Team:ETHZ Basel/InformationProcessing
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E. Lemming cells are imaged using [[Team:ETHZ_Basel/InformationProcessing/Microscope|'''microscopy techniques''']]. The resulting images are processed by fast [[Team:ETHZ_Basel/InformationProcessing/CellDetection|'''cell detection and cell tracking algorithms''']], which determine the current movement direction of the chosen bacterium. The desired reference direction is [[Team:ETHZ_Basel/InformationProcessing/Visualization|'''visualized''']] and set by the input of the user, which is translated by the [[Team:ETHZ_Basel/InformationProcessing/Controller|'''the controller algorithm''']] into series of light pulses (red light and far-red light) . Therefore, by time-dependently changing the tumbling frequency, the cell is forced to swim in a desired direction in real time. | E. Lemming cells are imaged using [[Team:ETHZ_Basel/InformationProcessing/Microscope|'''microscopy techniques''']]. The resulting images are processed by fast [[Team:ETHZ_Basel/InformationProcessing/CellDetection|'''cell detection and cell tracking algorithms''']], which determine the current movement direction of the chosen bacterium. The desired reference direction is [[Team:ETHZ_Basel/InformationProcessing/Visualization|'''visualized''']] and set by the input of the user, which is translated by the [[Team:ETHZ_Basel/InformationProcessing/Controller|'''the controller algorithm''']] into series of light pulses (red light and far-red light) . Therefore, by time-dependently changing the tumbling frequency, the cell is forced to swim in a desired direction in real time. | ||
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+ | To demonstrate parts of the information processing pipeline, the sidekick [[Team:ETHZ_Basel/InformationProcessing/Game|'''E. lemming 2D Game''']] was created, which is built on the basis of the [[Team:ETHZ_Basel/Achievements/Matlab_Toolkit|'''Matlab Toolkit''']]. |
Revision as of 19:03, 26 October 2010
Information Processing Overview
Although the synthetic network we implemented makes the tumbling frequency of E. coli cells dependent on red and far-red light, the biological part alone is not sufficient to control the swimming direction of E. lemming. Thus, it is complemented by a complex in silico network centered around a controller which guides the cell towards the desired destination.
E. Lemming cells are imaged using microscopy techniques. The resulting images are processed by fast cell detection and cell tracking algorithms, which determine the current movement direction of the chosen bacterium. The desired reference direction is visualized and set by the input of the user, which is translated by the the controller algorithm into series of light pulses (red light and far-red light) . Therefore, by time-dependently changing the tumbling frequency, the cell is forced to swim in a desired direction in real time.
To demonstrate parts of the information processing pipeline, the sidekick E. lemming 2D Game was created, which is built on the basis of the Matlab Toolkit.