R 2008

3D OptiGen 0.2

SVOBODA, David, Martin MAŠKA, Jan SKALICKÝ, Michal KOZUBEK, Stanislav STEJSKAL et. al.

Basic information

Original name

3D OptiGen 0.2

Name in Czech

3D OptiGen 0.2

Authors

SVOBODA, David (203 Czech Republic, belonging to the institution), Martin MAŠKA (203 Czech Republic, belonging to the institution), Jan SKALICKÝ (203 Czech Republic, belonging to the institution), Michal KOZUBEK (203 Czech Republic, guarantor, belonging to the institution) and Stanislav STEJSKAL (203 Czech Republic, belonging to the institution)

Edition

2008

Other information

Language

English

Type of outcome

Software

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/00216224:14330/08:00027698

Organization unit

Faculty of Informatics

Keywords in English

simulation; synthetic image; synthetic biomedical object

Technical parameters

zdrojové kódy k dispozici (licence GNU GPL), vhodné pro OS Linux i Windows, závislé na balících LIBTIFF, LIBICS, LIBFFTW, LIBGSL

Tags

Tags

International impact
Změněno: 14/4/2011 10:24, doc. RNDr. David Svoboda, Ph.D.

Abstract

ORIG CZ

V originále

An improved version of "3D OptiGen" application, which is a software toolkit simulating the throughput of an image through the optical system. The new features include: larger list of cameras, objectives, microscopes, excitation and emission filters.

In Czech

Vylepšená verze aplikace "3D OptiGen", která je nástrojem simulujícím průchod libovolného obrazu optickou soustavou.

Links

2B06052, research and development project
Name: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images