scholarly journals Sub‐Micron Particle Trapping: Massively Multiplexed Submicron Particle Patterning in Acoustically Driven Oscillating Nanocavities (Small 17/2020)

Small ◽  
2020 ◽  
Vol 16 (17) ◽  
pp. 2070095
Author(s):  
Mahnoush Tayebi ◽  
Richard O'Rorke ◽  
Him Cheng Wong ◽  
Hong Yee Low ◽  
Jongyoon Han ◽  
...  
2017 ◽  
Author(s):  
Xue Han ◽  
Viet Giang Truong ◽  
Síle Nic Chormaic

2013 ◽  
Author(s):  
M. Lungu ◽  
R. Giugiulan ◽  
M. Bunoiu ◽  
N. Strambeanu ◽  
A. Neculae

2021 ◽  
Vol 232 (7) ◽  
Author(s):  
Tamara V. Khodzher ◽  
Valery A. Zagaynov ◽  
Alex A. Lushnikov ◽  
Vladislav D. Chausov ◽  
Galina S. Zhamsueva ◽  
...  

Micromachines ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 570
Author(s):  
Alexander B. Stilgoe ◽  
Declan J. Armstrong ◽  
Halina Rubinsztein-Dunlop

The trap stiffness us the key property in using optical tweezers as a force transducer. Force reconstruction via maximum-likelihood-estimator analysis (FORMA) determines the optical trap stiffness based on estimation of the particle velocity from statistical trajectories. Using a modification of this technique, we determine the trap stiffness for a two micron particle within 2 ms to a precision of ∼10% using camera measurements at 10 kfps with the contribution of pixel noise to the signal being larger the level Brownian motion. This is done by observing a particle fall into an optical trap once at a high stiffness. This type of calibration is attractive, as it avoids the use of a nanopositioning stage, which makes it ideal for systems of large numbers of particles, e.g., micro-fluidics or active matter systems.


1977 ◽  
Vol 82 (32) ◽  
pp. 5187-5194 ◽  
Author(s):  
Juan G. Roederer ◽  
Mario H. Acuña ◽  
Norman F. Ness

2013 ◽  
Vol 57 ◽  
pp. 96-113 ◽  
Author(s):  
Mengbai Wu ◽  
Warren J. Jasper ◽  
Andrey V. Kuznetsov ◽  
Nathan Johnson ◽  
Srinivasan C. Rasipuram

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