Journal papers
Ruiming Cao; Guanghan Meng; Laura Waller
Sample motion for structured illumination fluorescence microscopy Journal Article
In: Opt. Lett., vol. 50, no. 12, pp. 4074–4077, 2025.
Abstract | Links | BibTeX | Tags: Diffraction limit; Fourier transforms; Imaging systems; Spatial light modulators; Speckle patterns; Structured illumination microscopy
@article{Cao:25,
title = {Sample motion for structured illumination fluorescence microscopy},
author = {Ruiming Cao and Guanghan Meng and Laura Waller},
url = {https://opg.optica.org/ol/abstract.cfm?URI=ol-50-12-4074},
doi = {10.1364/OL.560873},
year = {2025},
date = {2025-06-01},
journal = {Opt. Lett.},
volume = {50},
number = {12},
pages = {4074–4077},
publisher = {Optica Publishing Group},
abstract = {Structured illumination microscopy (SIM) uses a set of images captured with different illumination patterns to computationally reconstruct resolution beyond the diffraction limit. Here, we propose an alternative approach using a single speckle illumination pattern and relying on inherent sample motion to encode the super-resolved information in multiple raw images. From a set of raw fluorescence images captured as the sample moves, we jointly estimate both the sample motion and the super-resolved image. We demonstrate the feasibility of the proposed method both in simulation and in experiment.},
keywords = {Diffraction limit; Fourier transforms; Imaging systems; Spatial light modulators; Speckle patterns; Structured illumination microscopy},
pubstate = {published},
tppubtype = {article}
}
Structured illumination microscopy (SIM) uses a set of images captured with different illumination patterns to computationally reconstruct resolution beyond the diffraction limit. Here, we propose an alternative approach using a single speckle illumination pattern and relying on inherent sample motion to encode the super-resolved information in multiple raw images. From a set of raw fluorescence images captured as the sample moves, we jointly estimate both the sample motion and the super-resolved image. We demonstrate the feasibility of the proposed method both in simulation and in experiment.