Team:Aachen/CellockHolmes

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<h1>Cellock Holmes - a case of identity </h1>
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<h1>Cellock Holmes</h1>
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<img style="float: left; margin: 15px 15px 15px 15px;" src="https://static.igem.org/mediawiki/2014/a/ad/Aachen_Cellock_Rand.png" width="350" />
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Pathogens on solid surfaces in places where good hygiene is crucial pose a serious threat, since – even after cleaning – these can still be present in dangerous amounts. This is demonstrated by the high number of 3.2 million patients each year that have to be treated due to in the health sector acquired infections. And 37000 of those infections end deadly. The EU estimates that at least 20-30% of those cases would be preventable with an intensive hygiene program. However, for a more effective control these respective pathogens have to be identified.  
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Our device Cellock Holmes is designed to be an automated 2D fluorescence analyser. We aim to be able to quickly measure the fluorescence emitted by our sensor cells and automatically analyze the emitted images with our software Measurarty. This will enabel us to reliably detect the amount of CFU (colony forming units) of the pathogens present on the sample. The device will have different Filters for different wavelenghts included to be able to analyze different fluorescent proteins at the same time.  
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We are developing a system that makes this possible. We are constructing a device with which pathogens can be detected easily, efficiently, effectively and less expensively by utilising genetically modified cells. We focus on a fast response time coupled with an automated analysis.
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More information will be available soon!
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Our project is not only applicable to the detection of pathogens but we are looking to develop it further into a platform for a general 2D detection of nearly any cell or substance. 
 
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Revision as of 13:45, 13 May 2014

Cellock Holmes

Our device Cellock Holmes is designed to be an automated 2D fluorescence analyser. We aim to be able to quickly measure the fluorescence emitted by our sensor cells and automatically analyze the emitted images with our software Measurarty. This will enabel us to reliably detect the amount of CFU (colony forming units) of the pathogens present on the sample. The device will have different Filters for different wavelenghts included to be able to analyze different fluorescent proteins at the same time.

More information will be available soon!

Contact Disclaimer

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