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

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...

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Bibliographic Details
Main Authors: Pastor-Escuredo, D., Luengo-Oroz, M. A., Duloquin, L., Lombardot, B., Ledesma-Carbayo, M., Bourgine, P., Peyrieras, N., Santos, A.
Format: Conference Proceeding
Language:English
Subjects:
"in-vivo" imaging
cell tracking
Embryo
embryogenesis
Image reconstruction
Mathematical morphology
Microscopy
multi-scale filtering
Noise
Trajectory
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Summary: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.
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2012.6235804