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WHITE PAPER: Image Processing with Deconvolution (1/16/2020)

WHITE PAPER: Image Processing with Deconvolution

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Thursday, January 16, 2020

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Image Processing with Deconvolution

In an effort to improve the contrast and sharpness of images captured with light microscopes, deconvolution has become a mainstay in the field of microscopy due to its ability to computationally achieve these goals without the need for additional optics or confocal pinholes. This white paper explains the differences between popular deconvolution techniques such as deblurring, inverse filtering, and constrained iterative methods to help determine which algorithms best suit your imaging needs.

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