Robust Plant Cell Tracking in Fluorescence Microscopy 3D+T Series

Automatic tracking of cell deformation during development using time-lapse confocal microscopy is a challenging task. In plant cell tissues, large deformations and several division cycles can occur be-tween two consecutive time-points making the image registration and tracking procedure particularly...

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Bibliographic Details
Main Authors: Petit, Manuel, Cerutti, Guillaume, Godin, Christophe, Malandain, Gregoire
Format: Conference Proceeding
Language:English
Subjects:
cell tracking
Ethics
Fluorescence
Fluorescence microscopy
Image registration
Image segmentation
Measurement
meristem
Microscopy
morphogenesis
plant
Quality assessment
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Summary:Automatic tracking of cell deformation during development using time-lapse confocal microscopy is a challenging task. In plant cell tissues, large deformations and several division cycles can occur be-tween two consecutive time-points making the image registration and tracking procedure particularly difficult. Here, we propose an iterative approach where an initial registration transformation and cell-to-cell mapping are alternatively refined using high-confidence associations selected on the basis of a geometric context preservation score. The method, evaluated on a long time-lapse series of floral meristem, clearly demonstrates its superiority over a non-iterative approach. In addition, we show that the geometric context preservation score can be used to define a lineage quality assessment metric that makes it possible for an expert to provide locally nudges to finalize the lineage detection if necessary in a semi-automatic way.
ISSN:1945-8452
DOI:10.1109/ISBI52829.2022.9761521