ArticleNature communications2017
Quantum correlation enhanced super-resolution localization microscopy enabled by a fibre bundle camera.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- High-speed optical imaging with sCMOS pixel reassignment.Nature communications · 2024Article
- Quantum imaging of biological organisms through spatial and polarization entanglement.Science advances · 2024Article
- Quantum measurement enables single biomarker sensitivity in flow cytometry.Scientific reports · 2024Article
- Estimation of the number of single-photon emitters for multiple fluorophores with the same spectral signature.AVS quantum science · 2023Article
- Machine learning assisted quantum super-resolution microscopy.Nature communications · 2023Article
- A robust and versatile platform for image scanning microscopy enabling super-resolution FLIM.Nature methods · 2019Article
- Quantum-Optically Enhanced STORM (QUEST) for Multi-Emitter Localization.Scientific reports · 2018Article
- Complete polarization control in multimode fibers with polarization and mode coupling.Light, science & applications · 2018Article
- Quantum correlation enhanced super-resolution localization microscopy enabled by a fibre bundle camera.Nature communications · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in low-light-level detection, single-photon methods such as photon correlation have rarely been used in the context of imaging. The few demonstrations, for example of subdiffraction-limited imaging utilizing quantum statistics of photons, have remained in the realm of proof-of-principle demonstrations. This is primarily due to a combination of low values of fill factors, quantum efficiencies, frame rates and signal-to-noise characteristic of most available single-photon sensitive imaging detectors. Here we describe an imaging device based on a fibre bundle coupled to single-photon avalanche detectors that combines a large fill factor, a high quantum efficiency, a low noise and scalable architecture. Our device enables localization-based super-resolution microscopy in a non-sparse non-stationary scene, utilizing information on the number of active emitters, as gathered from non-classical photon statistics.
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Registered trials
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