D
2017
Multimodal Simulations in Live Cell Imaging
SVOBODA, David and Michal KOZUBEK
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
Other information
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Canada
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/17:00095035
Organization unit
Faculty of Informatics
Keywords in English
Cellular Potts model; Volumetric image data; Multimodal simulation Cell imaging
Tags
International impact, Reviewed
V originále
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 project | Name: Segmentace a trekování živých buněk v multimodálních obrazech | Investor: Czech Science Foundation |
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Displayed: 14/11/2024 06:29