Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Results

Colocalization and co-orientation in fluorescence imaging

Participant : Charles Kervrann.

In the context of bioimaging, colocalization refers to the detection of emissions from two or more fluorescent molecules within the same pixel of the image. It enables to quantify the protein-protein interactions inside the cell, just at the resolution limit of the microscope. Colocalization is an open problem for which no satisfying solution has been found up to now. Accordingly, we proposed an objective, robust-to-noise colocalization method (GcoPS – Geo-coPositioning System) which only requires the adjustment of a p-value that guarantees more reproducibility and more objective interpretation. It is based on the statistical analysis of the intersection (area or volume) between the two (2D or 3D) binary segmented images. In the context of super-localization imaging, we exploit the localization uncertainty of molecules to generate two input binary images. A the end, GcoPS handles 2D and 3D images, variable signal-to-noise ratios and any fluorescence image pair acquired with conventional or super-resolution microscopy. To our knowledge, no existing method offers the same robustness and precision level with such an easy control of the algorithm. In a recent study, we adapted the GcoPS framework to analyze the spatiotemporal molecular interactions from a set of 3D computed trajectories or motion vector fields (e.g., co-alignment), and then to fully quantify specific molecular machineries.

Collaborators: Frédéric Lavancier (University of Nantes, Laboratoire de Mathématiques Jean Leray),

                          Thierry Pécot (Hollings Cancer Center at the Medical University of South Carolina),

                          Jean Salamero and Liu Zengzhen (UMR 144 CNRS-Institut Curie).