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Image Acquisition Issues -
Data acquisition is critical to digital deconvolution in microscopy systems. Deconvolution algorithms can give accurate results if the original image has good dynamic range, a good signal/noise ratio and a minimum of background noise. Noisy or poor images cannot be deconvolved properly.
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Raw Data
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Deconvolved
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The images to the left illustrate these points. The left column shows the unprocessed images; the right column shows images that have been processed with MicroTome or HazeBuster.
Image 1 was captured with a SIT camera. It shows fluorescently stained neurons and neural glial cells. The image was averaged 32 times to reduce the camera noise. Image 2 shows red blood cells in transmitted mode. The CCD camera used for this application cost less than $700.00 Image 3 is a DIC image of growth cones. Image 4 shows fluorescently stained blood vessels in a rat embryo heart. The image was captured with a popular point scanning laser confocal microscope. |