Cell tracking accuracy measurement based on comparison of acyclic oriented graphs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00080576" target="_blank" >RIV/00216224:14330/15:00080576 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68081707:_____/15:00456332

Výsledek na webu

<a href="http://dx.doi.org/10.1371/journal.pone.0144959" target="_blank" >http://dx.doi.org/10.1371/journal.pone.0144959</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pone.0144959" target="_blank" >10.1371/journal.pone.0144959</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cell tracking accuracy measurement based on comparison of acyclic oriented graphs

Popis výsledku v původním jazyce

Tracking motile cells in time-lapse series is challenging and is required in many biomedical applications. Cell tracks can be mathematically represented as acyclic oriented graphs. Their vertices describe the spatio-temporal locations of individual cells, whereas the edges represent temporal relationships between them. Such a representation maintains the knowledge of all important cellular events within a captured field of view, such as migration, division, death, and transit through the field of view.The increasing number of cell tracking algorithms calls for comparison of their performance. However, the lack of a standardized cell tracking accuracy measure makes the comparison impracticable. This paper defines and evaluates an accuracy measure for objective and systematic benchmarking of cell tracking algorithms. The measure assumes the existence of a ground-truth reference, and assesses how difficult it is to transform a computed graph into the reference one.

Název v anglickém jazyce

Cell tracking accuracy measurement based on comparison of acyclic oriented graphs

Popis výsledku anglicky

Tracking motile cells in time-lapse series is challenging and is required in many biomedical applications. Cell tracks can be mathematically represented as acyclic oriented graphs. Their vertices describe the spatio-temporal locations of individual cells, whereas the edges represent temporal relationships between them. Such a representation maintains the knowledge of all important cellular events within a captured field of view, such as migration, division, death, and transit through the field of view.The increasing number of cell tracking algorithms calls for comparison of their performance. However, the lack of a standardized cell tracking accuracy measure makes the comparison impracticable. This paper defines and evaluates an accuracy measure for objective and systematic benchmarking of cell tracking algorithms. The measure assumes the existence of a ground-truth reference, and assesses how difficult it is to transform a computed graph into the reference one.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BO - Biofyzika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

PLoS ONE

ISSN

1932-6203

e-ISSN

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Svazek periodika

10

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

"e0144959"

Kód UT WoS článku

000366725800027

EID výsledku v databázi Scopus

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