Difference between revisions of "Team:Munich/Achievements"

 
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<font size=7 color=#51a7f9><b style="color: #51a7f9">Description</b></font>
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<font size=7 color=#51a7f9><b style="color: #51a7f9">Achievements</b></font>
 
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<p class="introduction">
 
<p class="introduction">
Thanks to advances in molecular biology and biochemistry, scientists have been able to consistently detect lower and lower concentration of molecules<sup><a class="myLink" href="#ref_1">1</a></sup>, to the point where single molecules can be reliably recognized using methods such as polymerase chain reaction (PCR)<sup><a class="myLink" href="#ref_2">2</a></sup>, fluorescence in situ hybridization (FISH)<sup><a class="myLink" href="#ref_3">3</a></sup> and enzyme-linked immunosorbent assays (ELISA)<sup><a class="myLink" href="#ref_4">4</a></sup>. This has opened doors for synthetic biology to create better and more accurate diagnostic tests that use biomarkers like nucleic acids and proteins as a target<sup><a class="myLink" href="#ref_5">5</a>,<a class="myLink" href="#ref_6">6</a></sup>. These advances have led to development of the field of molecular diagnostics. Unfortunately, current standard diagnostic methods require expensive equipment or trained personnel, which limits their usability to hospitals or laboratories. Recently, there has been a push to develop new tests that fuse the reliability of standard methods with affordable platforms such as lab-on-a-chip or paper strips  to overcome these restrictions<sup><a class="myLink" href="#ref_7">7-9</a></sup>. We wanted to help seal this gap and thus set out to engineer a diagnosis principle for the detection of a wide array of targets that could be used at the point-of-care.
 
 
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<img src="https://static.igem.org/mediawiki/2017/d/d1/T--Munich--Awards_Medals.svg" src="920">
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<h3>Nominated for Best Wiki</h3>
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<h3>Nominated for Best Presentation</h3>
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<h3>Nominated for Best Poster</h3>
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<h3>Nominated for Best Integrated Human Practices</h3>
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<h3>Nominated for Best Education & Public Engagement</h3>
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<h3>Nominated for Best Measurement</h3>
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<h3>Nominated for Best Composite Part</h3>
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<h3>Nominated for Best Part Collection</h3>
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Latest revision as of 12:24, 15 December 2017


Achievements

Nominated for Best Wiki

Nominated for Best Presentation

Nominated for Best Poster

Nominated for Best Integrated Human Practices

Nominated for Best Education & Public Engagement

Nominated for Best Measurement

Nominated for Best Composite Part

Nominated for Best Part Collection