Development of a graded index microlens based fiber optical trap and its characterization using principal component analysis

被引：12

作者：

Nylk, J. ^{[1
,2
]}

Kristensen, M. V. G. ^{[1
]}

Mazilu, M. ^{[1
]}

Thayil, A. K. ^{[1
,2
]}

Mitchell, C. A. ^{[1
,2
]}

Campbell, E. C. ^{[2
]}

Powis, S. J. ^{[3
]}

Gunn-Moore, F. J. ^{[2
]}

Dholakia, K. ^{[1
]}

机构：

[1] Univ St Andrews, Sch Phys & Astron, SUPA, St Andrews KY16 9SS, Fife, Scotland

[2] Univ St Andrews, Sch Biol, St Andrews KY16 9TF, Fife, Scotland

[3] Univ St Andrews, Sch Med, St Andrews KY16 9TF, Fife, Scotland

来源：

BIOMEDICAL OPTICS EXPRESS | 2015年 / 6卷 / 04期

基金：

英国工程与自然科学研究理事会;

关键词：

TWEEZERS; MICROSCOPY; CELL; MANIPULATION; SYNAPSES;

D O I：

10.1364/BOE.6.001512

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We demonstrate a miniaturized single beam fiber optical trapping probe based on a high numerical aperture graded index (GRIN) micro-objective lens. This enables optical trapping at a distance of 200 mu m from the probe tip. The fiber trapping probe is characterized experimentally using power spectral density analysis and an original approach based on principal component analysis for accurate particle tracking. Its use for biomedical microscopy is demonstrated through optically mediated immunological synapse formation. (C) 2015 Optical Society of America

引用

页码：1512 / 1519

页数：8

共 50 条

[31] Forecasting of Air Quality Index in Delhi Using Neural Network Based on Principal Component Analysis
Anikender Kumar
P. Goyal
Pure and Applied Geophysics, 2013, 170 : 711 - 722
[32] Modified Multivariate Process Capability Index Using Principal Component Analysis
Zhang Min
Wang, G. Alan
He Shuguang
He Zhen
CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2014, 27 (02) : 249 - 259
[33] Coke Index Analysis based on Principal Component Analysis and Decision Tree Mining
Guo Hongwei
Su Buxin
Chang Jian
Zhang Jianliang
Cao Weichao
MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2, 2011, 48-49 : 318 - 322
[34] Modified Multivariate Process Capability Index Using Principal Component Analysis
ZHANG Min
WANG G Alan
HE Shuguang
HE Zhen
Chinese Journal of Mechanical Engineering, 2014, 27 (02) : 249 - 259
[35] Daily Trading of the FTSE Index Using LSTM with Principal Component Analysis
Edelman, David
Mannion, David
MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE, MAF 2022, 2022, : 228 - 234
[36] Modified multivariate process capability index using principal component analysis
Min Zhang
G. Alan Wang
Shuguang He
Zhen He
Chinese Journal of Mechanical Engineering, 2014, 27 : 249 - 259
[37] Fabrication and characterization of Bragg gratings in a graded-index perfluorinated polymer optical fiber
Koerdt, Michael
Kibben, Simon
Hesselbach, Johanne
Brauner, Christian
Herrmann, Axel Siegfried
Vollertsen, Frank
Kroll, Lothar
2ND INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE: CHALLENGES FOR PRODUCT AND PRODUCTION ENGINEERING, 2014, 15 : 138 - 146
[38] Genotypes characterization of vegetable soybeans by using principal component analysis
Tobar-Tosse, Dora Enith
Castoldi, Renata
Candido, Willame dos Santos
Ferraudo, Antonio Sergio
de Oliveira Charlo, Hamilton Cesar
Braz, Leila Trevisan
CIENCIA RURAL, 2015, 45 (07): : 1214 - 1219
[39] Analysis of graded-index polymer optical fiber link performance under fiber bending
Makino, K
Nakamura, T
Ishigure, T
Koike, Y
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2005, 23 (06) : 2062 - 2072
[40] Evaluation and Application of Poverty Index Water Based on Principal Component Analysis
Song, A-Ling
Wang, Yi-Xuan
Su, Hui-Lin
Liu, Hai-Feng
MATERIALS IN ENVIRONMENTAL ENGINEERING, 2017, : 1269 - 1286

← 1 2 3 4 5 →