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Who We Are
VayTek offers Advanced Image Processing Systems,
including both hardware and software for:
- Microscopy
- Industrial Inspection
- Medical Imaging
- Quality Control
- Non-Destructive Testing
- Deconvolution of Confocal Images
- 3D Volume Visualization and Measurement
VayTek, Inc.
505 North Third Street
Suite 200
Fairfield, IA 52556
Tel 641-472-2227
Fax 641-472-8131
Email vaytek@vaytek.com
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Application Note
Single Image Haze Removal from an Archived File
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Neuron - Before Haze Removal

Neuron - After Haze Removal
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VayTek's proprietary Single Image Haze Removal
algorithm uses a point spread function to calculate and remove
the out-of-focus haze from a single microscope image. This capability
has several implications:
- Experimental protocols that have a time course
too short to allow for multiple image acquisition at varying
vertical depths, and consequently the use of more sophisticated
haze removal algorithms, can be used with this technique. For
example, single images from calcium ratio experiments can be
cleaned up.
- The haze can be removed from thin specimens
acquired at high magnification (e.g., DNA). Because some specimens
are so thin, it can be difficult to capture multiple images at
different depths for other algorithms.
- Archived images are usually single images.
Researchers seldom save a stack of images from a specimen. The
single image algorithm lets the researcher retrieve stored images
and re-examine them.
The image in the upper left was archived and
retrieved after two years. The image at the lower left was processed
using the VayTek's proprietary Single Image Haze Removal algorithm.
The image shows a neuron growing on a substrate
lithographed onto a glass slide. Identifying the location of
the substrate was important, although it was not apparent using
optical techniques. The Single Image Haze Removal algorithm clearly
identifies the location of the photoresist used to create the
grid.
For more information on haze removal software
see MicroTome.
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