scholarly journals Single-Particle Tracking Palm of Nav1.6 in Hippocampal Neurons Demonstrates Unique Subcellular Diffusion Landscapes

2014 ◽  
Vol 106 (2) ◽  
pp. 36a ◽  
Author(s):  
Elizabeth J. Akin ◽  
Kristen Brown ◽  
Sanaz Sadegh ◽  
Aubrey V. Weigel ◽  
Jean-Baptiste Masson ◽  
...  
PLoS ONE ◽  
2010 ◽  
Vol 5 (7) ◽  
pp. e11507 ◽  
Author(s):  
Thomas Bürli ◽  
Kristin Baer ◽  
Helge Ewers ◽  
Corinne Sidler ◽  
Christian Fuhrer ◽  
...  

2017 ◽  
Vol 96 (6) ◽  
Author(s):  
Grzegorz Sikora ◽  
Agnieszka Wyłomańska ◽  
Janusz Gajda ◽  
Laura Solé ◽  
Elizabeth J. Akin ◽  
...  

2016 ◽  
Author(s):  
G. de Wit ◽  
D. Albrecht ◽  
H. Ewers ◽  
P. Kukura

AbstractSingle-particle tracking is a powerful tool for studying single molecule behaviour involving plasma membrane-associated events in cells. Here, we show that interferometric scattering microscopy (iSCAT) combined with gold nanoparticle labeling can be used to follow the motion of membrane proteins in the plasma membrane of live cultured mammalian cell lines and hippocampal neurons. The unique combination of microsecond temporal resolution and nanometer spatial precision reveals signatures of a compartmentalised plasma membrane in neurons.


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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