Hydrodynamic stretching for prostate cancer detection

Yuri Belotti, Michael Conneely, Scott Palmer, Tianjun Huang, Paul Andrew Campbell, Stephen McKenna, Ghulam Nabi, David McGloin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Advances in diagnostic technologies enabled scientists to link a large number of diseases with structural changes of the intracellular organisation. This intrinsic biophysical characteristic opened up the possibility to perform clinical assessments based on the measurement of single-cell mechanical properties. In this work, we combine microfluidics, high speed imaging and computational automatic tracking to measure the single-cell deformability of large samples of prostate cancer cells at a rate of ∼ 104cells/s. Such a high throughput accounts for the inherent heterogeneity of biological samples and enabled us to extract statistically meaningful signatures from each cell population. In addition, using our technique we investigate the effect of Latrunculin A to the cellular stiffness.

Original languageEnglish
Title of host publicationBio-MEMS and Medical Microdevices II
EditorsSander van den Driesche
Place of PublicationBellingham
PublisherSPIE-International Society for Optical Engineering
Volume9518
ISBN (Print)9781628416411
DOIs
Publication statusPublished - 1 Jun 2015
EventSPIE Microtechnologies 2015: Bio-MEMS and Medical Microdevices II - Hotel Alimara, Barcelona, Spain
Duration: 4 May 20156 May 2015
http://spie.org/conferences-and-exhibitions/past-events/past-conferences-and-exhibitions/past-events/microtechnologies/microtechnologies-2015 (Link to conference)

Publication series

NameProceedings of SPIE
PublisherSPIE
Volume9518

Conference

ConferenceSPIE Microtechnologies 2015: Bio-MEMS and Medical Microdevices II
CountrySpain
CityBarcelona
Period4/05/156/05/15
Internet address

Keywords

  • Automated Tracking
  • Cell Mechanics
  • High Speed Imaging
  • High Throughput Diagnosis
  • Microfluidics
  • Prostate Cancer

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  • Student Theses

    Development of non-invasive techniques for bladder cancer diagnosis and therapy

    Author: Palmer, S. G., 2016

    Supervisor: Nabi, G. (Supervisor) & McGloin, D. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy

    File

    Sequential Recognition of Manipulation Actions Using Superpixel Group Mining

    Author: Huang, T., 2019

    Supervisor: McKenna, S. (Supervisor) & Zhang, J. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy

    File

    Cite this

    Belotti, Y., Conneely, M., Palmer, S., Huang, T., Campbell, P. A., McKenna, S., Nabi, G., & McGloin, D. (2015). Hydrodynamic stretching for prostate cancer detection. In S. van den Driesche (Ed.), Bio-MEMS and Medical Microdevices II (Vol. 9518). [95180H] (Proceedings of SPIE; Vol. 9518). SPIE-International Society for Optical Engineering. https://doi.org/10.1117/12.2179201