3D dynamic statistical atlasing of cellular parameters during leaf morphogenesis. (ICPSR doi:10.15454/SJAQND)

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Document Description

Citation

Title:

3D dynamic statistical atlasing of cellular parameters during leaf morphogenesis.

Identification Number:

doi:10.15454/SJAQND

Distributor:

Portail Data INRAE

Date of Distribution:

2019-04-09

Version:

1

Bibliographic Citation:

Selka, Faiçal; Burguet, Jasmine; Blein, Thomas; Biot, Eric; Laufs, Patrick; Andrey, Philippe, 2019, "3D dynamic statistical atlasing of cellular parameters during leaf morphogenesis.", https://doi.org/10.15454/SJAQND, Portail Data INRAE, V1

Study Description

Citation

Title:

3D dynamic statistical atlasing of cellular parameters during leaf morphogenesis.

Identification Number:

doi:10.15454/SJAQND

Authoring Entity:

Selka, Faiçal (INRA - Institut National de la Recherche Agronomique)

Burguet, Jasmine (INRA - Institut National de la Recherche Agronomique)

Blein, Thomas (IPS2- Institut des Plantes- Saclay)

Biot, Eric (INRA - Institut National de la Recherche Agronomique)

Laufs, Patrick (INRA - Institut National de la Recherche Agronomique)

Andrey, Philippe (INRA - Institut National de la Recherche Agronomique)

Producer:

Selka, Faiçal

Date of Production:

2019-04-09

Software used in Production:

Free-D

Distributor:

Portail Data INRAE

Access Authority:

Selka, Faical

Depositor:

Selka, Faical

Date of Deposit:

2019-04-09

Study Scope

Keywords:

Computer science

Abstract:

The movie shows the dynamic reconstruction of the developmental trajectory of a leaf from a collection of fixed 3D samples at successive developmental stages. Averages of cell volumes measured on individual organs are mapped using false colors. The algorithmic reconstruction was based on the establishment of an organ-centered coordinate system and on the automatic parameterization of individual organ surfaces. Point-to-point correspondences between parameterized organ surfaces allowed the computation of protopypical (average) shapes at successive developmental stages, and their subsequent interpolation. Statistical descriptors of cellular parameters measured from individual organs were projected on the reconstructed trajectory. The obtained statistical representations are representative of the populations of shapes and provide atlases of cellular parameters that will allow to correlate cell growth to the evolution of organ shape during its development. [1] F. Selka, J. Burguet, E. Biot, T. Blein, P. Laufs and P. Andrey. "Surface parameterization and registration for statistical multiscale atlasing of organ development." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), California, 2019.

Kind of Data:

Audiovisual

Methodology and Processing

Sources Statement

Data Access

Notes:

<img src="https://www.etalab.gouv.fr/wp-content/uploads/2011/10/licence-ouverte-open-licence.gif" alt="Licence Ouverte" height="100"><a href="https://www.etalab.gouv.fr/licence-ouverte-open-licence">Licence Ouverte / Open Licence Version 2.0</a> compatible CC BY

Other Study Description Materials

Related Materials

http://free-d.versailles.inra.fr

Other Study-Related Materials

Label:

dynamic-developmental-trajectory.mp4

Notes:

video/mp4