and FIB tools, which generally require destructive sample preparation and a vacuum environment.


2007 ◽  
Author(s):  
Jennifer Yvonne Julian ◽  
Douglas A. Cismoski ◽  
Robert Oren Younger ◽  
Joey P. Burton ◽  
Matthew Lawrence

2020 ◽  
Vol 36 (14) ◽  
pp. 4189-4190
Author(s):  
Yang Liu ◽  
Vinod Kumar Singh ◽  
Deyou Zheng

Abstract Summary Visualization in 3D space is a standard but critical process for examining the complex structure of high-dimensional data. Stereoscopic imaging technology can be adopted to enhance 3D representation of many complex data, especially those consisting of points and lines. We illustrate the simple steps that are involved and strongly recommend others to implement it in designing visualization software. To facilitate its application, we created a new software that can convert a regular 3D scatterplot or network figure to a pair of stereo images. Availability and implementation Stereo3D is freely available as an open source R package released under an MIT license at https://github.com/bioinfoDZ/Stereo3D. Others can integrate the codes and implement the method in academic software. Contact [email protected] Supplementary information Supplementary data are available at Bioinformatics online.


2020 ◽  
Author(s):  
Yuzhi Hu ◽  
A. Limaye ◽  
Jing Lu

Abstract3D scientific visualization is a popular non-destructive investigation tool, however current imaging processing and 3D visualization software has compatibility barriers which make replicability and reproducibility in research difficult. To solve this, we developed a new revisualization method and demonstrated four case studies using three mainstream image processing and 3D visualization software. Our method offers interchangeability amongst current image processing and 3D visualization software.


2015 ◽  
Vol 18 (2) ◽  
pp. 120-127
Author(s):  
Ho-Sung Yoon ◽  
Nuwan Hewage ◽  
Chi Wong Moon ◽  
Young-Hoon Kim ◽  
Heung-Kook Choi

Materials ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 5939
Author(s):  
Valentina Brunello ◽  
Carmen Canevali ◽  
Cristina Corti ◽  
Tim De De Kock ◽  
Laura Rampazzi ◽  
...  

In this study, the microstructure of mock-up mortar specimens for a historic environment, composed of different mixtures, was studied using mercury intrusion porosity (MIP) and microcomputed tomography (µCT), highlighting the advantages and drawbacks of both techniques. Porosity, sphericity, and pores size distribution were studied, evaluating changes according to mortar composition (aerial and hydraulic binders, quartz sand, and crushed limestone aggregate). The µCT results were rendered using 3D visualization software, which provides complementary information for the interpretation of the data obtained using 3D data-analysis software. Moreover, µCT contributes to the interpretation of MIP results of mortars. On the other hand, MIP showed significant ink-bottle effects in lime and cement mortars samples that should be taken into account when interpreting the results. Moreover, the MIP results highlighted how gypsum mortar samples display a porosity distribution that is best studied using this technique. This multi-analytical approach provides important insights into the interpretation of the porosimetric data obtained. This is crucial in the characterization of mortars and provides key information for the study of building materials and cultural heritage conservation.


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