3D+t Morphological Processing: Applications to Embryogenesis Image Analysis
We propose to directly process 3D + t image sequences with mathematical morphology operators, using a new classification of the 3D + t structuring elements. Several methods (filtering, tracking, segmentation) dedicated to the analysis of 3D + t datasets of zebrafish embryogenesis are introduced and validated through a synthetic dataset. Then, we illustrate the application of these methods to the analysis of datasets of zebrafish early development acquired with various microscopy techniques. This processing paradigm produces spatio-temporal coherent results as it benefits from the intrinsic redundancy of the temporal dimension, and minimizes the needs for human intervention in semi-automatic algorithms.
zebrafish embryogenesis 3d+t mathematical morphology in-vivo light microscopy spatio-temporal structuring elements