Hydrodynamic stretching for prostate cancer detection

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

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

1 Citation (Scopus)


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
ISBN (Electronic)9781628416411
Publication statusPublished - 2015
EventBio-MEMS and Medical Microdevices II Conference - Barcelona, Spain
Duration: 5 May 20156 May 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceBio-MEMS and Medical Microdevices II Conference

Bibliographical note

Publisher Copyright:
© 2015 SPIE.


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


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