Hardware acceleration of an image processing system for dielectrophoretic loading of single neurons inside micro-wells of microelectrode arrays
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.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 MarchPublisher
IEEEJournal
Proceedings of the 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim)DOI
10.1109/UKSim.2015.28Additional 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 ProceedingsLanguage
enISBN
9781479987139ae974a485f413a2113503eed53cd6c53
10.1109/UKSim.2015.28