High-density single-particle tracking: quantifying molecule organization and dynamics at the nanoscale

2014 ◽  
Vol 141 (6) ◽  
pp. 587-595 ◽  
Author(s):  
Jean-Baptiste Sibarita
Keyword(s):  
Particle Tracking ◽  
Single Particle ◽  
Single Particle Tracking ◽  
High Density

scholarly journals High-Density Single Particle Tracking on the Plasma Membrane using High-Speed Hyperspectral Imaging

2012 ◽  
Vol 102 (3) ◽  
pp. 581a
Author(s):  
Patrick J. Cutler ◽  
Michael D. Malik ◽  
Sheng Liu ◽  
Jason M. Byars ◽  
Diane S. Lidke ◽  
...  
Keyword(s):  
Plasma Membrane ◽  
Hyperspectral Imaging ◽  
Particle Tracking ◽  
Single Particle ◽  
High Speed ◽  
Single Particle Tracking ◽  
High Density

scholarly journals Dynamics of Glycine Receptors and their Interactions with Gephyrin Scaffolds Revealed with High-Density Single Particle Tracking and Bayesian Inference

2015 ◽  
Vol 108 (2) ◽  
pp. 207a
Author(s):  
Mohamed El Beheiry ◽  
Jean-Baptiste Masson ◽  
Charlotte Salvatico ◽  
Christian Specht ◽  
Antoine Triller ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Particle Tracking ◽  
Single Particle ◽  
Single Particle Tracking ◽  
High Density ◽  
Glycine Receptors

scholarly journals High Density Single Particle Tracking with Various Probes

2014 ◽  
Vol 106 (2) ◽  
pp. 809a
Author(s):  
Peter K. Relich ◽  
Keith A. Lidke
Keyword(s):  
Particle Tracking ◽  
Single Particle ◽  
Single Particle Tracking ◽  
High Density

scholarly journals Information-Efficient, Off-Center Sampling Results in Improved Precision in 3D Single-Particle Tracking Microscopy

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 498
Author(s):  
Chen Zhang ◽  
Kevin Welsher
Keyword(s):  
Fisher Information ◽  
Particle Tracking ◽  
Single Particle ◽  
Biological Samples ◽  
Tracking System ◽  
Single Particle Tracking ◽  
Uniform Sampling ◽  
Single Dimension ◽  
3D Localization ◽  
Particle Localization

In this work, we present a 3D single-particle tracking system that can apply tailored sampling patterns to selectively extract photons that yield the most information for particle localization. We demonstrate that off-center sampling at locations predicted by Fisher information utilizes photons most efficiently. When performing localization in a single dimension, optimized off-center sampling patterns gave doubled precision compared to uniform sampling. A ~20% increase in precision compared to uniform sampling can be achieved when a similar off-center pattern is used in 3D localization. Here, we systematically investigated the photon efficiency of different emission patterns in a diffraction-limited system and achieved higher precision than uniform sampling. The ability to maximize information from the limited number of photons demonstrated here is critical for particle tracking applications in biological samples, where photons may be limited.

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