ArticleBiomedical optics express2018
Image restoration approach to address reduced modulation contrast in structured illumination microscopy.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- In situ submitochondrial mapping in living plants via Hessian Structured Illumination Microscopy.The New phytologist · 2026Article
- Widefield Targeted Illumination Microscopy Enables Optically-Sectioned, Motion-Resilient Imaging of Neuronal Fibers and Their Dynamics.Laser & photonics reviews · 2025Article
- A method for the reconstruction of multifocal structured illumination microscopy data with high efficiency.Scientific reports · 2019Article
- Image restoration approach to address reduced modulation contrast in structured illumination microscopy.Biomedical optics express · 2018Article
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Authors and funding
3 authors.
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Abstract
The performance of structured illumination microscopy (SIM) is hampered in many biological applications due to the inability to modulate the light when imaging deep into the sample. This is in part because sample-induced aberration reduces the modulation contrast of the structured pattern. In this paper, we present an image restoration approach suitable for processing raw incoherent-grid-projection SIM data with a low fringe contrast. Restoration results from simulated and experimental ApoTome SIM data show results with improved signal-to-noise ratio (SNR) and optical sectioning compared to the results obtained from existing methods, such as 2D demodulation and 3D SIM deconvolution. Our proposed method provides satisfactory results (quantified by the achieved SNR and normalized mean square error) even when the modulation contrast of the illumination pattern is as low as 7%.
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