Fast, background-free, 3D super-resolution optical fluctuation imaging (SOFI)

By T. Dertinger, R. Colyer, Gopalakrishnan Iyer, Shimon Weiss, J. Enderlein. Proceedings of the National Academy of Sciences of the United States of America, 2009

1,112 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Biophysics, Structural Biology

View Paper: https://www.semanticscholar.org/paper/641d0570ae31793c656868f77ee6e7460851b50e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Olivier Couture
2. Mickaël Tanter
3. Christian Poelma

Citations in the corpus

• Ultrasound Localization Microscopy and Super-Resolution: A State of the Art (2018, positive): “In optics, SOFI uses smaller image stacks than other superresolution techniques such as FPALM and STED since it does not require the localization of individual emitters [77].”
• Advances in quantum imaging (2024, neutral): “Antibunching is a quantum analogue of stochastic classical intensity fluctuations used in superresolved imaging methods like superresolution optical fluctuation imaging 118 .”
• Mapping molecular statistics with balanced super-resolution optical fluctuation imaging (bSOFI) (2012, methodology): “…2006; Hess et al. 2006) and stochastic optical reconstruction microscopy (STORM) (Heilemann et al. 2008; Rust et al. 2006), or by analysing the statistics of the temporal fluctuations as exploited in super-resolution optical fluctuation imaging (SOFI) (Dertinger et al. 2009; Dertinger et al. 2010).”