Difference between revisions of "Team:Oxford/Measurement"

 
(12 intermediate revisions by 3 users not shown)
Line 9: Line 9:
  
 
<h1>Measurement</h1>
 
<h1>Measurement</h1>
 +
 +
<center><img class="img-responsive" width="200px;" src="https://static.igem.org/mediawiki/2017/2/29/T--oxford--measurementlogo.png"></center><br>
  
 
<p>We have developed a lightweight, user-friendly MatLab tool that is able to extract relative quantitative data from microscopy images. Current systems include software such as ImageJ which although more comprehensive, require further training for effective use. Specifically, most software suites only focus on cell segmentation in phase contrast images, with very little support for differential interference contrast (DIC) images. We have developed a MATLAB tool that can quickly and automatically pick out cells in a DIC image. We have tested this system with our microscopy data, and has saved us a large amount of time in data analysis.</p>
 
<p>We have developed a lightweight, user-friendly MatLab tool that is able to extract relative quantitative data from microscopy images. Current systems include software such as ImageJ which although more comprehensive, require further training for effective use. Specifically, most software suites only focus on cell segmentation in phase contrast images, with very little support for differential interference contrast (DIC) images. We have developed a MATLAB tool that can quickly and automatically pick out cells in a DIC image. We have tested this system with our microscopy data, and has saved us a large amount of time in data analysis.</p>
 +
<br>
 +
<br>
  
 +
<div class="container">
 +
        <div class="panel-group" id="accordion" role="tablist" aria-multiselectable="true">
  
 +
            <div class="panel panel-default">
 +
                <div class="panel-heading" role="tab" id="find">
 +
                    <h4 class="panel-title">
 +
                    <a role="button" data-toggle="collapse" data-parent="#accordion" href="#find-collapse" aria-expanded="false" aria-controls="find-collapse">
 +
<div>
 +
                    <div class="col-md-11"><center>MATLAB Code for Measurement Device<center></div><div class="col-md-1"><i class="fa fa-arrow-down" aria-hidden="true"></i></div>
 +
</div>
 +
                    </a>
 +
                    </h4>
 +
                </div>
 +
                <div id="find-collapse" class="panel-collapse collapse" role="tabpanel" aria-labelledby="find">
 +
                    <div class="panel-body">
 +
<img class="img-responsive" src="https://static.igem.org/mediawiki/2017/1/1b/T--oxford--measurement--matlabcode.jpeg">
  
 +
</div>
 +
</div>
 +
</div>
 +
</div>
  
 +
<img class = "img-responsive img-center" src = "https://static.igem.org/mediawiki/2017/6/61/T--oxford--measurement--demo.png"></img>
 +
<h6>Figure 1. An Example of the Measurement Program Applied to One of Our Microscope Images</h6>
  
  
 +
</div>
 
</div>
 
</div>
 
</body>
 
</body>

Latest revision as of 03:48, 2 November 2017

Measurement


We have developed a lightweight, user-friendly MatLab tool that is able to extract relative quantitative data from microscopy images. Current systems include software such as ImageJ which although more comprehensive, require further training for effective use. Specifically, most software suites only focus on cell segmentation in phase contrast images, with very little support for differential interference contrast (DIC) images. We have developed a MATLAB tool that can quickly and automatically pick out cells in a DIC image. We have tested this system with our microscopy data, and has saved us a large amount of time in data analysis.



Figure 1. An Example of the Measurement Program Applied to One of Our Microscope Images