ArticleNature photonics2025
Structured detection for simultaneous super-resolution and optical sectioning in laser scanning microscopy.
Article in Nature photonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Breaking the 100-nm resolution barrier with multiphoton microscopy using image scanning microscopy and optical fluctuation imaging.Journal of biomedical optics · 2026Article
- Interferometric Image Scanning Microscopy for label-free imaging at 120 nm lateral resolution inside live cells.Light, science & applications · 2026Article
- Low-cost 3D-printed optics for super-resolution multifocal structured illumination microscopy.Biomedical optics express · 2026Article
- Multi-modal label-free imaging of cellular metabolism and oxidative stress in 3D brain tissue models.Communications biology · 2025Article
- Array detection enables large localization range for simple and robust MINFLUX.Light, science & applications · 2025Article
- Wavefront estimation through structured detection in laser scanning microscopy.Biomedical optics express · 2025Article
- Structured detection for simultaneous super-resolution and optical sectioning in laser scanning microscopy.Nature photonics · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
Fast detector arrays enable an effective implementation of image scanning microscopy, which overcomes the trade-off between spatial resolution and signal-to-noise ratio of confocal microscopy. However, current image scanning microscopy approaches do not provide optical sectioning and fail with thick samples unless the detector size is limited, thereby introducing a new trade-off between optical sectioning and signal-to-noise ratio. Here we propose a method that overcomes such a limitation. From single-plane acquisition, we reconstruct an image with digital and optical super-resolution, high signal-to-noise ratio and enhanced optical sectioning. On the basis of the observation that imaging with a detector array inherently embeds axial information, we designed a straightforward reconstruction algorithm that inverts the physical model of image scanning microscopy image formation. We present a comprehensive theoretical framework and validate our method with images of biological samples captured using a custom setup equipped with a single-photon avalanche diode array detector. We demonstrate the feasibility of our approach by exciting fluorescence emission in both linear and nonlinear regimes. Moreover, we generalize the algorithm for fluorescence lifetime imaging, fully exploiting the single-photon timing ability of the single-photon avalanche diode array detector. Our method outperforms conventional reconstruction techniques and can be extended to any laser scanning microscopy technique.
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