ArticleNature communications2019
Resolution limit of image analysis algorithms.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Sub-diffraction error mapping for localisation microscopy images.Nature communications · 2021Article
- Effect of Pixelation on the Parameter Estimation of Single Molecule Trajectories.IEEE transactions on computational imaging · 2021Article
- Fourier Ring Correlation and Anisotropic Kernel Density Estimation Improve Deep Learning Based SMLM Reconstruction of Microtubules.Frontiers in bioinformatics · 2021Article
- Quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy.Nature communications · 2020Article
- Rethinking resolution estimation in fluorescence microscopy: from theoretical resolution criteria to super-resolution microscopy.Science China. Life sciences · 2020Review
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4 authors.
Funding
Abstract
The resolution of an imaging system is a key property that, despite many advances in optical imaging methods, remains difficult to define and apply. Rayleigh's and Abbe's resolution criteria were developed for observations with the human eye. However, modern imaging data is typically acquired on highly sensitive cameras and often requires complex image processing algorithms to analyze. Currently, no approaches are available for evaluating the resolving capability of such image processing algorithms that are now central to the analysis of imaging data, particularly location-based imaging data. Using methods of spatial statistics, we develop a novel algorithmic resolution limit to evaluate the resolving capabilities of location-based image processing algorithms. We show how insufficient algorithmic resolution can impact the outcome of location-based image analysis and present an approach to account for algorithmic resolution in the analysis of spatial location patterns.
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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.