ArticleNature methods2021
Structured illumination microscopy with noise-controlled image reconstructions.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- SIMworks-an integrated software suite for quality-controlled augmented quantitative structured illumination microscopy.Nature protocols · 2026Review
- Application of gradient-consensus Richardson-Lucy deconvolution to noisy undersampled brightfield microscopy data.Biomedical optics express · 2026Article
- Integrating the Contrasting Perspectives Between the Constrained Disorder Principle and Deterministic Optical Nanoscopy: Enhancing Information Extraction from Imaging of Complex Systems.Bioengineering (Basel, Switzerland) · 2026Article
- Visualizing intraorganellar ultrastructures, dynamics, and interactions with open-access background-free Lock-in-SIM.Nature communications · 2025Article
- Cellular optical imaging techniques: a dynamic advancing frontier.Science China. Life sciences · 2025Review
- Deep3DSIM: Super-resolution imaging of thick tissue using 3D structured illumination with adaptive optics.eLife · 2025Article
- Principal component analysis for three-dimensional structured illumination microscopy (PCA-3DSIM).Light, science & applications · 2025Article
- Resolution in super-resolution microscopy - facts, artifacts, technological advancements and biological applications.Journal of cell science · 2025Article
- Fast reconstruction and optical-sectioning three-dimensional structured illumination microscopy.Innovation (Cambridge (Mass.)) · 2025Article
- Noise amplification and ill-convergence of Richardson-Lucy deconvolution.Nature communications · 2025Article
- Approaching maximum resolution in structured illumination microscopy via accurate noise modeling.Npj imaging · 2025Article
- Resolution in super-resolution microscopy - definition, trade-offs and perspectives.Nature reviews. Molecular cell biology · 2024Article
- Approaching Maximum Resolution in Structured Illumination Microscopy via Accurate Noise Modeling.bioRxiv : the preprint server for biology · 2024Article
- Ultra-high spatio-temporal resolution imaging with parallel acquisition-readout structured illumination microscopy (PAR-SIM).Light, science & applications · 2024Article
- Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data.GigaScience · 2024Article
- Facile Conversion and Optimization of Structured Illumination Image Reconstruction Code into the GPU Environment.International journal of biomedical imaging · 2024Article
- Image restoration in frequency space using complex-valued CNNs.Frontiers in artificial intelligence · 2024Article
- Article
- Optimal sparsity allows reliable system-aware restoration of fluorescence microscopy images.Science advances · 2023Article
- Open-3DSIM: an open-source three-dimensional structured illumination microscopy reconstruction platform.Nature methods · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Super-resolution structured illumination microscopy (SIM) has become a widely used method for biological imaging. Standard reconstruction algorithms, however, are prone to generate noise-specific artifacts that limit their applicability for lower signal-to-noise data. Here we present a physically realistic noise model that explains the structured noise artifact, which we then use to motivate new complementary reconstruction approaches. True-Wiener-filtered SIM optimizes contrast given the available signal-to-noise ratio, and flat-noise SIM fully overcomes the structured noise artifact while maintaining resolving power. Both methods eliminate ad hoc user-adjustable reconstruction parameters in favor of physical parameters, enhancing objectivity. The new reconstructions point to a trade-off between contrast and a natural noise appearance. This trade-off can be partly overcome by further notch filtering but at the expense of a decrease in signal-to-noise ratio. The benefits of the proposed approaches are demonstrated on focal adhesion and tubulin samples in two and three dimensions, and on nanofabricated fluorescent test patterns.
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Registered trials
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