Robust Plant Cell Tracking in Fluorescence Microscopy 3D+T Series - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2022

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 between 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.
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hal-03683119 , version 1 (19-12-2022)



Manuel Petit, Guillaume Cerutti, Christophe Godin, Grégoire Malandain. Robust Plant Cell Tracking in Fluorescence Microscopy 3D+T Series. ISBI 2022 - IEEE 19th International Symposium on Biomedical Imaging, Mar 2022, Kolkata, India. pp.1-4, ⟨10.1109/ISBI52829.2022.9761521⟩. ⟨hal-03683119⟩
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