Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)

By Michael J Rust, M. Bates, X. Zhuang. Nature Methods, 2006

7,685 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/79be0bab14ca60479e7be0781afb44d8db56258a

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. Stefan W. Hell
2. X. Zhuang
3. Bo Huang
4. M. Bates
5. M. Gerl
6. K. Simons
7. Hanchuan Peng
8. Alex Small

In Biophysics

1. X. Zhuang
2. Stefan W. Hell
3. Bo Huang
4. M. Bates
5. Alex Small
6. Shane Stahlheber
7. K. Simons
8. M. Gerl

Citations in the corpus

• Ultrasound Localization Microscopy and Super-Resolution: A State of the Art (2018, positive): “In PALM (photoactivated localization microscopy [63],à), FPALM (fluorescence photoactivation localization microscopy[72]) or STORM (stochastic optical reconstruction microscopy [73]), fluorescent labels switch between bright and dark states, making it such that only a subset of them are observable i”
• Super Resolution Laser Radar with Blinking Atmospheric Particles - Application to Interacting Flying Insects (2014, neutral): “While the STED approach is based on a complicated laser scheme, other approaches, photoactivation localization microscopy (PALM) [28] and stochastic optical reconstruction microscopy (STORM) [29, 30], are based on sensitive cameras, single molecule detection and blinking molecules.”
• Quantum metrology and its application in biology (2014, methodology): “A number of particularly powerful techniques were developed for photoswitchable fluorescent probes, including stimulated emission depletion (STED) microscopy [92, 93], photoactivated localization microscopy (PALM) [94], and stochastic optical reconstruction microscopy (STORM) [95].”
• A guide to super-resolution fluorescence microscopy (2010, background): “The chance of detecting particles with overlapping signals in one image could be reduced to almost zero by limiting the number of simultaneously emitting particles (Betzig et al., 2006; Hess et al., 2006; Rust et al., 2006).”
• Fluorophore localization algorithms for super-resolution microscopy (2014, methodology): “The choice of a localization algorithm for super-resolution microscopy depends on what the user knows about the imaging system (PSF and noise), how the user controls fluorophore In the version of this article initially published, 3D DAOSTORM was erroneously characterized in Table 2 as using least-sq”
• Interferometric fluorescent super-resolution microscopy resolves 3D cellular ultrastructure (2009, background): “The multiphase interferometric microscopy (the i in iPALM) recovers the z–axis position, and simultaneously PALM (6, 22, 23) recovers the x–y coordinates on high densities of FP-fusion molecules that occur in cellular structures.”
• Wide-field high-resolution 3D microscopy with Fourier ptychographic diffraction tomography (2019, neutral): “5 and 7 Ū is1n(xT ) = ln (√ I ic (xT ) exp(U is1n(xT )) |exp(U is1n(xT ))| ) Brightfield ln (√ I ic (xT ) exp(U is1n(xT ))− 1 |exp(U is1n(xT ))− 1| + 1 ) Darkfield (9) Unless otherwise noted, Rytov approximation is employed for FPDT reconstruction due to its higher RI reconstruction accuracy (see ”