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Microfluidic system for high throughput characterisation of echogenic particles

Microfluidic system for high throughput characterisation of echogenic particles
Microfluidic system for high throughput characterisation of echogenic particles
Echogenic particles, such as microbubbles and volatile liquid micro/nano droplets, have shown considerable potential in a variety of clinical diagnostic and therapeutic applications. The accurate prediction of their response to ultrasound excitation is however extremely challenging, and this has hindered the optimisation of techniques such as quantitative ultrasound imaging and targeted drug delivery. Existing characterisation techniques, such as ultra-high speed microscopy provide important insights, but suffer from a number of limitations; most significantly difficulty in obtaining large data sets suitable for statistical analysis and the need to physically constrain the particles, thereby altering their dynamics. Here a microfluidic system is presented that overcomes these challenges to enable the measurement of single echogenic particle response to ultrasound excitation. A co-axial flow focusing device is used to direct a continuous stream of unconstrained particles through the combined focal region of an ultrasound transducer and a laser. Both the optical and acoustic scatter from individual particles are then simultaneously recorded. Calibration of the device and example results for different types of echogenic particle are presented, demonstrating a high throughput of up to 20 particles per second and the ability to resolve changes in particle radius down to 0.1 ?m with an uncertainty of less than 3%.
1473-0197
417-428
Rademeyer, Paul
b579695d-ffc0-47e0-a5c9-dbf3895d546d
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179
Lee, Jeong Yu
25c5c704-f4ad-48ea-a984-088034dc3a93
Stride, Eleanor
c0143e95-81fa-47c8-b9bc-5b4fc319bba6
Rademeyer, Paul
b579695d-ffc0-47e0-a5c9-dbf3895d546d
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179
Lee, Jeong Yu
25c5c704-f4ad-48ea-a984-088034dc3a93
Stride, Eleanor
c0143e95-81fa-47c8-b9bc-5b4fc319bba6

Rademeyer, Paul, Carugo, Dario, Lee, Jeong Yu and Stride, Eleanor (2015) Microfluidic system for high throughput characterisation of echogenic particles. Lab on a Chip, 15 (2), 417-428. (doi:10.1039/c4lc01206b). (PMID:25367757)

Record type: Article

Abstract

Echogenic particles, such as microbubbles and volatile liquid micro/nano droplets, have shown considerable potential in a variety of clinical diagnostic and therapeutic applications. The accurate prediction of their response to ultrasound excitation is however extremely challenging, and this has hindered the optimisation of techniques such as quantitative ultrasound imaging and targeted drug delivery. Existing characterisation techniques, such as ultra-high speed microscopy provide important insights, but suffer from a number of limitations; most significantly difficulty in obtaining large data sets suitable for statistical analysis and the need to physically constrain the particles, thereby altering their dynamics. Here a microfluidic system is presented that overcomes these challenges to enable the measurement of single echogenic particle response to ultrasound excitation. A co-axial flow focusing device is used to direct a continuous stream of unconstrained particles through the combined focal region of an ultrasound transducer and a laser. Both the optical and acoustic scatter from individual particles are then simultaneously recorded. Calibration of the device and example results for different types of echogenic particle are presented, demonstrating a high throughput of up to 20 particles per second and the ability to resolve changes in particle radius down to 0.1 ?m with an uncertainty of less than 3%.

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More information

Accepted/In Press date: 28 October 2014
Published date: 21 January 2015
Organisations: Bioengineering Group, Mechatronics, Engineering Science Unit, Faculty of Engineering and the Environment

Identifiers

Local EPrints ID: 389482
URI: http://eprints.soton.ac.uk/id/eprint/389482
ISSN: 1473-0197
PURE UUID: dcd723fa-6036-44ac-9734-e6024fa74838

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Date deposited: 08 Mar 2016 10:34
Last modified: 18 Nov 2019 20:05

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