@inproceedings{22ee71daecb54a59b293607a5f579654,
title = "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.",
keywords = "Dielectrophoresis, FPGA, Zynq SoC, microelectrode arrays",
author = "Xiaojun Zhai and Fadi Jaber and Faycal Bensaali and Arti Mishra",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th UKSim-AMSS International Conference on Computer Modelling and Simulation, UKSim 2015 ; Conference date: 25-03-2015 Through 27-03-2015",
year = "2016",
month = sep,
day = "23",
doi = "10.1109/UKSim.2015.28",
language = "English",
series = "Proceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "571--576",
editor = "Richard Cant and Alessandra Orsoni and Ismail Saad and David Al-Dabass and Zuwairie Ibrahim",
booktitle = "Proceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015",
address = "United States",
}