Difference between revisions of "Team:Bielefeld-CeBiTec/Project/Detection"

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<p>We want to design a practical test stripe for everyone. But how to, if superfolder GFP is the ideal reporter protein for <i> in vitro </i> protein synthesis (<a href= "https://2015.igem.org/Team:Bielefeld-CeBiTec/Project/Detection#Lentini2013">Lentini et al, 2013 </a>)? It is not visible for the naked eye. Therefore we designed a device to detect fluorescence. We researched previous iGEM projects with comparable needs and intentions, e.g. iGEM Aachen 2014. They used a filter in front of a sensor to detect fluorescence. But it did not work sufficiently. Another approach is to put a filter in front of the flash, as described by <a href= "https://2015.igem.org/Team:Bielefeld-CeBiTec/Project/Detection#Hossain2014">Hossain et al, 2014 </a>. They analyzed an already taken photo with a smartphone app.</p>
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<p>We want to design a practical test strip for everyone. But how, when superfolder GFP is the ideal reporter protein for <i> in vitro </i> protein synthesis (<a href= "https://2015.igem.org/Team:Bielefeld-CeBiTec/Project/Detection#Lentini2013">Lentini et al, 2013 </a>)? It is not visible to the naked eye. Therefore, we designed a device to detect fluorescence. We researched previous iGEM projects with comparable needs and intentions, e.g. iGEM Aachen 2014. They used a filter in front of a sensor to detect fluorescence. But it did not work sufficiently. Another approach is to put a filter in front of the flash, as described by <a href= "https://2015.igem.org/Team:Bielefeld-CeBiTec/Project/Detection#Hossain2014">Hossain et al, 2014 </a>. They analyzed a photo that had been taken with a smartphone camera.</p>
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<p> Both approaches use only one filter, while both emission and extinction require different filters. The usage of two filters on a smartphone with seperate camera and flashlight, one Filter for emission and one for extinction, is our new approach. Now we can detect the fluorescence specifically and display it on a photo. Nevertheless, it is still not practicable for the user. So we decided to provide a smartphone app for the analysis of the fluorescence as output signal. You only have to take a photo with two filters attached to your smartphone and the app analyzes it. </p>
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<p> Both approaches use only one filter, while both emission and extinction require different filters. The usage of two filters on a smartphone with seperate camera and flashlight, one filter for emission and one for extinction, is our new approach. Now we can detect the fluorescence specifically and display it on an image. Nevertheless, it is still not practicable for the user. So we decided to provide a smartphone app for the analysis of the fluorescence as output signal. You only have to take a photo with two filters attached to your smartphone and the app analyzes it. </p>
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<p> Furthermore it is important to take the photo in a dark environment. Therefore we designed a box that was buildt using a 3D printer. You can put your test strip inside the box, place your smartphone on the top of the box and take the photo. </p>
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<p> Furthermore, it is important to take the photo in a dark environment. Therefore, we designed a small box, which enables an exact positioning of smartphone, filters and test strip. This box can be 3D printed and is therefore cheap and easily customizable.</p>
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<p> <strong> To sum it up: An easy method for fluorescence imaging and analysis was invented. </strong> </p>
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<p> <strong> To sum it up: We provide an easy method for fluorescence imaging and analysis. </strong> </p>
 
<h2 id="Fluorescence_detection_references">References</h2>
 
<h2 id="Fluorescence_detection_references">References</h2>
 
      
 
      

Revision as of 23:44, 16 September 2015

iGEM Bielefeld 2015


Fluorescence Detection

We want to design a practical test strip for everyone. But how, when superfolder GFP is the ideal reporter protein for in vitro protein synthesis (Lentini et al, 2013 )? It is not visible to the naked eye. Therefore, we designed a device to detect fluorescence. We researched previous iGEM projects with comparable needs and intentions, e.g. iGEM Aachen 2014. They used a filter in front of a sensor to detect fluorescence. But it did not work sufficiently. Another approach is to put a filter in front of the flash, as described by Hossain et al, 2014 . They analyzed a photo that had been taken with a smartphone camera.

Both approaches use only one filter, while both emission and extinction require different filters. The usage of two filters on a smartphone with seperate camera and flashlight, one filter for emission and one for extinction, is our new approach. Now we can detect the fluorescence specifically and display it on an image. Nevertheless, it is still not practicable for the user. So we decided to provide a smartphone app for the analysis of the fluorescence as output signal. You only have to take a photo with two filters attached to your smartphone and the app analyzes it.

Furthermore, it is important to take the photo in a dark environment. Therefore, we designed a small box, which enables an exact positioning of smartphone, filters and test strip. This box can be 3D printed and is therefore cheap and easily customizable.

To sum it up: We provide an easy method for fluorescence imaging and analysis.

References

Lentini, Roberta; Forlin, Michele; Martini, Laura; Del Bianco, Cristina; Spencer, Amy C.; Torino, Domenica; Mansy, Sheref S. (2013): Fluorescent proteins and in vitro genetic organization for cell-free synthetic biology. In ACS synthetic biology 2 (9), pp. 482–489. DOI: 10.1021/sb400003y

Hossain, Arafat; Canning, John; Ast, Sandra; Rutledge, Peter J.; Yen, Teh Li; Jamalipour, Abbas. (2014): Lab-in-a-phone: Smartphone-based Portable Fluorometer for pH Field Measurements of Environmental Water. In Sensors Journal, IEEE, pp. 5095-5102. DOI: 10.1109/JSEN.2014.2361651

Take a look at the results of our project.