Microscope Environment

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=See Also=
 
=See Also=
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* [[Microscope Vision Software]]
 
* [[Microscope Control Software]]
 
* [[Microscope Control Software]]
 
* [[Micron|MiCRoN project]]
 
* [[Micron|MiCRoN project]]
* [[Microscope Vision Software]]
 
 
* [[Pipette Reconstruction]]
 
* [[Pipette Reconstruction]]
  
 
[[Category:Projects]]
 
[[Category:Projects]]
 
[[Category:Micron]]
 
[[Category:Micron]]

Revision as of 23:57, 10 July 2007

Demo of automated positioning of micro-object (here: a piece of sugar)

Contents

MiCRoN Tests With Microscope

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.

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.

Microscope image of small solder spheres
Setup for automatically aligning a piece of sugar with the camera coordinate system (6.3 MByte video)
Automated tungsten tip approaching the piece of sugar (6.7 MByte video)
A bird's feather (reflected light, darkfield) (7.2 MByte video, 10.1 MByte video)
Microscope image of milk (9.5 MByte video)
Lateral stitching using the feedback of the microscope's drive

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