Precise nanometer localization analysis for individual fluorescent probes.

By Russell E. Thompson, D. Larson, W. Webb. Biophysical Journal, 2002

2,282 citations recorded by the source corpus.

Subfields: Biophysics, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/a8421794f0f35769b284b33c2c9d808c7bcdfbcf

How researchers see this paper

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

In Biophysics

1. X. Zhuang
2. Bo Huang
3. M. Bates
4. Stefan W. Hell
5. Alex Small
6. Shane Stahlheber
7. Erik H. W. Meijering
8. A. Ting

In Computer Vision and Pattern Recognition

1. X. Zhuang
2. M. Bates
3. Erik H. W. Meijering
4. Alex Small
5. Shane Stahlheber
6. Nicolas Chenouard
7. Bo Huang
8. Martin Maška

In Media Technology

1. X. Zhuang
2. M. Bates
3. Alex Small
4. Shane Stahlheber
5. Nicolas Chenouard
6. Bo Huang
7. Eric Betzig
8. R. Singer

Citations in the corpus

• Photophysics of Fluorescence Probes for Single Molecule Biophysics and Super-Resolution Imaging (2012, neutral): “of the number of photons detected (16).”
• Super resolution fluorescence microscopy (2009, methodology): “40 yields a PSF with a lateral size of ~200 nm and an axial size of ~500 nm in a refractive index-matched medium (Figure 1) (8).”
• Fluorescent probes for super-resolution imaging in living cells (2008, background): “Other super-resolution imaging techniques detect single molecules and rely on the principle that a single emitter can be localized with high accuracy if sufficient numbers of photons are collecte”
• Fast three-dimensional super-resolution imaging of live cells (2011, background): “The latter approach also requires high-precision localization of single molecule”
• Evaluation of fluorophores for optimal performance in localization-based super-resolution imaging (2011, positive): “Switching events with a high photon yield are desired for accurate determination of a probe’s position due to the inverse-square-root dependence of the localization precision on the number of detected photons 36,37 .”
• SINGLE-PARTICLE TRACKING (2009, background): “The detection efficiency is low: a typical value is 1% [70], and for an optimized system 3–8% [59,71,72].”
• Objective comparison of particle tracking methods (2014, methodology): “METHOD 4: PARAMETERS The user parameters of this method (and typical values) are:  Number of iterations of convolution with the Gaussian kernel (10-500).”