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

Tags

cbia-web

Tags

International impact, Reviewed
Změněno: 27/4/2018 10:54, RNDr. Pavel Šmerk, Ph.D.

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
Displayed: 14/11/2024 06:29