Deconvolution in Optical Microscopy Algorithms for Deconvolution
Microscopy Over the past ten years, a wide variety of both
simple and complex algorithms has been developed to assist the
microscopist in removing blur from digital images. The most
commonly utilized algorithms for deconvolution in optical
microscopy can be divided into two classes: deblurring and image
restoration. Deblurring algorithms are fundamentally two-
dimensional, because they apply an operation plane-by-plane to
each two-dimensional plane of a three-dimensional image stack.
In contrast, image restoration algorithms are properly termed
"three-dimensional" because they operate simultaneously on every
pixel in a three-dimensional image stack. Before continuing,
several technical terms must be defined. The object refers to a
three-dimensional pattern of light emitted by fluorescent
structures in the microscope's field of view. A raw image refers
to an unprocessed digital image or image stack acquired from the
microscope. Particular regions