ArticleNature methods2024
Universal inverse modeling of point spread functions for SMLM localization and microscope characterization.
Article in Nature methods, 2024. 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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28 citing papers in PubMed.
- Optimal excitation polarization schemes to boost the precision of single-molecule orientation imaging.Biomedical optics express · 2026Article
- Fused deep learning enables 6D single-molecule localization in polarization-resolved microscopy.Methods and applications in fluorescence · 2026Article
- Deep Learning for Localization Microscopy in 2D and 3D.Accounts of chemical research · 2026Article
- From stars to molecules: AI guided device-agnostic super-resolution imaging.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
- 4polar3D single molecule imaging of 3D orientation in dense actin networks using ratiometric polarization splitting.Nature communications · 2026Article
- Phase-based computational adaptive optics enables artifact-free super-resolution microscopy.Communications engineering · 2026Article
- Separation estimation of two freely rotating dipole emitters near the quantum limit.Physical review. A · 2026Article
- Revisiting PSF models: Unifying framework and high-performance implementation.Journal of microscopy · 2026Article
- Molecular-scale isotropic 3D super-resolution microscopy via interference localization.Nature methods · 2026Article
- 4Pi-SIMFLUX: 4Pi single-molecule localization microscopy with structured illumination.Nature methods · 2026Article
- Evaluating MINFLUX experimental performance in silico.Nature communications · 2025Article
- One-click reconstruction in single-molecule localization microscopy via experimental parameter-aware deep learning.Npj imaging · 2025Article
- Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025Article
- Single molecule orientation and localization microscopy.Nature photonics · 2025Article
- DHPSFU: a Fiji plugin for fast and accurate double helix-PSF 3D single-molecule localisation microscopy.Scientific reports · 2025Article
- Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy.Nature communications · 2025Article
- Enhanced supercritical angle localization microscopy through point spread function modeling.Biomedical optics express · 2025Article
- Simultaneous particle tracking, phase retrieval and point spread function reconstruction.bioRxiv : the preprint server for biology · 2025Article
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Abstract
The point spread function (PSF) of a microscope describes the image of a point emitter. Knowing the accurate PSF model is essential for various imaging tasks, including single-molecule localization, aberration correction and deconvolution. Here we present universal inverse modeling of point spread functions (uiPSF), a toolbox to infer accurate PSF models from microscopy data, using either image stacks of fluorescent beads or directly images of blinking fluorophores, the raw data in single-molecule localization microscopy (SMLM). Our modular framework is applicable to a variety of microscope modalities and the PSF model incorporates system- or sample-specific characteristics, for example, the bead size, field- and depth- dependent aberrations, and transformations among channels. We demonstrate its application in single or multiple channels or large field-of-view SMLM systems, 4Pi-SMLM, and lattice light-sheet microscopes using either bead data or single-molecule blinking data.
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