Difference between revisions of "Team:Cambridge-JIC/Software"
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<p>Our software runs on nginx, a widely used lightweight web server. Behind this, we run an image streamer (<a href="https://github.com/moosd/mjpg-streamer" class="blue">mjpg-streamer</a>) and our own python scripts. nginx deals with the user control and load balancing, leaving us to implement the various features of our microscope.</p><center><a href="https://github.com/sourtin/igem15-sw/" class="btn btn-default btn-lg" style="color:#444;border-color:#444"><i class="fa fa-github"></i>Visit our github</a></center> | <p>Our software runs on nginx, a widely used lightweight web server. Behind this, we run an image streamer (<a href="https://github.com/moosd/mjpg-streamer" class="blue">mjpg-streamer</a>) and our own python scripts. nginx deals with the user control and load balancing, leaving us to implement the various features of our microscope.</p><center><a href="https://github.com/sourtin/igem15-sw/" class="btn btn-default btn-lg" style="color:#444;border-color:#444"><i class="fa fa-github"></i>Visit our github</a></center> | ||
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<a class="btn btn-default btn-lg" href="//2015.igem.org/Team:Cambridge-JIC/Autofocus" role="button" style="color:#3d3d3d;border-color:#3d3d3d">Learn More</a> | <a class="btn btn-default btn-lg" href="//2015.igem.org/Team:Cambridge-JIC/Autofocus" role="button" style="color:#3d3d3d;border-color:#3d3d3d">Learn More</a> | ||
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<p><b>Microscopy in a nutshell.</b></p><p>Everything you expect from a standard microscope. And more. WebShell shows the live stream from the microscope, while allowing control over the light sources and motorised axes. Apply sample recognition algorithms with opencv. Measure your cells by dragging a line across. Set up timelapses. Control it all from the keyboard like a video game. #gamifyingmicroscopy</p> </div></div> | <p><b>Microscopy in a nutshell.</b></p><p>Everything you expect from a standard microscope. And more. WebShell shows the live stream from the microscope, while allowing control over the light sources and motorised axes. Apply sample recognition algorithms with opencv. Measure your cells by dragging a line across. Set up timelapses. Control it all from the keyboard like a video game. #gamifyingmicroscopy</p> </div></div> | ||
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Revision as of 16:20, 17 September 2015