Microscope Environment

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).

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.

At the moment we are using a motorized Leica DM LAM controlled by serial-port and a Basler A302fc IIDC/DCAM compatible firewire camera.

Object recognition and tracking of syringe chip in 3-D/4 DOF (16 MByte video)	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)	Stitching using the feedback of the microscope's drive

See Also

• Microscope Control Software
• MiCRoN project
• Microscope Vision Software
• Pipette Reconstruction