Translation-based structured illumination microscopy via generalized Richardson-Lucy method
Abstract
Structured illumination microscopy (SIM) can achieve a resolution enhancement beyond the classical diffraction limit by employing illumination translations with respect to the object. This method has also been successfully implemented in a ``blind'' configuration, i.e., with unknown illumination patterns, allowing for more relaxed constraints on the control of illumination delivery. Here, we present a similar approach using a novel super-resolution algorithm that employs a generalized version of the popular Richardson-Lucy algorithm, alongside an optimized and customized optical setup. Both numerical and experimental validations demonstrate that our technique exhibits high noise resilience. Moreover, by implementing random translations instead of ``ordered'' ones, noise-related artifacts are reduced. These advancements enable wide-field super-resolved imaging with significantly reduced optical complexity.
Cite
@article{arxiv.2503.18786,
title = {Translation-based structured illumination microscopy via generalized Richardson-Lucy method},
author = {Valentina Capalbo and Damiana Battaglini and Marialaura Petroni and Giancarlo Ruocco and Marco Leonetti},
journal= {arXiv preprint arXiv:2503.18786},
year = {2025}
}
Comments
14 pages, 8 figures, including Appendix A and B