ULMAN, Vladimír, David SVOBODA, Matti NYKTER, Michal KOZUBEK and Pekka RUUSUVUORI. Virtual cell imaging: A review on simulation methods employed in image cytometry. Cytometry Part A. John Wiley & Sons, 2016, 89A, No 12, p. 1057-1072. ISSN 1552-4922. doi:10.1002/cyto.a.23031.
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Basic information
Original name Virtual cell imaging: A review on simulation methods employed in image cytometry
Authors ULMAN, Vladimír (203 Czech Republic, belonging to the institution), David SVOBODA (203 Czech Republic, belonging to the institution), Matti NYKTER (246 Finland), Michal KOZUBEK (203 Czech Republic, guarantor, belonging to the institution) and Pekka RUUSUVUORI (246 Finland).
Edition Cytometry Part A, John Wiley & Sons, 2016, 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: 3.222
RIV identification code RIV/00216224:14330/16:00088328
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1002/cyto.a.23031
UT WoS 000392724500004
Keywords in English cell imaging; virtual imaging; simulation; digital cell; cell model; digital phantom; ground truth; validation; image cytometry
Tags CBIA, cbia-web
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/4/2017 06:57.
The simulations of cells and microscope images thereof have been used to facilitate the development, selection, and validation of image analysis algorithms employed in cytometry as well as for modeling and understanding cell structure and dynamics beyond what is visible in the eyepiece. The simulation approaches vary from simple parametric models of specific cell components—especially shapes of cells and cell nuclei—to learning-based synthesis and multi-stage simulation models for complex scenes that simultaneously visualize multiple object types and incorporate various properties of the imaged objects and laws of image formation. This review covers advances in artificial digital cell generation at scales ranging from particles up to tissue synthesis and microscope image simulation methods, provides examples of the use of simulated images for various purposes ranging from subcellular object detection to cell tracking, and discusses how such simulators have been validated. Finally, the future possibilities and limitations of simulation-based validation are considered.
GBP302/12/G157, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii
Investor: Czech Science Foundation, Projects to promote excellence in basic research
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