SVOBODA, David, Michal KOZUBEK and Stanislav STEJSKAL. Generation of Digital Phantoms of Cell Nuclei and Simulation of Image Formation in 3D Image Cytometry. Cytometry Part A. John Wiley & Sons, Inc., 2009, 75A, No 6, p. 494-509. ISSN 1552-4922. Available from: https://dx.doi.org/10.1002/cyto.a.20714.
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Basic information
Original name Generation of Digital Phantoms of Cell Nuclei and Simulation of Image Formation in 3D Image Cytometry
Name in Czech Generování digitálních fantomů buněčných jader a simulace tvorby obrazu v 3D obrazové cytometrii
Authors SVOBODA, David (203 Czech Republic, guarantor, belonging to the institution), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Stanislav STEJSKAL (203 Czech Republic, belonging to the institution).
Edition Cytometry Part A, John Wiley & Sons, Inc. 2009, 1552-4922.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 3.032
RIV identification code RIV/00216224:14330/09:00034932
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1002/cyto.a.20714
UT WoS 000266470100003
Keywords in English digital phantom; synthetic image; procedural texture; point spread function; fluorescence optical microscope; 3D image cytometry
Tags 3D image cytometry, cbia-web, digital phantom, fluorescence optical microscope, point spread function, procedural texture, synthetic image
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Michal Kozubek, Ph.D., učo 3740. Changed: 19/12/2016 17:46.
Abstract
Image cytometry still faces the problem of the quality of cell image analysis results. Degradations caused by cell preparation, optics and electronics considerably affect most 2D and 3D cell image data acquired using optical microscopy. That is why image processing algorithms applied to these data typically offer imprecise and unreliable results. We have created a toolbox that can generate 3D digital phantoms of specific cellular components along with their corresponding images degraded by specific optics and electronics. The user can then apply image analysis methods to such simulated image data. The analysis results can be compared with ground truth derived from input object digital phantoms. In this way, image analysis methods can be compared to each other and their quality can be computed. We have also evaluated the plausibility of the synthetic images, measured by their similarity to real image data.
Abstract (in Czech)
V obrazové cytometrii se denně setkáváme s problémem kvality snímků buněk a zejména s problémem kvality analyzačních metod. Jedním ze způsobů měření kvality těchto metod je využití tzv. fantomů. V tomto článku je popsán postup, jakým způsobem vygenerovat digiální fantomy pro specifické druhy biomedicínských dat. Dále se zde také popsána simulace průchodu obrazu takového fantomu optickou soustavou a simulace snímání. Celkově je zde definován popis, jakým způsobem je možné generovat umělá obrazová data. Součástí textu je také měření kvality takto vygenerovaných dat a jejich srovnání s původními realnými obrazovými daty.
Links
LC535, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
Investor: Ministry of Education, Youth and Sports of the CR, Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
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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