High-throughput, imaging based mechanical phenotyping of prostate cancer cells

Yuri Belotti, Tianjun Huang, Stephen McKenna, Ghulam Nabi, David McGloin

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

Original languageEnglish
Title of host publicationEuropean Quantum Electronics Conference, EQEC 2017
PublisherOptical Society of America
VolumePart F81-EQEC 2017
ISBN (Electronic)9781557528209
Publication statusPublished - 2017
EventEuropean Quantum Electronics Conference, EQEC 2017 - Munich, Germany
Duration: 25 Jun 201729 Jun 2017

Conference

ConferenceEuropean Quantum Electronics Conference, EQEC 2017
CountryGermany
CityMunich
Period25/06/1729/06/17

Student Theses

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

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Cite this

Belotti, Y., Huang, T., McKenna, S., Nabi, G., & McGloin, D. (2017). High-throughput, imaging based mechanical phenotyping of prostate cancer cells. In European Quantum Electronics Conference, EQEC 2017 (Vol. Part F81-EQEC 2017). [JSIII_2_2] Optical Society of America. https://www.osapublishing.org/abstract.cfm?uri=CLEO_Europe-2017-JSIII_2_2