SVOBODA, David, Martin MAŠKA, Jan SKALICKÝ, Michal KOZUBEK and Stanislav STEJSKAL. 3D OptiGen 0.2. 2008.
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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
Original 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 is not subject to a state or trade secret
WWW URL
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 simulation, synthetic biomedical object, synthetic image
Tags International impact
Changed by Changed by: doc. RNDr. David Svoboda, Ph.D., učo 2824. Changed: 14/4/2011 10:24.
Abstract
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.
Abstract (in Czech)
Vylepšená verze aplikace "3D OptiGen", která je nástrojem simulujícím průchod libovolného obrazu optickou soustavou.
Links
2B06052, research and development projectName: 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
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