We introduce and demonstrate a new high performance image reconstruction method for super-resolution structured illumination microscopy based on maximum a posteriori probability estimation (MAP-SIM). Imaging performance is demonstrated on a variety of fluorescent samples of different thickness, labeling density and noise levels. The method provides good suppression of out of focus light, improves spatial resolution, and allows reconstruction of both 2D and 3D images of cells even in the case of weak signals. The method can be used to process both optical sectioning and super-resolution structured illumination microscopy data to create high quality super-resolution images.
Full Title: 3D super-resolution structured illumination microscopy with maximum a posteriori probability image estimation
Authors: Tomáš Lukeš, Pavel Křížek, Zdeněk Švindrych, Jakub Benda, Martin Ovesný, Karel Fliegel, Miloš Klíma, and Guy M. Hagen
Optics Express, vol. 22, no. 24, November 2014
Paper is published as an open access and can be freely downloaded at the Optics Express web page dedicated to this publication.
In the future, we intend to make the code also publicly available and we are going to upload additional files to this website. For more information, you may contact the first author email@example.com.
Figure description >>>
Comparison of different imaging methods. Drosophila salivary gland chromosome sample. (a, d) Widefield image and region of interest.
(b, e) Square-law method and ROI. (c, f) MAP-SIM and ROI. (g) Line profile of the images, indicated by the white line in (a). (h) Plot of normalized power spectral density vs. reduced spatial frequency for widefield, square law, and MAP-SIM approaches.