scholarly journals Interactive 3D Visualization of a Single-View X-Ray Image

2011 ◽  
pp. 73-80 ◽  
Author(s):  
Matthias Wieczorek ◽  
André Aichert ◽  
Pascal Fallavollita ◽  
Oliver Kutter ◽  
Ahmad Ahmadi ◽  
...  
Keyword(s):  
3D Visualization ◽  
X Ray ◽  
Single View ◽  
Interactive 3D

scholarly journals Arena3Dweb: interactive 3D visualization of multilayered networks

2021 ◽  
Author(s):  
Evangelos Karatzas ◽  
Fotis A Baltoumas ◽  
Nikolaos A Panayiotou ◽  
Reinhard Schneider ◽  
Georgios A Pavlopoulos
Keyword(s):  
Web Application ◽  
3D Visualization ◽  
Drug Repurposing ◽  
Single View ◽  
Multiple Networks ◽  
3D Space ◽  
Topological Features ◽  
R Shiny ◽  
Efficient Integration ◽  
Interactive 3D

Abstract Efficient integration and visualization of heterogeneous biomedical information in a single view is a key challenge. In this study, we present Arena3Dweb, the first, fully interactive and dependency-free, web application which allows the visualization of multilayered graphs in 3D space. With Arena3Dweb, users can integrate multiple networks in a single view along with their intra- and inter-layer connections. For clearer and more informative views, users can choose between a plethora of layout algorithms and apply them on a set of selected layers either individually or in combination. Users can align networks and highlight node topological features, whereas each layer as well as the whole scene can be translated, rotated and scaled in 3D space. User-selected edge colors can be used to highlight important paths, while node positioning, coloring and resizing can be adjusted on-the-fly. In its current version, Arena3Dweb supports weighted and unweighted undirected graphs and is written in R, Shiny and JavaScript. We demonstrate the functionality of Arena3Dweb using two different use-case scenarios; one regarding drug repurposing for SARS-CoV-2 and one related to GPCR signaling pathways implicated in melanoma. Arena3Dweb is available at http://bib.fleming.gr:3838/Arena3D or http://bib.fleming.gr/Arena3D.

scholarly journals Arena3Dweb: Interactive 3D visualization of multilayered networks

2020 ◽  
Author(s):  
Evangelos Karatzas ◽  
Fotis A. Baltoumas ◽  
Nikolaos A. Panayiotou ◽  
Reinhard Schneider ◽  
Georgios A. Pavlopoulos
Keyword(s):  
Web Application ◽  
3D Visualization ◽  
Drug Repurposing ◽  
Single View ◽  
Multiple Networks ◽  
3D Space ◽  
Topological Features ◽  
R Shiny ◽  
Efficient Integration ◽  
Interactive 3D

ABSTRACTEfficient integration and visualization of heterogeneous biomedical information in a single view is a key challenge. In this study, we present Arena3Dweb, the first, fully interactive and dependency-free, web application which allows the visualization of multilayered graphs in 3D space. With Arena3Dweb, users can integrate multiple networks in a single view along with their intra- and inter-layer connections. For clearer and more informative views, users can choose between a plethora of layout algorithms and apply them on a set of selected layers either individually or in combination. Users can align networks and highlight node topological features, whereas each layer as well as the whole scene can be translated, rotated and scaled in 3D space. User-selected edge colors can be used to highlight important paths, while node positioning, coloring and resizing can be adjusted on-the-fly. In its current version, Arena3Dweb supports weighted and unweighted undirected graphs and is written in R, Shiny and JavaScript. We demonstrate the functionality of Arena3Dweb using two different use-case scenarios; one regarding drug repurposing for SARS-CoV-2 and one related to GPCR signaling pathways implicated in melanoma. Arena3Dweb is available at http://bib.fleming.gr:3838/Arena3D.

X-Ray Nanotomography (XRMT) Tool for Non-Destructive High-Resolution Imaging of ICs

2001 ◽  
Author(s):  
Wenbing Yun ◽  
Steve Wang ◽  
David Scott ◽  
Kenneth W. Nill ◽  
Waleed S. Haddad
Keyword(s):  
High Resolution ◽  
Process Development ◽  
3D Visualization ◽  
Tomographic Reconstruction ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
Visualization Software ◽  
Volumetric Reconstruction ◽  
Resolution Imaging ◽  
Non Destructive

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.

Interactive 3D Visualization with Dual Leap Motions

2018 ◽  
Vol 30 (7) ◽  
pp. 1268 ◽  
Author(s):  
Guodao Sun ◽  
Puyong Huang ◽  
Yipeng Liu ◽  
Ronghua Liang
Keyword(s):  
3D Visualization ◽  
Interactive 3D

Macromolecular Structure Visualization Tools at NCMI

2000 ◽  
Vol 6 (S2) ◽  
pp. 282-283
Author(s):  
Matthew Dougherty ◽  
Wah Chiu
Keyword(s):  
Human Factors ◽  
3D Visualization ◽  
Three Dimensional ◽  
Theoretical Models ◽  
Biological Research ◽  
Macromolecular Structure ◽  
X Ray ◽  
Visualization Tools ◽  
Types Of Information ◽  
3D Em

Sophisticated tools are needed to examine the results of cyro-microscopy. As the size and resolution of three dimensional macromolecular structures steadily improve, and the speed at with which they can be generated increases, researchers are finding they are inundated with larger datasets and at the same time are compelled to expediently evaluate these structures in unforeseen ways. Integration of EM data with other types of information is becoming necessary and routine; for example X-ray data, 3D EM reconstructions, and theoretical models, must be evaluated in concert to discount or propose hypothesis. To create such tools, the developer must take into account not only the empirical and theoretical possibilities, but also they must master the human factors and computational limits. During the last five years, the National Center for Macromolecular Imaging (NCMI) has progressed from a remedial 3D visualization capability to a collection of visualization tools allowing researchers to focus on the discovery phase of biological research.

scholarly journals Interactive 3D visualization for theoretical virtual observatories

2018 ◽  
Vol 477 (2) ◽  
pp. 1495-1507 ◽  
Author(s):  
T Dykes ◽  
A Hassan ◽  
C Gheller ◽  
D Croton ◽  
M Krokos
Keyword(s):  
3D Visualization ◽  
Interactive 3D ◽  
Virtual Observatories

KG3D: An Interactive 3D Visualization Tool for Knowledge Graphs

2019 ◽  
pp. 886-889
Author(s):  
Dawei Xu ◽  
Lin Wang ◽  
Xin Wang ◽  
Dianquan Li ◽  
Jianpeng Duan ◽  
...  
Keyword(s):  
3D Visualization ◽  
Visualization Tool ◽  
Knowledge Graphs ◽  
Interactive 3D

scholarly journals The Design and Testing of 3DmoveR: an Experimental Tool for Usability Studies of Interactive 3D Maps

2018 ◽  
pp. 31-63 ◽  
Author(s):  
Lukáš Herman ◽  
Tomáš Řezník ◽  
Zdeněk Stachoň ◽  
Jan Russnák
Keyword(s):  
Spatial Data ◽  
Response Times ◽  
3D Visualization ◽  
User Interaction ◽  
Google Earth ◽  
Web Based ◽  
3D Environments ◽  
Camera Position ◽  
Interactive 3D ◽  
3D Scene

Various widely available applications such as Google Earth have made interactive 3D visualizations of spatial data popular. While several studies have focused on how users perform when interacting with these with 3D visualizations, it has not been common to record their virtual movements in 3D environments or interactions with 3D maps. We therefore created and tested a new web-based research tool: a 3D Movement and Interaction Recorder (3DmoveR). Its design incorporates findings from the latest 3D visualization research, and is built upon an iterative requirements analysis. It is implemented using open web technologies such as PHP, JavaScript, and the X3DOM library. The main goal of the tool is to record camera position and orientation during a user’s movement within a virtual 3D scene, together with other aspects of their interaction. After building the tool, we performed an experiment to demonstrate its capabilities. This experiment revealed differences between laypersons and experts (cartographers) when working with interactive 3D maps. For example, experts achieved higher numbers of correct answers in some tasks, had shorter response times, followed shorter virtual trajectories, and moved through the environment more smoothly. Interaction-based clustering as well as other ways of visualizing and qualitatively analyzing user interaction were explored.

scholarly journals BIM in People2People and Things2People Interactive Process

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2982
Author(s):  
Bruno Mataloto ◽  
João C. Ferreira ◽  
Ricardo Resende ◽  
Rita Moura ◽  
Sílvia Luís
Keyword(s):  
User Behavior ◽  
3D Visualization ◽  
Research Work ◽  
Data Representation ◽  
Sensor Data ◽  
University Campus ◽  
Shared Spaces ◽  
Interactive 3D ◽  
Interaction Approach ◽  
Real Time Information

In this research work, we present an IoT solution to environment variables using a LoRa transmission technology to give real-time information to users in a Things2People process and achieve savings by promoting behavior changes in a People2People process. These data are stored and later processed to identify patterns and integrate with visualization tools, which allow us to develop an environmental perception while using the system. In this project, we implemented a different approach based on the development of a 3D visualization tool that presents the system collected data, warnings, and other users’ perception in an interactive 3D model of the building. This data representation introduces a new People2People interaction approach to achieve savings in shared spaces like public buildings by combining sensor data with the users’ individual and collective perception. This approach was validated at the ISCTE-IUL University Campus, where this 3D IoT data representation was presented in mobile devices, and from this, influenced user behavior toward meeting campus sustainability goals.

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