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

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<h1 id="haemocytometry">Our Initiative: A Machine Learning Algorithm for Cell Counting</h1>
 
<h1 id="haemocytometry">Our Initiative: A Machine Learning Algorithm for Cell Counting</h1>
  
<p>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.</p>
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<p>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 dataset. 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.</p>
  
<a href = 'https://static.igem.org/mediawiki/2017/d/de/T--IISc-Bangalore--Collaboration--ML--CellCounting.pdf'>IISc Bangalore iGEM InterLab Collaboration</a>
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<a href = 'https://static.igem.org/mediawiki/2017/d/de/T--IISc-Bangalore--Collaboration--ML--CellCounting.pdf'>Cell Counting nterlab collaboration - IISc iGEM</a>
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</p>
  
  

Revision as of 11:43, 1 November 2017

  1. Software | iGEM India
  2. Exchange | UAlberta
  3. 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 dataset. 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.

Cell Counting nterlab collaboration - IISc iGEM

A Literature Exchange: UAlberta

iGEM India: Mini-Jamboree @ IISER Pune

A Database Contribution: IIT Madras