PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 8033540

ANALYSIS: software for graphical analysis of multidimensional flow cytometric list mode data.

T C Bakker Schut·R M Doornbos·B G de Grooth
View original source ↗Export metadata ↓

Abstract

A computer program for graphical analysis of multidimensional flow cytometric list mode data is described. The program offers one-, two-, and three-dimensional inspection of an amount of data that is only limited by disk space. Subpopulations within the original data set can be identified by setting one or more two-dimensional AND gates around them. The order of measurement can be used as a parameter for evaluation of time-dependent processes. Other new parameters can be made by zooming in on a parameter, logarithmic transformation, or division of two parameters. The program is written in Turbo Pascal and it can run on any MS-DOC PC with an EGA/VGA resolution screen.

Explore related subjects

Computer GraphicsFlow CytometrySoftwareUser-Computer InterfaceJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

T C Bakker Schut, R M Doornbos, B G de Grooth. 1994. ANALYSIS: software for graphical analysis of multidimensional flow cytometric list mode data.. https://doi.org/10.1006/cbmr.1994.1010

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

[Electronic documentation of injuries of the hand with a semantic network: effective and efficient methods for the documentation of clinical and administrative processes].

BACKGROUND: An efficient medical documentation is mandatory for a trauma-oriented department in the DRG environment. Besides the continuously increasing clinical/administrative demands, the additional documentation for quality assurance, clinical studies, and research requires additional efforts. Standard solutions are only partially effective. Especially in hand surgery there is a high demand for sophisticated clinical documentation, represented by a wide variety of classifications in diagnosis and therapy. The standard documentation tools lack accuracy. The development of a software tool that defines administrative/business processes and simultaneously generates clinical and administrative information was the goal of this project. METHODS AND RESULTS: With a standard medical terminology, an innovative semantic network, and a completely new graphical user interface, it was possible to develop and introduce a software program specifically adjusted for hand surgery. This program facilitated for the first time a single-stage acquisition of clinically relevant scientific data and the simultaneous generation of DRG, quality assurance, and administrative data relevant for the hospital's revenues. CONCLUSIONS: The newly developed software tool is a step forward into a new dimension of medical software, obviating the need for multi/documentation and significantly improving the quality of clinically relevant medical data.

Computer Graphics↗
PubMed2007

Open-source software for radiologists: a primer.

There is a wide variety of free (open-source) software available via the Internet which may be of interest to radiologists. This article will explore the use of open-source software in radiology to help streamline academic workflow and improve general efficiency and effectiveness by highlighting a number of the most useful applications currently available. These include really simple syndication applications, e-mail management, spreadsheet, word processing, database and presentation packages, as well as image and video editing software. How to incorporate this software into radiological practice will also be discussed.

Computer Graphics↗
PubMed2006

UniHI: an entry gate to the human protein interactome.

Systematic mapping of protein-protein interactions has become a central task of functional genomics. To map the human interactome, several strategies have recently been pursued. The generated interaction datasets are valuable resources for scientists in biology and medicine. However, comparison reveals limited overlap between different interaction networks. This divergence obstructs usability, as researchers have to interrogate numerous heterogeneous datasets to identify potential interaction partners for proteins of interest. To facilitate direct access through a single entry gate, we have started to integrate currently available human protein interaction data in an easily accessible online database. It is called UniHI (Unified Human Interactome) and is available at http://www.mdc-berlin.de/unihi. At present, it is based on 10 major interaction maps derived by computational and experimental methods. It includes more than 150,000 distinct interactions between more than 17 000 unique human proteins. UniHI provides researchers with a flexible integrated tool for finding and using comprehensive information about the human interactome.

Computer Graphics↗