3-D interactive visualisation tools for Hispectral line imaging

AbstractUpcoming HI surveys will deliver such large datasets that automated processing using the full 3-D information to find and characterize HI objects is unavoidable. Full 3-D visualization is an essential tool for enabling qualitative and quantitative inspection and analysis of the 3-D data, which is often complex in nature. Here we presentSlicerAstro, an open-source extension of3DSlicer, a multi-platform open source software package for visualization and medical image processing, which we developed for the inspection and analysis of HI spectral line data. We describe its initial capabilities, including 3-D filtering, 3-D selection and comparative modelling.

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Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data

BMC Bioinformatics ◽

10.1186/1471-2105-10-87 ◽

2009 ◽

Vol 10 (1) ◽

pp. 87 ◽

Cited By ~ 159

Author(s):

Navdeep Jaitly ◽

Anoop Mayampurath ◽

Kyle Littlefield ◽

Joshua N Adkins ◽

Gordon A Anderson ◽

...

Keyword(s):

Mass Spectrometry ◽

High Resolution ◽

Open Source ◽

Open Source Software ◽

Software Package ◽

High Resolution Mass Spectrometry ◽

Mass Spectrometry Data ◽

Open Source Software Package ◽

Automated Processing ◽

Resolution Mass

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Development of an open-source software package for watershed modeling with the Hydrological Simulation Program in Fortran

Environmental Modelling & Software ◽

10.1016/j.envsoft.2015.02.018 ◽

2015 ◽

Vol 68 ◽

pp. 166-174 ◽

Cited By ~ 14

Author(s):

D.J. Lampert ◽

M. Wu

Keyword(s):

Open Source ◽

Open Source Software ◽

Software Package ◽

Watershed Modeling ◽

Simulation Program ◽

Hydrological Simulation ◽

Open Source Software Package

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Integration of enabling methods for the automated flow preparation of piperazine-2-carboxamide

Beilstein Journal of Organic Chemistry ◽

10.3762/bjoc.10.56 ◽

2014 ◽

Vol 10 ◽

pp. 641-652 ◽

Cited By ~ 44

Author(s):

Richard J Ingham ◽

Claudio Battilocchio ◽

Joel M Hawkins ◽

Steven V Ley

Keyword(s):

Open Source ◽

Open Source Software ◽

Software Package ◽

Flow Chemistry ◽

Raspberry Pi ◽

Step Flow ◽

Simultaneous Control ◽

Open Source Software Package

Here we describe the use of a new open-source software package and a Raspberry Pi® computer for the simultaneous control of multiple flow chemistry devices and its application to a machine-assisted, multi-step flow preparation of pyrazine-2-carboxamide – a component of Rifater®, used in the treatment of tuberculosis – and its reduced derivative piperazine-2-carboxamide.

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An open source software package for primality testing of numbers of the form p2^n+1, with no constraints on the relative sizes of p and 2^n

10.7287/peerj.preprints.27396 ◽

2018 ◽

Author(s):

Tejas R. Rao

Keyword(s):

Open Source ◽

Open Source Software ◽

Software Package ◽

Primality Testing ◽

Fermat Number ◽

Open Source Software Package ◽

Sierpinski Numbers ◽

Efficient Software

We develop an efficient software package to test for the primality of p2^n+1, p prime and p>2^n. This aids in the determination of large, non-Sierpinski numbers p, for prime p, and in cryptography. It furthermore uniquely allows for the computation of the smallest n such that p2^n+1 is prime when p is large. We compute primes of this form for the first one million primes p and find four primes of the form above 1000 digits. The software may also be used to test whether p2^n+1 divides a generalized fermat number base 3.

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An Empirical Study on the Migration to OpenOffice.org in a Public Administration

Handbook of Research on Public Information Technology ◽

10.4018/978-1-59904-857-4.ch071 ◽

2008 ◽

pp. 818-832

Author(s):

B. Rossi ◽

M. Scotto ◽

A. Sillitti ◽

G. Succi

Keyword(s):

Empirical Study ◽

Open Source ◽

Public Administration ◽

Open Source Software ◽

Quantitative Data ◽

Office Automation ◽

Point Of View ◽

Qualitative And Quantitative ◽

It Managers

The aim of the article is to report the results of a migration to Open Source Software (OSS) in one public administration. The migration focuses on the office automation field and, in particular, on the OpenOffice.org suite. We have analysed the transition to OSS considering qualitative and quantitative data collected with the aid of different tools. All the data have been always considered from the point of view of the different stakeholders involved, IT managers, IT technicians, and users. The results of the project have been largely satisfactory. However the results cannot be generalised due to some constraints, like the environment considered and the parallel use of the old solution. Nevertheless, we think that the data collected can be of valuable aid to managers wishing to evaluate a possible transition to OSS.

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Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images

BioMed Research International ◽

10.1155/2014/248505 ◽

2014 ◽

Vol 2014 ◽

pp. 1-9 ◽

Cited By ~ 43

Author(s):

Yu-Hua Dean Fang ◽

Chien-Yu Lin ◽

Meng-Jung Shih ◽

Hung-Ming Wang ◽

Tsung-Ying Ho ◽

...

Keyword(s):

Open Source ◽

Texture Analysis ◽

Open Source Software ◽

Software Package ◽

Tumor Heterogeneity ◽

Locally Advanced ◽

Image Texture ◽

Pixel Intensity ◽

Open Source Software Package ◽

Molecular Images

Background. The quantification of tumor heterogeneity with molecular images, by analyzing the local or global variation in the spatial arrangements of pixel intensity with texture analysis, possesses a great clinical potential for treatment planning and prognosis. To address the lack of available software for computing the tumor heterogeneity on the public domain, we develop a software package, namely, Chang-Gung Image Texture Analysis (CGITA) toolbox, and provide it to the research community as a free, open-source project.Methods. With a user-friendly graphical interface, CGITA provides users with an easy way to compute more than seventy heterogeneity indices. To test and demonstrate the usefulness of CGITA, we used a small cohort of eighteen locally advanced oral cavity (ORC) cancer patients treated with definitive radiotherapies.Results. In our case study of ORC data, we found that more than ten of the current implemented heterogeneity indices outperformed SUVmeanfor outcome prediction in the ROC analysis with a higher area under curve (AUC). Heterogeneity indices provide a better area under the curve up to 0.9 than the SUVmeanand TLG (0.6 and 0.52, resp.).Conclusions. CGITA is a free and open-source software package to quantify tumor heterogeneity from molecular images. CGITA is available for free for academic use athttp://code.google.com/p/cgita.

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