A joint Richardson-Lucy deconvolution algorithm for the reconstruction of multifocal structured illumination microscopy data
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Published on: May 30, 2016
Florian Ströhl1, Clemens F Kaminski
1Advanced Optical Technologies (AOT), University of Erlangen-Nuremberg, Paul Gordan Straße 6, 91052 Erlangen, Germany. Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge, CB2 3RA, UK.
Abstract:
We demonstrate the reconstruction of images obtained by multifocal structured illumination microscopy, MSIM, using a joint Richardson-Lucy, jRL-MSIM, deconvolution algorithm, which is based on an underlying widefield image-formation model. The method is efficient in the suppression of out-of-focus light and greatly improves image contrast and resolution. Furthermore, it is particularly well suited for the processing of noise corrupted data. The principle is verified on simulated as well as experimental data and a comparison of the jRL-MSIM approach with the standard reconstruction procedure, which is based on image scanning microscopy, ISM, is made. Our algorithm is efficient and freely available in a user friendly software package.
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