Paper
1 June 2015 Hydrodynamic stretching for prostate cancer detection
Yuri Belotti, Michael Conneely, Scott Palmer, Tianjun Huang, Paul Campbell, Stephen McKenna, Ghulam Nabi, David McGloin
Author Affiliations +
Proceedings Volume 9518, Bio-MEMS and Medical Microdevices II; 95180H (2015) https://doi.org/10.1117/12.2179201
Event: SPIE Microtechnologies, 2015, Barcelona, Spain
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuri Belotti, Michael Conneely, Scott Palmer, Tianjun Huang, Paul Campbell, Stephen McKenna, Ghulam Nabi, and David McGloin "Hydrodynamic stretching for prostate cancer detection", Proc. SPIE 9518, Bio-MEMS and Medical Microdevices II, 95180H (1 June 2015); https://doi.org/10.1117/12.2179201
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KEYWORDS
Image analysis

Prostate cancer

Statistical analysis

Diagnostics

High speed imaging

Spherical lenses

Automatic tracking

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