scholarly journals Single-particle Tracking as a Quantitative Microscopy-based Approach to Unravel Cell Entry Mechanisms of Viruses and Pharmaceutical Nanoparticles

2011 ◽  
Vol 19 (7) ◽  
pp. 1199-1211 ◽  
Author(s):  
Nadia Ruthardt ◽  
Don C Lamb ◽  
Christoph Bräuchle
2008 ◽  
Vol 4 (12) ◽  
pp. e1000244 ◽  
Author(s):  
Hilde M. van der Schaar ◽  
Michael J. Rust ◽  
Chen Chen ◽  
Heidi van der Ende-Metselaar ◽  
Jan Wilschut ◽  
...  

2014 ◽  
Vol 53 (30) ◽  
pp. 7745-7750 ◽  
Author(s):  
Le Liang ◽  
Jiang Li ◽  
Qian Li ◽  
Qing Huang ◽  
Jiye Shi ◽  
...  

2014 ◽  
Vol 126 (30) ◽  
pp. 7879-7884 ◽  
Author(s):  
Le Liang ◽  
Jiang Li ◽  
Qian Li ◽  
Qing Huang ◽  
Jiye Shi ◽  
...  

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 498
Author(s):  
Chen Zhang ◽  
Kevin Welsher

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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