Multimodal Simulations in Live Cell Imaging

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

Publisher

Springer

Other information

Language

English

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"

References:

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

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

Abstract

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

Citovat

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, 2017, p. 89-98. ISBN 978-3-319-68126-9. Available from: https://dx.doi.org/10.1007/978-3-319-68127-6_10.

@inproceedings{1391582,
   author = {Svoboda, David and Kozubek, Michal},
   address = {Neuveden},
   booktitle = {Simulation and Synthesis in Medical Imaging},
   doi = {http://dx.doi.org/10.1007/978-3-319-68127-6_10},
   edition = {LNCS 10557},
   editor = {Tsaftaris S., Gooya A., Frangi A., Prince J.},
   keywords = {Cellular Potts model; Volumetric image data; Multimodal simulation Cell imaging},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Neuveden},
   isbn = {978-3-319-68126-9},
   note = {Second International Workshop, SASHIMI 2017 Held in Conjunction with MICCAI 2017},
   pages = {89-98},
   publisher = {Springer},
   title = {Multimodal Simulations in Live Cell Imaging},
   url = {http://www.cistib.org/sashimi/},
   year = {2017}
}

TY  - JOUR
ID  - 1391582
AU  - Svoboda, David - Kozubek, Michal
PY  - 2017
TI  - Multimodal Simulations in Live Cell Imaging
PB  - Springer
CY  - Neuveden
SN  - 9783319681269
N1  - Second International Workshop, SASHIMI 2017 Held in Conjunction with MICCAI 2017
KW  - Cellular Potts model
KW  - Volumetric image data
KW  - Multimodal simulation Cell imaging
UR  - http://www.cistib.org/sashimi/
N2  - 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.
ER  -

SVOBODA, David and Michal KOZUBEK. Multimodal Simulations in Live Cell Imaging. In Tsaftaris S., Gooya A., Frangi A., Prince J. \textit{Simulation and Synthesis in Medical Imaging}. LNCS 10557. Neuveden: Springer, 2017, p.~89-98. ISBN~978-3-319-68126-9. Available from: https://dx.doi.org/10.1007/978-3-319-68127-6\_{}10.

Detailed Information on Publication Record