ArticleScientific reports2021
Enhanced super-resolution microscopy by extreme value based emitter recovery.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 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
11 citing papers in PubMed.
- Automated Cyclic Super-Resolution Microscopy for Nanoscale Protein Mapping.bioRxiv : the preprint server for biology · 2026Article
- Optical super-resolution histology of formalin-fixed paraffin-embedded tissue samples: challenges and opportunities.Nature communications · 2025Review
- A Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- An Omni-Mesoscope for multiscale high-throughput quantitative phase imaging of cellular dynamics and high-content molecular characterization.Science advances · 2024Article
- Toward drift-free high-throughput nanoscopy through adaptive intersection maximization.Science advances · 2024Article
- RASP: Optimal Single Puncta Detection in Complex Cellular Backgrounds.The journal of physical chemistry. B · 2024Article
- Nanoscale imaging of CD47 informs how plasma membrane modifications shape apoptotic cell recognition.Communications biology · 2023Article
- Raw Data to Results: A Hands-On Introduction and Overview of Computational Analysis for Single-Molecule Localization Microscopy.Frontiers in bioinformatics · 2021Article
- Super-resolution Surface-Enhanced Raman Scattering Imaging of Single Particles in Cells.Analytical chemistry · 2020Article
- WindSTORM: Robust online image processing for high-throughput nanoscopy.Science advances · 2019Article
- High-resolution microscopy for imaging cancer pathobiology.Current pathobiology reports · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Super-resolution localization microscopy allows visualization of biological structure at nanoscale resolution. However, the presence of heterogeneous background can degrade the nanoscale resolution by tens of nanometers and introduce significant image artifacts. Here we investigate and validate an efficient approach, referred to as extreme value-based emitter recovery (EVER), to accurately recover the distorted fluorescent emitters from heterogeneous background. Through numerical simulation and biological experiments, we validated the accuracy of EVER in improving the fidelity of the reconstructed super-resolution image for a wide variety of imaging characteristics. EVER requires no manual adjustment of parameters and has been implemented as an easy-to-use ImageJ plugin that can immediately enhance the quality of reconstructed super-resolution images. This method is validated as an efficient way for robust nanoscale imaging of samples with heterogeneous background fluorescence, such as thicker tissue and cells.
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.