NDLI: Combining sea urchin embryo cell lineages by error-tolerant graph matching

Content Provider	IEEE Xplore Digital Library
Author	Rubio-Guivernau, J.L. Luengo-Oroz, M.A. Duloquin, L. Savy, T. Peyrieras, N. Bourgine, P. Santos, A.
Copyright Year	2009
Description	Author affiliation: DEPSN, CNRS, Institut de Neurobiologie Alfred Fessard, Gif-sur-Yvette 91190, France (Duloquin, L.; Peyrieras, N.) \|\| Biomedical Image Technologies Lab, DIE-ETSIT, Universidad Politécnica de Madrid, Madrid, Spain (Rubio-Guivernau, J.L.; Luengo-Oroz, M.A.; Savy, T.; Santos, A.) \|\| CREA-Ecole Polytechnique, Paris 75015, France (Bourgine, P.)
Abstract	Obtaining the complete cell lineage tree of an embryo’s development is a very appealing and ambitious goal, but fortunately recent developments both in optical imaging and digital image processing are bringing it closer. However, when imaging the embryos (sea urchin embryos for this work) with high enough spatial resolution and short enough time-step to make cell segmentation and tracking possible, it is currently not possible to image the specimen throughout its all embryogenesis. For this reason it is interesting to explore how cell lineage trees extracted from two different embryos of the same species and imaged for overlapping periods of time can be concatenated, resulting in a single lineage tree covering both embryos’ development time frames. To achieve this we used an error-tolerant graph matching strategy by selecting a time point at which both lineage trees overlap, and representing the information about each embryo at that time point as a graph in which nodes stand for cells and edges for neighborhood relationships among cells. The expected output of the graph matching algorithm is the minimal-cost correspondence between cells of both specimens, allowing us to perform the lineage combination.
Starting Page	5918
Ending Page	5921
File Size	833259
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334851
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Embryo Tree graphs Optical imaging Spatial resolution Image segmentation Cells (biology) Animals USA Councils Digital images High-resolution imaging
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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