ArticleScientific reports2017
Analyzing Single Molecule Localization Microscopy Data Using Cubic Splines.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed.
- Fused deep learning enables 6D single-molecule localization in polarization-resolved microscopy.Methods and applications in fluorescence · 2026Article
- Aberration-aware 3D localization microscopy via self-supervised neural-physics learning.Nature communications · 2026Article
- A General Analytic Approach for Rapid Diagnostics by a Simple Algorithm for Fluorescence Single Molecule Counting.Biosensors · 2026Article
- Cellular optical imaging techniques: a dynamic advancing frontier.Science China. Life sciences · 2025Review
- Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025Article
- 3D localization of retrovirus assembly in the presence of structured background with deep learning.Biophysical journal · 2025Article
- Model-free machine learning-based 3D single molecule localisation microscopy.Journal of microscopy · 2025Article
- Enabling real-time reconstruction for large field-of-view single-molecule localization microscopy using discrete field-dependent point-spread function.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
- Three-dimensional localization and tracking of chromosomal loci throughout the Escherichia coli cell cycle.Communications biology · 2024Article
- Measurement precision bounds on aberrated single-molecule emission patterns.Optics express · 2024Article
- Long axial-range double-helix point spread functions for 3D volumetric super-resolution imaging.bioRxiv : the preprint server for biology · 2024Article
- Universal inverse modeling of point spread functions for SMLM localization and microscope characterization.Nature methods · 2024Article
- Large-FOV 3D localization microscopy by spatially variant point spread function generation.Science advances · 2024Article
- Bayesian posterior density estimation reveals degeneracy in three-dimensional multiple emitter localization.Scientific reports · 2023Article
- Universal inverse modelling of point spread functions for SMLM localization and microscope characterization.bioRxiv : the preprint server for biology · 2023Article
- Enhancing obSTORM imaging performance with cubic spline PSF modeling.Biomedical optics express · 2023Article
- Review
- Semi-automated 3D fluorescence speckle analyzer (3D-Speckler) for microscope calibration and nanoscale measurement.The Journal of cell biology · 2023Article
- Global fitting for high-accuracy multi-channel single-molecule localization.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The resolution of super-resolution microscopy based on single molecule localization is in part determined by the accuracy of the localization algorithm. In most published approaches to date this localization is done by fitting an analytical function that approximates the point spread function (PSF) of the microscope. However, particularly for localization in 3D, analytical functions such as a Gaussian, which are computationally inexpensive, may not accurately capture the PSF shape leading to reduced fitting accuracy. On the other hand, analytical functions that can accurately capture the PSF shape, such as those based on pupil functions, can be computationally expensive. Here we investigate the use of cubic splines as an alternative fitting approach. We demonstrate that cubic splines can capture the shape of any PSF with high accuracy and that they can be used for fitting the PSF with only a 2-3x increase in computation time as compared to Gaussian fitting. We provide an open-source software package that measures the PSF of any microscope and uses the measured PSF to perform 3D single molecule localization microscopy analysis with reasonable accuracy and speed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.