Difference between revisions of "Team:Bielefeld-CeBiTec/Software"
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<div><p>We solved this problem with a smartphone App. It determines the median of the greenvalue of some pixels in the sensorspot and compares it to these of the negative control. If the ratio of real sample and negative control is above a certain theshold, the app detects a contamination. It also checks whether the value for the positive control is above a certain value, thereby confirming the functionality of the test. Furthermore it contains specific information regarding the different heavymetals and date rape drugs. | <div><p>We solved this problem with a smartphone App. It determines the median of the greenvalue of some pixels in the sensorspot and compares it to these of the negative control. If the ratio of real sample and negative control is above a certain theshold, the app detects a contamination. It also checks whether the value for the positive control is above a certain value, thereby confirming the functionality of the test. Furthermore it contains specific information regarding the different heavymetals and date rape drugs. | ||
</p></div> | </p></div> | ||
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| + | <div class=col-md-4> | ||
| + | <figure> | ||
| + | <img src="https://static.igem.org/mediawiki/2015/b/b2/Bielefeld-CeBiTec_app1small.png"> | ||
| + | <figcaption>A photo of our test strip generated by a typical smartphone using an ideal filter combination to detect fluorescence of sfGFP.</figcaption> | ||
| + | </figure> | ||
| + | </div> | ||
| + | <div class=col-md-4> | ||
| + | <figure> | ||
| + | <img src="https://static.igem.org/mediawiki/2015/8/80/Bielefeld-CeBiTec_app2small.png"> | ||
| + | <figcaption>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.</figcaption> | ||
| + | </figure> | ||
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| + | <div class=col-md-4> | ||
| + | <figure> | ||
| + | <img src="https://static.igem.org/mediawiki/2015/e/e0/Bielefeld-CeBiTec_app3small.png"> | ||
| + | <figcaption>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.</figcaption> | ||
| + | </figure> | ||
| + | </div> | ||
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<div class="row footer"> | <div class="row footer"> | ||
<div class="col-md-2 col-md-offset-0 text-center"> | <div class="col-md-2 col-md-offset-0 text-center"> | ||
Revision as of 20:15, 14 September 2015
Our App
Fluorescence Quantification via smartphone
The Problem
Fluorescence is a widely used output signal in many microbiological and biotechnological applications. Green fluorescent protein (GFP) is among the mostly 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 impossible.
The Solution
We solved this problem with a smartphone App. It determines the median of the greenvalue of some pixels in the sensorspot and compares it to these of the negative control. If the ratio of real sample and negative control is above a certain theshold, the app detects a contamination. It also checks whether the value for the positive control is above a certain value, thereby confirming the functionality of the test. Furthermore it contains specific information regarding the different heavymetals and date rape drugs.
