All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00080843" target="_blank" >RIV/00216224:14330/15:00080843 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-23231-7_56" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23231-7_56</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-23231-7_56" target="_blank" >10.1007/978-3-319-23231-7_56</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells

  • Original language description

    In biomedical image processing, correct tracking of individual cells is important task for the study of dynamic cellular processes. It is, however, often difficult to decide whether obtained tracking results are correct or not. This is mainly due to complexity of the data that can show hundreds of cells, due to improper data sampling either in time or in space, or when the time-lapse sequence consists of blurred noisy images. This prohibits manual extraction of reliable ground truth (GT) data as well. Nonetheless, if reliable testing data with GT were available, one could compare the results of the examined tracking algorithm with the GT and assess its performance quantitatively. In this paper, we introduce a novel versatile tool capable of generating2D image sequences showing simulated living cell populations with GT for evaluation of biomedical tracking. The simulated events include namely cell motion, cell division, and cell clustering up to tissue-level density.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-22461S" target="_blank" >GA14-22461S: Development and Study of Methods for Live Cell Quantification</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 18th International Conference on Image Analysis and Processing

  • ISBN

    9783319232300

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    623-634

  • Publisher name

    Springer International Publishing

  • Place of publication

    Heidelberg, Německo

  • Event location

    Janov

  • Event date

    Sep 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000364991200056