<a type="button" class="btn btn-default btn-next" href="https://2015.igem.org/Team:Bielefeld-CeBiTec/Project/Biosafety"><img src="https://static.igem.org/mediawiki/2015/5/51/Bielefeld-CeBiTec_iGEM_logo.png"><p>Ok, so my GMOs are in a box and everything is safe?</p></a>
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<h2>Software</h2>
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<h4>Note</h4>
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<p>In order to be considered for the <a href="https://2015.igem.org/Judging/Awards#SpecialPrizes">Best Software Tool award</a>, you must fill out this page.</p>
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<p>Regardless of the topic, iGEM projects often create or adapt computational tools to move the project forward. Because they are born out of a direct practical need, these software tools (or new computational methods) can be surprisingly useful for other teams. Without necessarily being big or complex, they can make the crucial difference to a project's success. This award tries to find and honour such "nuggets" of computational work.</p>
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If you are working on software as your main project, please join the software track. If you are creating software as an addition to your main project, please apply for this award.
Fluorescence is a widely used output signal in many microbiological and biotechnological applications. Green fluorescent protein (GFP) is among the most used reporter proteins and has been used in numerous iGEM projects. Nevertheless fluorescence can barely be detected by the eye and quantification turns out to be nearly impossible.
Our Solution
We solved this problem with a smartphone App. The App determines the median of the greenvalue of a area of pixels in the sensorspot and compares it to the pixels of the negative control (the not induced sensor). If the ratio of a sample and the negative control is above a certain theshold (10%), valid biosensor signal is detected. Additionally it is checked whether the value for the positive control (drop of sfGFP) is above a certain value, thereby confirming the functionality of the biosensor. Furthermore the App displays specific information regarding the different heavymetals and date rape drugs to inform the user.
For easy handling a correct positioning of the smartphone and the biosensor test strip, we designed and printed a measurement case.
A photo of our test strip generated by a typical smartphone using an ideal filter combination to detect fluorescence of sfGFP.
Screenshot of the app. It shows the pixels it took into account for the calculation in red, so the user can check, whether the pixels chosen are correct. Furthermore, it provides the values it calculated for the greeness of the spot.
The application is adapted to the box shown in the picture. The box provides the ideal environment for capturing pictures under reproducible conditions. The application will calculate whether a contamination is present and give out an list of the contaminants in the water sample.
