ArticleNature methods2023
Deep learning-driven adaptive optics for single-molecule localization microscopy.
Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Graph-based modeling of optical system enables adaptive optics on dynamic samples with self-calibration.iScience · 2026Article
- smDeepFLUOR: single-molecule deep learning fluorescence classification.Nature communications · 2026Article
- A multimodal adaptive optical microscope for in vivo imaging from molecules to organisms.Nature methods · 2026Article
- Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights.Chemical & biomedical imaging · 2026Review
- Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue.Nature communications · 2026Article
- Aberration-aware 3D localization microscopy via self-supervised neural-physics learning.Nature communications · 2026Article
- Interferometric ultra-high resolution 3D imaging through brain sections.Nature communications · 2026Article
- Mirror-enhanced 4Pi-SMLM with one objective enables isotropic nanoscale imaging.Nature biotechnology · 2026Article
- Phase-based computational adaptive optics enables artifact-free super-resolution microscopy.Communications engineering · 2026Article
- Dual deconvolution in multiphoton structured illumination microscopy for deep-tissue super-resolution imaging.Nature communications · 2026Article
- Volumetric localization microscopy with deep learning.Nature communications · 2025Article
- A foundational architecture for AI agents in healthcare.Cell reports. Medicine · 2025Review
- Fourier-based three-dimensional multistage transformer for aberration correction in multicellular specimens.Nature methods · 2025Article
- In-depth single molecule localization microscopy using adaptive optics and single objective light-sheet microscopy.Nature communications · 2025Article
- Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy.Nature communications · 2025Article
- A Multimodal Adaptive Optical Microscope ForbioRxiv : the preprint server for biology · 2025Article
- Fourier-Based 3D Multistage Transformer for Aberration Correction in Multicellular Specimens.ArXiv · 2025Article
- Simultaneous particle tracking, phase retrieval and point spread function reconstruction.bioRxiv : the preprint server for biology · 2025Article
- Joint estimation of point spread function and molecule positions in SMLM informed from multiple planes.Biomedical optics express · 2025Article
- Long-Axial-Range Double-Helix Point Spread Functions for 3D Volumetric Super-Resolution Imaging.The journal of physical chemistry. B · 2024Article
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11 authors.
Funding
Abstract
The inhomogeneous refractive indices of biological tissues blur and distort single-molecule emission patterns generating image artifacts and decreasing the achievable resolution of single-molecule localization microscopy (SMLM). Conventional sensorless adaptive optics methods rely on iterative mirror changes and image-quality metrics. However, these metrics result in inconsistent metric responses and thus fundamentally limit their efficacy for aberration correction in tissues. To bypass iterative trial-then-evaluate processes, we developed deep learning-driven adaptive optics for SMLM to allow direct inference of wavefront distortion and near real-time compensation. Our trained deep neural network monitors the individual emission patterns from single-molecule experiments, infers their shared wavefront distortion, feeds the estimates through a dynamic filter and drives a deformable mirror to compensate sample-induced aberrations. We demonstrated that our method simultaneously estimates and compensates 28 wavefront deformation shapes and improves the resolution and fidelity of three-dimensional SMLM through >130-µm-thick brain tissue specimens.
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