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Team:ETHZ Basel/InformationProcessing
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| - | Although the synthetic network we implemented makes the tumbling frequency of ''E. coli'' cells dependent on red and far-red light, the [[Team:ETHZ_Basel/Biology | biological part]] alone is not sufficient to control the swimming direction of E. lemming. Thus, it is complemented by a complex ''in silico'' setup centered around a controller which guides the cell towards the desired destination. | + | Although the synthetic network we implemented makes the tumbling frequency of ''E. coli'' cells dependent on red and far-red light, the [[Team:ETHZ_Basel/Biology | '''biological part''']] alone is not sufficient to control the swimming direction of E. lemming. Thus, it is complemented by a complex ''in silico'' setup centered around a controller which guides the cell towards the desired destination. |
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''']], that determine the current movement direction & trajectory of the chosen bacterium. The desired reference direction which is clearly [[Team:ETHZ_Basel/InformationProcessing/Visualization|'''visualized''']] is 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) that would lead E. lemming the right way. Therefore, by the change of 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''']], that determine the current movement direction & trajectory of the chosen bacterium. The desired reference direction which is clearly [[Team:ETHZ_Basel/InformationProcessing/Visualization|'''visualized''']] is 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) that would lead E. lemming the right way. Therefore, by the change of 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 <br>[[Team:ETHZ_Basel/InformationProcessing/Game|'''E. lemming 2D Game''']] was created, which is built using the capabilities of our very own [[Team:ETHZ_Basel/Achievements/Matlab_Toolbox|'''Matlab Toolbox (Lemming Toolbox)''']]. | To demonstrate parts of the information processing pipeline, the sidekick <br>[[Team:ETHZ_Basel/InformationProcessing/Game|'''E. lemming 2D Game''']] was created, which is built using the capabilities of our very own [[Team:ETHZ_Basel/Achievements/Matlab_Toolbox|'''Matlab Toolbox (Lemming Toolbox)''']]. | ||
Revision as of 17:54, 27 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 setup 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, that determine the current movement direction & trajectory of the chosen bacterium. The desired reference direction which is clearly visualized is 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) that would lead E. lemming the right way. Therefore, by the change of 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 using the capabilities of our very own Matlab Toolbox (Lemming Toolbox).
