Intensity-based matching and registration for 3D correlative microscopy with large discrepancies

Bertha Mayela Toledo Acosta 1 Xavier Heiligenstein 2 Grégoire Malandain 3 Patrick Bouthemy 1
3 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : Correlative microscopy, especially light and electron microscopy (CLEM), enables the study of cells and subcellular elements in complementary ways, provided a reliable registration between images is efficiently achievable. We propose a general automatic registration method. Due to large discrepancies in appearance, field-of-view, resolution and position, a pre-alignment stage is required before any 3D fine registration stage. We define an intensity-based method for both stages, which leverages a common representation of the two involved image modalities. We report experimental results on different real datasets of 3D correlative microscopy, demonstrating time efficiency and overlay accuracy.
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Bertha Mayela Toledo Acosta, Xavier Heiligenstein, Grégoire Malandain, Patrick Bouthemy. Intensity-based matching and registration for 3D correlative microscopy with large discrepancies. ISBI 2018 - IEEE 15th International Symposium on Biomedical Imaging, Apr 2018, Washington, United States. pp.493-496, ⟨10.1109/ISBI.2018.8363623⟩. ⟨hal-01930740⟩

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