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Spatio-temporal registration of 3D microscopy image sequences of arabidopsis floral meristems

Michelin, Gaël ; Refahi, Yassin ; Wightman, Raymond ; Jönsson, Henrik LU ; Traas, Jan ; Godin, Christophe and Malandain, Grégoire (2016)
Abstract
The shoot apical meristem (SAM) is at the origin of all the plant above-ground organs (including stems, leaves and flowers) and is a biological object of interest for the understanding of plant morphogenesis. The quantification of tissue growth at a cellular level requires the analysis of 3D microscopic image sequences of developing meristems. To address inter-individual variability, it is also required to compare individuals. This obviously implies the ability to process inter-individual registration, i.e. to compute spatial and temporal correspondences between sequences from different meristems. In the present work, we propose a spatial registration method dedicated to microscopy floral meristem (FM) images, and the identification, for a... (More)
The shoot apical meristem (SAM) is at the origin of all the plant above-ground organs (including stems, leaves and flowers) and is a biological object of interest for the understanding of plant morphogenesis. The quantification of tissue growth at a cellular level requires the analysis of 3D microscopic image sequences of developing meristems. To address inter-individual variability, it is also required to compare individuals. This obviously implies the ability to process inter-individual registration, i.e. to compute spatial and temporal correspondences between sequences from different meristems. In the present work, we propose a spatial registration method dedicated to microscopy floral meristem (FM) images, and the identification, for a given still image of a meristem, of its best corresponding time-point in a sequence of an other individual (temporal registration). (Less)
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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Biomedical Imaging, IEEE International Symposium on
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:84978410049
ISBN
978-1-4799-2351-9
978-1-4799-2349-6
DOI
10.1109/ISBI.2016.7493464
language
English
LU publication?
yes
id
dc812e54-46a7-4e9b-8de6-1cf864d96276
date added to LUP
2019-07-31 18:03:16
date last changed
2024-01-31 04:22:15
@inproceedings{dc812e54-46a7-4e9b-8de6-1cf864d96276,
  abstract     = {{The shoot apical meristem (SAM) is at the origin of all the plant above-ground organs (including stems, leaves and flowers) and is a biological object of interest for the understanding of plant morphogenesis. The quantification of tissue growth at a cellular level requires the analysis of 3D microscopic image sequences of developing meristems. To address inter-individual variability, it is also required to compare individuals. This obviously implies the ability to process inter-individual registration, i.e. to compute spatial and temporal correspondences between sequences from different meristems. In the present work, we propose a spatial registration method dedicated to microscopy floral meristem (FM) images, and the identification, for a given still image of a meristem, of its best corresponding time-point in a sequence of an other individual (temporal registration).}},
  author       = {{Michelin, Gaël and Refahi, Yassin and Wightman, Raymond and Jönsson, Henrik and Traas, Jan and Godin, Christophe and Malandain, Grégoire}},
  booktitle    = {{Biomedical Imaging, IEEE International Symposium on}},
  isbn         = {{978-1-4799-2351-9}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Spatio-temporal registration of 3D microscopy image sequences of arabidopsis floral meristems}},
  url          = {{http://dx.doi.org/10.1109/ISBI.2016.7493464}},
  doi          = {{10.1109/ISBI.2016.7493464}},
  year         = {{2016}},
}