Hardware acceleration of an image processing system for dielectrophoretic loading of single neurons inside micro-wells of microelectrode arrays

Hdl Handle:
http://hdl.handle.net/10545/620813
Title:
Hardware acceleration of an image processing system for dielectrophoretic loading of single neurons inside micro-wells of microelectrode arrays
Authors:
Zhai, Xiaojun ( 0000-0002-1030-8311 ) ; Jaber, Fadi; Bensaali, Faycal ( 0000-0002-9273-4735 ) ; Mishra, Arti
Abstract:
This paper describes an image processing algorithm and its efficient architecture. The proposed architecture is used to process images of microelectrode arrays (MEAs) and micro-wells captured by a microscope camera in a dielectrophoresis (DEP)-based system which consists as well of digital switches for turning the DEP force 'on' or 'off'. The images are processed in order to determine if a neuron has entered any of the micro-wells in which case the corresponding switch turns 'off' the DEP force. This process must be in real-time to avoid more than one cell to be loaded in a micro-well. The proposed architecture has been successfully implemented and tested on a Zynq SoC. Results achieved have shown that the system can process one image in 9 ms which meets the minimum real-time requirements of this DEP system.
Affiliation:
University of Derby
Citation:
Zhai, X. et al. (2015) 'Hardware acceleration of an image processing system for dielectrophoretic loading of single neurons inside micro-wells of microelectrode arrays', Proceedings of the 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim), Cambridge, UK, 25-27 March
Publisher:
IEEE
Journal:
Proceedings of the 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim)
Issue Date:
25-Mar-2015
URI:
http://hdl.handle.net/10545/620813
DOI:
10.1109/UKSim.2015.28
Additional Links:
http://ieeexplore.ieee.org/document/7576603/; http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7575913; http://uksim.info/uksim2015/start.pdf
Type:
Meetings and Proceedings
Language:
en
ISBN:
9781479987139
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorZhai, Xiaojunen
dc.contributor.authorJaber, Fadien
dc.contributor.authorBensaali, Faycalen
dc.contributor.authorMishra, Artien
dc.date.accessioned2016-11-11T16:14:24Z-
dc.date.available2016-11-11T16:14:24Z-
dc.date.issued2015-03-25-
dc.identifier.citationZhai, X. et al. (2015) 'Hardware acceleration of an image processing system for dielectrophoretic loading of single neurons inside micro-wells of microelectrode arrays', Proceedings of the 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim), Cambridge, UK, 25-27 Marchen
dc.identifier.isbn9781479987139-
dc.identifier.doi10.1109/UKSim.2015.28-
dc.identifier.urihttp://hdl.handle.net/10545/620813-
dc.description.abstractThis paper describes an image processing algorithm and its efficient architecture. The proposed architecture is used to process images of microelectrode arrays (MEAs) and micro-wells captured by a microscope camera in a dielectrophoresis (DEP)-based system which consists as well of digital switches for turning the DEP force 'on' or 'off'. The images are processed in order to determine if a neuron has entered any of the micro-wells in which case the corresponding switch turns 'off' the DEP force. This process must be in real-time to avoid more than one cell to be loaded in a micro-well. The proposed architecture has been successfully implemented and tested on a Zynq SoC. Results achieved have shown that the system can process one image in 9 ms which meets the minimum real-time requirements of this DEP system.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7576603/en
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7575913en
dc.relation.urlhttp://uksim.info/uksim2015/start.pdfen
dc.subjectMicroelectrode arrayen
dc.subjectComputer architectureen
dc.subjectImage processingen
dc.subjectMicroprocessorsen
dc.titleHardware acceleration of an image processing system for dielectrophoretic loading of single neurons inside micro-wells of microelectrode arraysen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalProceedings of the 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim)en
All Items in UDORA are protected by copyright, with all rights reserved, unless otherwise indicated.