Three-dimensional structured illumination microscopy using Lukosz bound apodization reduces pixel negativity at no resolution cost
Author(s) -
Christiaan H. Righolt,
Sabine Mai,
Lucas J. van Vliet,
Sjoerd Stallinga
Publication year - 2014
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.22.011215
Subject(s) - apodization , pixel , optics , holography , ringing , microscopy , filter (signal processing) , resolution (logic) , image quality , reduction (mathematics) , physics , image resolution , image (mathematics) , materials science , computer science , artificial intelligence , computer vision , mathematics , geometry
The quality of the reconstructed image in structured illumination microscopy (SIM) depends on various aspects of the image filtering process. To optimize the trade-off between resolution and ringing artifacts, which lead to negative intensities, we extend Lukosz-bound filtering to 3D SIM and derive the parametrization of the 3D SIM cut-off. We compare the use of the Lukosz-bound as apodization filter to triangular apodization and find a tenfold reduction in the most negative pixel value with a minimal resolution loss. We test this algorithm on experimental SIM images of tubulin filaments and DAPI stained DNA structure in cancer cells and find a substantial reduction in the most negative pixel value and the percentage of pixels with a negative value. This means that there is no longer a need to clip the final image to avoid these negative pixel values.
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