SVOBODA, David and Michal KOZUBEK. Multimodal Simulations in Live Cell Imaging. In Tsaftaris S., Gooya A., Frangi A., Prince J. Simulation and Synthesis in Medical Imaging. LNCS 10557. Neuveden: Springer. p. 89-98. ISBN 978-3-319-68126-9. doi:10.1007/978-3-319-68127-6_10. 2017.
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Basic information
Original name Multimodal Simulations in Live Cell Imaging
Authors SVOBODA, David (203 Czech Republic, guarantor, belonging to the institution) and Michal KOZUBEK (203 Czech Republic, belonging to the institution).
Edition LNCS 10557. Neuveden, Simulation and Synthesis in Medical Imaging, p. 89-98, 10 pp. 2017.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Canada
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/17:00095035
Organization unit Faculty of Informatics
ISBN 978-3-319-68126-9
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-68127-6_10
Keywords in English Cellular Potts model; Volumetric image data; Multimodal simulation Cell imaging
Tags cbia-web
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/4/2018 10:54.
Abstract
During the last two decades a large amount of new simulation frameworks in the field of cell imaging has emerged. They were expected to serve as performance assessment tools for newly developed as well as for already existing cell segmentation or tracking algorithms. These simulators have typically been designed as single purpose tools. They generate the synthetic image data for one particular modality and one particular cell type. In this study, we introduce a novel multipurpose simulation framework, which produces the synthetic time-lapse image sequences of living endothelial cells for two different modalities: fluorescence and phase contrast microscopy, both in widefield or confocal mode. This may help in evaluating a wider range of desired image processing algorithms across multiple modalities.
Links
GA17-05048S, research and development projectName: Segmentace a trekování živých buněk v multimodálních obrazech
Investor: Czech Science Foundation
PrintDisplayed: 19/4/2024 16:52