Microscope Environment
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| − | + | <object type="application/x-shockwave-flash" data="http://vision.eng.shu.ac.uk/jan/flv/flvplayer.swf" width="400" height="364"> | |
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| − | + | value="file=http://vision.eng.shu.ac.uk/jan/flv/sugar.xml&searchbar=false&displayheight=300" /> | |
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| − | + | <div class="thumbcaption">Demo of automated positioning of micro-object (here: a piece of sugar)</div> | |
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=MiCRoN Tests With Microscope= | =MiCRoN Tests With Microscope= | ||
Latest revision as of 17:05, 6 February 2011
Contents |
[edit] MiCRoN Tests With Microscope
[edit] Recognition/Tracking the Syringe Chip
The same software, which was applied in the MiCRoN test environment also can be applied to a microscope. The video input in this case was a firewire digital camera (IIDC/DCAM compatible). At the moment we are using a motorized Leica DM LAM controlled by serial-port and a Basler A302fc IIDC/DCAM compatible firewire camera.
[edit] Rotating A Piece Of Sugar
If you have a motorized microscope, a fast camera and a computer, you just need vision software to do robotics under your microscope. Semi-automated tools, which are assisting the human operator, are conceivable. Here you can see a proof-of-concept for this.
After the piece of sugar and the tungsten tip have been brought into field of view manually, the system automatically aligns the piece of sugar with the coordinate system of the camera. If you watch the video, you'll see, that every time the piece of sugar is lost by the vision system, the tungsten tip will be moved to a neutral position.
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