Spatio-temporal filtering with morphological operators for robust cell migration estimation in "in-vivo" images

Pastor Escuredo, David and Luengo Oroz, Miguel Ángel and Duloquin, Louise and Lombardot, Benoit and Ledesma Carbayo, María Jesús and Bourgine, Paul and Peyrieras, Nadine and Santos Lleo, Andres de (2012). Spatio-temporal filtering with morphological operators for robust cell migration estimation in "in-vivo" images. In: "9th IEEE International Symposium on Biomedical Imaging (ISBI)", 02/05/2012 - 05/05/2012, Barcelona, Spain. pp. 1312-1315. https://doi.org/10.1109/ISBI.2012.6235804.

Description

Title: Spatio-temporal filtering with morphological operators for robust cell migration estimation in "in-vivo" images
Author/s:
  • Pastor Escuredo, David
  • Luengo Oroz, Miguel Ángel
  • Duloquin, Louise
  • Lombardot, Benoit
  • Ledesma Carbayo, María Jesús
  • Bourgine, Paul
  • Peyrieras, Nadine
  • Santos Lleo, Andres de
Item Type: Presentation at Congress or Conference (Article)
Event Title: 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Event Dates: 02/05/2012 - 05/05/2012
Event Location: Barcelona, Spain
Title of Book: IEEE International Symposium on Biomedical Imaging (ISBI)
Date: 2012
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The understanding of the embryogenesis in living systems requires reliable quantitative analysis of the cell migration throughout all the stages of development. This is a major challenge of the "in-toto" reconstruction based on different modalities of "in-vivo" imaging techniques -spatio-temporal resolution and image artifacts and noise. Several methods for cell tracking are available, but expensive manual interaction -time and human resources- is always required to enforce coherence. Because of this limitation it is necessary to restrict the experiments or assume an uncontrolled error rate. Is it possible to obtain automated reliable measurements of migration? can we provide a seed for biologists to complete cell lineages efficiently? We propose a filtering technique that considers trajectories as spatio-temporal connected structures that prunes out those that might introduce noise and false positives by using multi-dimensional morphological operators.

More information

Item ID: 19791
DC Identifier: http://oa.upm.es/19791/
OAI Identifier: oai:oa.upm.es:19791
DOI: 10.1109/ISBI.2012.6235804
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6235804&tag=1
Deposited by: Memoria Investigacion
Deposited on: 17 Sep 2013 17:28
Last Modified: 21 Apr 2016 21:15
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