Biological particle manipulation: an example of Jurkat enrichment

2015 ◽  
Vol 10 (10) ◽  
pp. 550-553 ◽  
Author(s):  
Emre Altinagac ◽  
Huseyin Kizil ◽  
Levent Trabzon
Keyword(s):  
Particle Manipulation ◽  
Biological Particle

Biological particle manipulation: An example of Jurkat enrichment

2015 ◽  
Author(s):  
Emre Altinagac ◽  
Safiye Selen Ozcan ◽  
Yavuz Genc ◽  
Huseyin Kizil ◽  
Levent Trabzon
Keyword(s):  
Particle Manipulation ◽  
Biological Particle

scholarly journals Antiresonant driven systems for particle manipulation

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
M. Florencia Carusela ◽  
Paolo Malgaretti ◽  
J. Miguel Rubi
Keyword(s):  
Particle Manipulation ◽  
Driven Systems

scholarly journals Optical vortex lattice: an exploitation of orbital angular momentum

Nanophotonics ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Liuhao Zhu ◽  
Miaomiao Tang ◽  
Hehe Li ◽  
Yuping Tai ◽  
Xinzhong Li
Keyword(s):  
Angular Momentum ◽  
Optical Tweezers ◽  
Orbital Angular Momentum ◽  
Vortex Lattice ◽  
Optical Vortex ◽  
Yeast Cells ◽  
Particle Manipulation ◽  
Complex Motion ◽  
Potential Applications ◽  
Vortex Beams

Abstract Generally, an optical vortex lattice (OVL) is generated via the superposition of two specific vortex beams. Thus far, OVL has been successfully employed to trap atoms via the dark cores. The topological charge (TC) on each optical vortex (OV) in the lattice is only ±1. Consequently, the orbital angular momentum (OAM) on the lattice is ignored. To expand the potential applications, it is necessary to rediscover and exploit OAM. Here we propose a novel high-order OVL (HO-OVL) that combines the phase multiplication and the arbitrary mode-controllable techniques. TC on each OV in the lattice is up to 51, which generates sufficient OAM to manipulate microparticles. Thereafter, the entire lattice can be modulated to desirable arbitrary modes. Finally, yeast cells are trapped and rotated by the proposed HO-OVL. To the best of our knowledge, this is the first realization of the complex motion of microparticles via OVL. Thus, this work successfully exploits OAM on OVL, thereby revealing potential applications in particle manipulation and optical tweezers.

Biological Particle Recognition Based on BP Neural Network Algorithm

2021 ◽  
pp. 227-232
Author(s):  
Jianqiang Fan ◽  
Shaoquan Jiang ◽  
Chao Zhang ◽  
Zhikun Yang ◽  
Tao Jiang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Network Algorithm ◽  
Particle Recognition ◽  
Neural Network Algorithm ◽  
Biological Particle
Sign in / Sign up

Export Citation Format

Share Document