Difference between revisions of "Team:Marburg/Collaborations"

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               <section class="section">
 
               <section class="section">
 
                 <h2 class="subtitle">The Colony picture Collaboration</h2>
 
                 <h2 class="subtitle">The Colony picture Collaboration</h2>
                 <figure Style="float:left; margin-right: 25px;">
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                 <div style="display: flex; flex-direction: column;">
                  <img style="height: 65ex; width: 50ex"
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                  <figure Style="float:left; margin-right: 25px;">
                    src=https://static.igem.org/mediawiki/2019/5/5e/T--marburg--colony_picking_2.jpeg
+
                    <img style="height: 65ex; width: 50ex"
                    alt="Bild von Roboter Platzhalter">
+
                      src=https://static.igem.org/mediawiki/2019/5/5e/T--marburg--colony_picking_2.jpeg
                  <figcaption>
+
                      alt="Bild von Roboter Platzhalter">
                    Figure 1: Pipetting Robot (OT-2) colony picking set up.
+
                    <figcaption>
                  </figcaption>
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                      Figure 1: Pipetting Robot (OT-2) colony picking set up.
                </figure>
+
                    </figcaption>
                <p style="margin-bottom: 25px;">
+
                  </figure>
                  Many repetitive tasks in the lab cost time such as pipetting or picking colonies from agar plates and
+
                  <div>
                  could technically be performed by robots. We used Opentrons OT-2 as a platform and designed hardware
+
                    <p style="margin-bottom: 25px;">
                  modules and scripts to outsource these tasks. Thereby, we can now offer the Opentrons user community
+
                      Many repetitive tasks in the lab cost time such as pipetting or picking colonies from agar plates
                  an automated pipeline to streamline laboratory practices in ways that haven’t been possible before.
+
                      and
                </p>
+
                      could technically be performed by robots. We used Opentrons OT-2 as a platform and designed
                <p>
+
                      hardware
                  For the software we decided to use an artificial intelligence (AI). Artificial intelligences however
+
                      modules and scripts to outsource these tasks. Thereby, we can now offer the Opentrons user
                  rely on huge data sets to learn their specific task to perfection. In our case, we chose pictures of
+
                      community
                  agar plates with colonies of E. coli as a suitable training set. Our experiments resulted in a big
+
                      an automated pipeline to streamline laboratory practices in ways that haven’t been possible
                  amount of agar plates but it was clear to us pretty quickly that we could never reach a big enough
+
                      before.
                  data set just by making photos of our own plates to get an AI with an adequate performance. To achieve
+
                    </p>
                  this goal, we launched the Colony picture collaboration. We asked other iGEM Teams if they could
+
                    <p>
                  provide us pictures of their agar plates with E. coli colonies with which we can then train the robot.
+
                      For the software we decided to use an artificial intelligence (AI). Artificial intelligences
                  In order to do that we published a script on how to take the ictures. We made the script as precise as
+
                      however
                  possible to make sure that the data set was as consistent as possible.
+
                      rely on huge data sets to learn their specific task to perfection. In our case, we chose pictures
                </p>
+
                      of
 +
                      agar plates with colonies of E. coli as a suitable training set. Our experiments resulted in a big
 +
                      amount of agar plates but it was clear to us pretty quickly that we could never reach a big enough
 +
                      data set just by making photos of our own plates to get an AI with an adequate performance. To
 +
                      achieve
 +
                      this goal, we launched the Colony picture collaboration. We asked other iGEM Teams if they could
 +
                      provide us pictures of their agar plates with E. coli colonies with which we can then train the
 +
                      robot.
 +
                      In order to do that we published a script on how to take the ictures. We made the script as
 +
                      precise as
 +
                      possible to make sure that the data set was as consistent as possible.
 +
                    </p>
 +
                  </div>
 +
                </div>
 
                 <figure Style="text-align:center">
 
                 <figure Style="text-align:center">
 
                   <img style="height: 50ex; width: 75ex"
 
                   <img style="height: 50ex; width: 75ex"

Revision as of 20:08, 21 October 2019

C O L L A B O R A T I O N S


Through this iGEM year we interacted with so many iGEM Teams all around the world. It was a pleasure working with all the different teams and learn from each other. We got so many impressions about other projects and hope we could help with our collaborations. A huge Thank you for every team collaboration!


C O L O N Y
P I C T U R E S


In our colony picking collaboration we asked other iGEM teams to supply us with data for our picking algorithm. Thanks to this group effort we could build our colony picking unit.

T H EAG O L D E NAG A T E

C O L L A B O R A T I O N


B E R L I N / D E L F T


U CAD A V I S


U F L O R I D A


I N T E R A C T I O N S

W I T H

O T H E RAT E A M S


M E E T U P S