scholarly journals A comprehensive and user‐friendly framework for 3D‐data visualisation in invertebrates and other organisms

2019 ◽  
Vol 280 (2) ◽  
pp. 223-231 ◽  
Author(s):  
Thomas L. Semple ◽  
Rod Peakall ◽  
Nikolai J. Tatarnic
2011 ◽  
Vol 464 ◽  
pp. 57-60
Author(s):  
Yong Zhang ◽  
Jun Fang Ni ◽  
Peng Liu

In accordance with the object-oriented programming, a system for 3D medical images of reconstruction and display has been designed and implemented. The overall software structure is established based on VC++6.0 and display technique of Open Graphics Library. The functional modules, such as acquisition of encoded 3D data, pre-process, reconstruction and display, are achieved by the design and implementation of customized classes. At last the software system provides user-friendly graphical user interfaces, highly efficient data processing and reconstruction, and rapid capability of graphic display.


2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Jean-Baptiste Pettit ◽  
John C Marioni

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Artem Ivanov ◽  
Arne Kulinna

Abstract Miniaturised MEMS-based Fabry-Pérot interferometer (FPI) spectral sensors allow the design of compact spectrometers in the near infrared (NIR) range. These small-size instruments can be used for quality control of alimentation products, sorting of plastics and fabrics in respect to the material composition or defining genuineness of goods. This article describes design details and achieved results in development of an inexpensive user friendly hand-held NIR spectrometer incorporating a MEMS-FPI sensor with the spectral range of 1550–1850 nm. Implemented electronic circuitry as well as the optical configuration of the device are discussed, used electronic components and the background for the choice of the light source are presented. Furthermore, the associated software for device operation and data visualisation is described. Achieved technical parameters of the device are discussed and illustrated by examples of acquired spectra. Shared experience in operating a MEMS-FPI sensor could be especially useful for designers targeting low-cost instruments for use by general public.


2006 ◽  
Vol 129 (5) ◽  
pp. 911-918 ◽  
Author(s):  
Dimitriou Vasilis ◽  
Vidakis Nectarios ◽  
Antoniadis Aristomenis

Gear hobbing, as any cutting process based on the rolling principle, is a signally multiparametric and complicated gear fabrication method. Although a variety of simulating methods has been proposed, each of them somehow reduces the actual three-dimensional (3D) process to planar models, primarily for simplification reasons. The paper describes an effective and factual simulation of gear hobbing, based on virtual kinematics of solid models representing the cutting tool and the work gear. The selected approach, in contrast to former modeling efforts, is primitively realistic, since the produced gear and chips geometry are normal results of successive penetrations and material removal of cutting teeth into a solid cutting piece. The algorithm has been developed and embedded in a commercial CAD environment, by exploiting its modeling and graphics capabilities. To generate the produced chip and gear volumes, the hobbing kinematics is directly applied in one 3D gear gap. The cutting surface of each generating position (successive cutting teeth) formulates a 3D spatial surface, which bounds its penetrating volume into the workpiece. This surface is produced combining the relative rotations and displacements of the two engaged parts (hob and work gear). Such 3D surface “paths” are used to split the subjected volume, creating concurrently the chip and the remaining work gear solid geometries. This algorithm is supported by a universal and modular code as well as by a user friendly graphical interface, for pre- and postprocessing user interactions. The resulting 3D data allow the effective utilization for further research such as prediction of the cutting forces course, tool stresses, and wear development as well as the optimization of the gear hobbing process.


2011 ◽  
pp. 293-310
Author(s):  
S. Martin ◽  
L. Whitcomb ◽  
R. Arsenault ◽  
M. Plumlee ◽  
C. Ware

2019 ◽  
Vol 37 (4) ◽  
pp. 845-865 ◽  
Author(s):  
Pauline Joseph ◽  
Aaron Justin Kent ◽  
Peter Damian Green ◽  
Matthew Robinson ◽  
Amanda Bellenger

Purpose The purpose of this paper is to develop data visualisation proof of concept prototypes that will enable the Curtin University Library team to explore its users’ information-seeking behaviour and collection use online by analysing the library’s EZproxy logs. Design/methodology/approach Curtin Library’s EZproxy log file data from 2013 to 2017 is used to develop the data visualisation prototypes using Unity3D software. Findings Two visualisation prototypes from the EZproxy data set are developed. The first, “Global Visualisation of Curtin Research Activity”, uses a geographical map of the world as a platform to show where each research request comes from, the time each is made and the file size of the request. The second prototype, “Database Usage Visualisation”, shows the use of the library’s various subscription databases by staff and students daily, over a month in April 2017. Research limitations/implications The paper has following limitations: working to a tight timeline of ten weeks; time taken to cleanse noise data; and requirements for storing and hosting the voluminous data sets. Practical implications The prototypes provide visual evidence of the use of Curtin Library’s digital resources at any time and from anywhere by its users, demonstrating the demand for the library’s online service offerings. These prototype evidence-based data visualisations empower the library to communicate in a compelling and interesting way how its services and subscriptions support Curtin University’s missions. Originality/value The paper provides innovative approaches to create immersive 3D data visualisation prototypes to make sense of complex EZproxy data sets.


2020 ◽  
Vol 53 (1) ◽  
pp. 50
Author(s):  
Haryono Utomo ◽  
Mieke Sylvia Margaretha Amiatun Ruth ◽  
Levina Gita Wangsa ◽  
Rodrigo Ernesto Salazar-Gamarra ◽  
Liciano Lauria Dib

Background: Forensic dentistry identification commonly involves using dental cast models as ante-mortem data. Here, dentists generally send the pictures as well as the dental records. However, in recent times, dentists – especially orthodontists and prosthodontists – are using 3D scanners in view of reducing the space for cast model storage as well as sending the 3D imaging for fabricating clear aligners and other items such as crowns and bridges. This new trend means data transmission and viewing has become more complicated since sophisticated laptops or personal computers are generally required. For more practical use, smartphones would be a better option, meaning various simple ideas for viewing 3D data must be explored. Furthermore, the conclusions must be evaluated in terms of the validity for forensic dentistry use. Purpose: To evaluate a number of smartphone applications that are simple, user friendly, scalable and capable of the measurement and superimposition of 3D imaging data. Review: Standard tessellation language (STL) is one of the 3D scan file formats that is also useful for 3D printing. Recently, several applications for 3D viewing have been made available for iPhones (iOS) and Android-based devices, which are able to view STL files. However, they have all received both positive and negative reviews in terms of various applications, including forensic dentistry, and they thus require further evaluation by forensic odontologists. Conclusion: Each application has advantages and disadvantages; however, in our experience as forensic odontologists, the CAD Assistant, exocad and Adobe Photoshop Mix, which are available for iOS and Android devices, are preferable for forensic dentistry needs


Author(s):  
A. Pamart ◽  
F. Ponchio ◽  
V. Abergel ◽  
A. Alaoui M'Darhri ◽  
M. Corsini ◽  
...  

<p><strong>Abstract.</strong> Close-Range Photogrammetry (CRP) and Reflectance Transformation Imaging (RTI) are two of the most used image-based techniques when documenting and analyzing Cultural Heritage (CH) objects. Nevertheless, their potential impact in supporting study and analysis of conservation status of CH assets is reduced as they remain mostly applied and analyzed separately. This is mostly because we miss easy-to-use tools for of a spatial registration of multimodal data and features for joint visualisation gaps. The aim of this paper is to describe a complete framework for an effective data fusion and to present a user friendly viewer enabling the joint visual analysis of 2D/3D data and RTI images. This contribution is framed by the on-going implementation of automatic multimodal registration (3D, 2D RGB and RTI) into a collaborative web platform (AIOLI) enabling the management of hybrid representations through an intuitive visualization framework and also supporting semantic enrichment through spatialized 2D/3D annotations.</p>


Author(s):  
Douglas L. Dorset

The quantitative use of electron diffraction intensity data for the determination of crystal structures represents the pioneering achievement in the electron crystallography of organic molecules, an effort largely begun by B. K. Vainshtein and his co-workers. However, despite numerous representative structure analyses yielding results consistent with X-ray determination, this entire effort was viewed with considerable mistrust by many crystallographers. This was no doubt due to the rather high crystallographic R-factors reported for some structures and, more importantly, the failure to convince many skeptics that the measured intensity data were adequate for ab initio structure determinations.We have recently demonstrated the utility of these data sets for structure analyses by direct phase determination based on the probabilistic estimate of three- and four-phase structure invariant sums. Examples include the structure of diketopiperazine using Vainshtein's 3D data, a similar 3D analysis of the room temperature structure of thiourea, and a zonal determination of the urea structure, the latter also based on data collected by the Moscow group.


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