Abstract

High resolution imaging of molecules at the cell-substrate interface is required for understanding key biological processes. Here we propose a complete pipeline for multi-angle total internal reflection fluorescence microscopy (MA-TIRF) going from instrument design and calibration procedures to numerical reconstruction. Our custom setup is endowed with a homogeneous field illumination and precise excitation beam angle. Given a set of MA-TIRF acquisitions, we deploy an efficient joint deconvolution/reconstruction algorithm based on a variational formulation of the inverse problem. This algorithm offers the possibility of using various regularizations and can run on graphics processing unit (GPU) for rapid reconstruction. Moreover, it can be easily used with other MA-TIRF devices and we provide it as an open-source software. This ensemble has enabled us to visualize and measure with unprecedented nanometric resolution, the depth of molecular components of the fibronectin assembly machinery at the basal surface of endothelial cells.

Details

Title
Nanometric axial resolution of fibronectin assembly units achieved with an efficient reconstruction approach for multi-angle-TIRF microscopy
Author
Soubies Emmanuel 1 ; Radwanska Agata 2 ; Grall, Dominique 2 ; Blanc-Féraud Laure 3 ; Van Obberghen-Schilling Ellen 4 ; Schaub Sébastien 5 

 Université Côte d’Azur, CNRS, Inria, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282); Biomedical Imaging Group, EPFL, Lausanne, Switzerland (GRID:grid.5333.6) (ISNI:0000000121839049) 
 Université Côte d’Azur, CNRS, Inserm, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282) 
 Université Côte d’Azur, CNRS, Inria, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282) 
 Université Côte d’Azur, CNRS, Inserm, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282); Centre Antoine Lacassagne, Nice, France (GRID:grid.417812.9) (ISNI:0000 0004 0639 1794) 
 Université Côte d’Azur, CNRS, Inria, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282); Université Côte d’Azur, CNRS, Inserm, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282) 
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2179727343
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.