Multimodal Simulations in Live Cell Imaging

D 2017

Multimodal Simulations in Live Cell Imaging

SVOBODA, David a Michal KOZUBEK

Základní údaje

Originální název

Multimodal Simulations in Live Cell Imaging

Autoři

SVOBODA, David (203 Česká republika, garant, domácí) a Michal KOZUBEK (203 Česká republika, domácí)

Vydání

LNCS 10557. Neuveden, Simulation and Synthesis in Medical Imaging, od s. 89-98, 10 s. 2017

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Kanada

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/17:00095035

Organizační jednotka

Fakulta informatiky

ISBN

978-3-319-68126-9

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-68127-6_10

Klíčová slova anglicky

Cellular Potts model; Volumetric image data; Multimodal simulation Cell imaging

Štítky

cbia-web

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 4. 2018 10:54, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.

Návaznosti

GA17-05048S, projekt VaV

Název: Segmentace a trekování živých buněk v multimodálních obrazech

Investor: Grantová agentura ČR, Segmentace a trekování živých buněk v multimodálních obrazech

Citovat

SVOBODA, David a 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, s. 89-98. ISBN 978-3-319-68126-9. Dostupné z: 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 a 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, s.~89-98. ISBN~978-3-319-68126-9. Dostupné z: https://dx.doi.org/10.1007/978-3-319-68127-6\_{}10.

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