Literature DB >> 17896014

Hydrodynamically tunable optofluidic cylindrical microlens.

Xiaole Mao1, John Robert Waldeisen, Bala Krishna Juluri, Tony Jun Huang.   

Abstract

In this work, we report the design, fabrication, and characterization of a tunable optofluidic microlens that focuses light within a microfluidic device. The microlens is generated by the interface of two co-injected miscible fluids of different refractive indices, a 5 M CaCl(2) solution (n(D) = 1.445) and deionized (DI) water (n(D) = 1.335). When the liquids flow through a 90-degree curve in a microchannel, a centrifugal effect causes the fluidic interface to be distorted and the CaCl(2) solution bows outwards into the DI water portion. The bowed fluidic interface, coupled with the refractive index contrast between the two fluids, yields a reliable cylindrical microlens. The optical characteristics of the microlens are governed by the shape of the fluidic interface, which can be altered by simply changing the flow rate. Higher flow rates generate a microlens with larger curvature and hence shorter focal length. The changing of microlens profile is studied using both computational fluid dynamics (CFD) and confocal microscopy. The focusing effect is experimentally characterized through intensity measurements and image analysis of the focused light beam, and the experimental data are further confirmed by the results from a ray-tracing optical simulation. Our investigation reveals a simple, robust, and effective mechanism for integrating optofluidic tunable microlenses in lab-on-a-chip systems.

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Year:  2007        PMID: 17896014     DOI: 10.1039/b708863a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  21 in total

1.  Micro-optofluidic Lenses: A review.

Authors:  Nam-Trung Nguyen
Journal:  Biomicrofluidics       Date:  2010-07-19       Impact factor: 2.800

2.  An integrated, multiparametric flow cytometry chip using "microfluidic drifting" based three-dimensional hydrodynamic focusing.

Authors:  Xiaole Mao; Ahmad Ahsan Nawaz; Sz-Chin Steven Lin; Michael Ian Lapsley; Yanhui Zhao; J Philip McCoy; Wafik S El-Deiry; Tony Jun Huang
Journal:  Biomicrofluidics       Date:  2012-04-20       Impact factor: 2.800

3.  An acoustofluidic micromixer based on oscillating sidewall sharp-edges.

Authors:  Po-Hsun Huang; Yuliang Xie; Daniel Ahmed; Joseph Rufo; Nitesh Nama; Yuchao Chen; Chung Yu Chan; Tony Jun Huang
Journal:  Lab Chip       Date:  2013-10-07       Impact factor: 6.799

4.  Optofluidic tweezer on a chip.

Authors:  K Ono; S Kaneda; T Shiraishi; T Fujii
Journal:  Biomicrofluidics       Date:  2010-12-30       Impact factor: 2.800

5.  A single-layer, planar, optofluidic switch powered by acoustically driven, oscillating microbubbles.

Authors:  Po-Hsun Huang; Michael Ian Lapsley; Daniel Ahmed; Yuchao Chen; Lin Wang; Tony Jun Huang
Journal:  Appl Phys Lett       Date:  2012-10-01       Impact factor: 3.791

6.  Engineering fluid flow using sequenced microstructures.

Authors:  Hamed Amini; Elodie Sollier; Mahdokht Masaeli; Yu Xie; Baskar Ganapathysubramanian; Howard A Stone; Dino Di Carlo
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

7.  A droplet-based, optofluidic device for high-throughput, quantitative bioanalysis.

Authors:  Feng Guo; Michael Ian Lapsley; Ahmad Ahsan Nawaz; Yanhui Zhao; Sz-Chin Steven Lin; Yuchao Chen; Shikuan Yang; Xing-Zhong Zhao; Tony Jun Huang
Journal:  Anal Chem       Date:  2012-11-27       Impact factor: 6.986

8.  Optofluidic tunable microlens by manipulating the liquid meniscus using a flared microfluidic structure.

Authors:  Xiaole Mao; Zackary I Stratton; Ahmad Ahsan Nawaz; Sz-Chin Steven Lin; Tony Jun Huang
Journal:  Biomicrofluidics       Date:  2010-12-30       Impact factor: 2.800

9.  Sub-micrometer-precision, three-dimensional (3D) hydrodynamic focusing via "microfluidic drifting".

Authors:  Ahmad Ahsan Nawaz; Xiangjun Zhang; Xiaole Mao; Joseph Rufo; Sz-Chin Steven Lin; Feng Guo; Yanhui Zhao; Michael Lapsley; Peng Li; J Philip McCoy; Stewart J Levine; Tony Jun Huang
Journal:  Lab Chip       Date:  2013-11-28       Impact factor: 6.799

10.  Surface-Enhanced Raman Scattering Study on Graphene-Coated Metallic Nanostructure Substrates.

Authors:  Qingzhen Hao; Bei Wang; Jeremy A Bossard; Brian Kiraly; Yong Zeng; I-Kao Chiang; Lasse Jensen; Douglas H Werner; Tony Jun Huang
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2012-04-05       Impact factor: 4.126

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