J 2014

A Benchmark for Comparison of Cell Tracking Algorithms

MAŠKA, Martin, Vladimír ULMAN, David SVOBODA, Pavel MATULA, Petr MATULA et. al.

Basic information

Original name

A Benchmark for Comparison of Cell Tracking Algorithms

Authors

MAŠKA, Martin (203 Czech Republic, guarantor, belonging to the institution), Vladimír ULMAN (203 Czech Republic, belonging to the institution), David SVOBODA (203 Czech Republic, belonging to the institution), Pavel MATULA (203 Czech Republic, belonging to the institution), Petr MATULA (203 Czech Republic, belonging to the institution), Cristina EDERRA (724 Spain), Ainhoa URBIOLA (724 Spain), Tomás ESPAÑA (724 Spain), Subramanian VENKATESAN (356 India), Deepak M W BALAK (356 India), Pavel KARAS (203 Czech Republic, belonging to the institution), Tereza BOLCKOVÁ (203 Czech Republic, belonging to the institution), Markéta ŠTREITOVÁ (203 Czech Republic, belonging to the institution), Craig CARTHEL (840 United States of America), Stefano CORALUPPI (840 United States of America), Nathalie HARDER (276 Germany), Karl ROHR (276 Germany), Klas E G MAGNUSSON (752 Sweden), Joakim JALDÉN (752 Sweden), Helen M BLAU (826 United Kingdom of Great Britain and Northern Ireland), Oleh DZYUBACHYK (804 Ukraine), Pavel KŘÍŽEK (203 Czech Republic), Guy M HAGEN (528 Netherlands), David PASTOR-ESCUREDO (724 Spain), Daniel JIMENEZ-CARRETERO (724 Spain), Maria J LEDESMA-CARBAYO (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Erik MEIJERING (528 Netherlands), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Carlos ORTIZ-DE-SOLORZANO (724 Spain)

Edition

Bioinformatics, 2014, 1367-4803

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 4.981

RIV identification code

RIV/00216224:14330/14:00073448

Organization unit

Faculty of Informatics

UT WoS

000337040200016

Keywords in English

cell tracking; fluorescence microscopy

Tags

Tags

International impact, Reviewed
Změněno: 13/4/2018 14:54, doc. RNDr. Martin Maška, Ph.D.

Abstract

V originále

Automatic tracking of cells in multidimensional time-lapse fluorescence microscopy is an important task in many biomedical applications. A novel framework for objective evaluation of cell tracking algorithms has been established under the auspices of the IEEE International Symposium on Biomedical Imaging 2013 Cell Tracking Challenge. In this article, we present the logistics, datasets, methods and results of the challenge and lay down the principles for future uses of this benchmark.

Links

EE2.3.30.0009, research and development project
Name: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci
GBP302/12/G157, research and development project
Name: Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii
Investor: Czech Science Foundation