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https://github.com/esoubies/ma-tirf_reconstruction

Multi-angle total internal reflection fluorescence microscopy (MA-TIRF) reconstruction algorithm which jointly performs volume reconstruction, deconvolution, and background estimation.
https://github.com/esoubies/ma-tirf_reconstruction

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Multi-angle total internal reflection fluorescence microscopy (MA-TIRF) reconstruction algorithm which jointly performs volume reconstruction, deconvolution, and background estimation.

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# MA-TIRF_Reconstruction

## Description

Multi-angle total internal reflection fluorescence microscopy (MA-TIRFM) reconstruction algorithm which jointly performs volume reconstruction, deconvolution, and background estimation. More details can be found in the following papers:

Nanometric Axial Resolution of Fibronectin Assembly Units Achieved with an Efficient Reconstruction Approach for Multi-Angle-TIRF Microscopy.
Scientific Reports, 9-1, 2019.

Emmanuel Soubies, Agata Radwanska, Dominique Grall, Laure Blanc-Féraud, Ellen Van Obberghen-Schilling, and Sébastien Schaub.

Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation.
Proc. ISBI, 2019.

Emmanuel Soubies, Laure Blanc-Féraud, Sébastien Schaub, Ellen Van Obberghen-Schilling.





Left: MA-TIRF acquisitions. Right: Color-coded depth representation of the reconstructed volume (0--300nm).

## Requirements

The code requires the GlobalBioIm library v1.1.2 (or more recent releases) https://biomedical-imaging-group.github.io/GlobalBioIm/

## Repository content
* main function **RecTIRF.m**
* function **TIRF_matrix.m** which creates the MA-TIRF matrix given physical parameters
* function **OptiADMMtirf.m** : ADMM class derived from the OptiADMM class of GlobalBioIm
* function **getColorCodedDepthFig.m** which generates the color-coded depth representation of the reconstructed image
* folder **Example** containing a simple example of use in **Script.m**