Super-resolution enhancement by quantum image scanning microscopy

By R. Tenne, Uri Rossman, Batel Rephael, Y. Israel, Alexander Krupinski-Ptaszek, Radek Lapkiewicz, Yaron R. Silberberg, Dan Oron. Nature Photonics, 2018

248 citations recorded by the source corpus.

The principles of quantum optics have yielded a plethora of ideas to surpass the classical limitations of sensitivity and resolution in optical microscopy. While some ideas have been applied in proof-of-principle experiments, imaging a biological sample has remained challenging, mainly due to the inherently weak signal measured and the fragility of quantum states of light. In principle, however, these quantum protocols can add new information without sacrificing the classical information and can therefore enhance the capabilities of existing super-resolution techniques. Image scanning microscopy, a recent addition to the family of super-resolution methods, generates a robust resolution enhancement without reducing the signal level. Here, we introduce quantum image scanning microscopy: combining image scanning microscopy with the measurement of quantum photon correlation allows increasing the resolution of image scanning microscopy up to twofold, four times beyond the diffraction limit. We introduce the Q-ISM principle and obtain super-resolved optical images of a biological sample stained with fluorescent quantum dots using photon antibunching, a quantum effect, as a resolution-enhancing contrast mechanism.Characterizing not only the fluorescence intensity but also the inherent quantum correlations of the fluorescent photon stream can enhance the spatial resolution of image scanning microscopy up to twofold, a fourfold improvement over the diffraction limit.

Subfields: Biomedical Engineering, Biophysics, Structural Biology

View Paper: https://www.semanticscholar.org/paper/a91fa0322b23ce93664ec3a18aeaac5321cfea83

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In Biomedical Engineering

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In Biophysics

1. Sylvain Gigan
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In Structural Biology

1. Changhuei Yang
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3. Lei Tian
4. Roarke Horstmeyer

Citations in the corpus

• Roadmap on wavefront shaping and deep imaging in complex media (2021, background): “These include enhanced sensitivity and noise rejection, utilizing anti-bunching for super-resolution imaging [244] and imaging with undetected”
• Advances in quantum imaging (2024, unknown): “When much faster single-photon-imaging detectors with several tens of pixels became available (for example, a fibre bundle camera 120 or a SPAD array 59 ), antibunching was used to augment the spatial resolution in confocal imaging 121 and in image scanning confocal microscopy 4,122 .”
• Imaging with quantum states of light (2019, background): “This was demonstrated experimentally on biological samples stained with fluorescent quantum dots by combining the anti-bunching resolution advantage of quantum dots with the classical advantage of structured illumination [139].”