Difference between revisions of "Team:IISc-Bangalore/Collaborations"

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<li><a href="#haemocytometry">Machine Learning | iGEM India</a></li>
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<li><a href="#haemocytometry">Machine Learning | iGEM India<img src="https://static.igem.org/mediawiki/2017/6/68/T--IISc-Bangalore--navbar_bullet.png" /></a></li>
<li><a href="#university-of-alberta">Literature Exchange | UAlberta</a></li>
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<li><a href="#university-of-alberta">Literature Exchange | UAlberta<img src="https://static.igem.org/mediawiki/2017/6/68/T--IISc-Bangalore--navbar_bullet.png" /></a></li>
<li><a href="#igem-india">Mini-Jamboree | IISER Pune</a></li>
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<li><a href="#igem-india">Mini-Jamboree | IISER Pune<img src="https://static.igem.org/mediawiki/2017/6/68/T--IISc-Bangalore--navbar_bullet.png" /></a></li>
<li><a href="#iit-madras">Database | IIT Madras</a></li>
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<li><a href="#iit-madras">Database | IIT Madras<img src="https://static.igem.org/mediawiki/2017/6/68/T--IISc-Bangalore--navbar_bullet.png" /></a></li>
 
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Revision as of 23:50, 31 October 2017

  1. Machine Learning | iGEM India
  2. Literature Exchange | UAlberta
  3. Mini-Jamboree | IISER Pune
  4. Database | IIT Madras

Our Initiative: A Machine Learning Algorithm for Cell Counting

Cell counting is a task done frequently by nearly all biologists. Manual cell counting can be tedious and there exist various cell counting software to help in the process. We tried to develop our own Machine Learning-based cell counting software, using Artificial Neural Networks. We needed images of cells to train our algorithm. We initiated an all-India iGEM team InterLab collaboration, in which teams across the country helped us in gathering image to form our training data set. We were not able to achieve the desired results, due to some problems in our model. A detailed description of our efforts is given below.

IISc--Bangalore--iGEM--Interlab--Cell--counting.pdf

A Literature Exchange: UAlberta

iGEM India: Mini-Jamboree @ IISER Pune

A Database Contribution: IIT Madras