Light Microscopic Images Reconstructed by Maximum Likelihood Deconvolution

The main purpose of this chapter is to introduce the reader to the methodology of maximum likelihood (ML)-based deblurring algorithms. It is aimed at the interdisciplinary scientist, who may not be concerned about the underlying mathematical foundations of the methodology but who needs to understand the main principles behind the algorithms used. Some mathematical principles are explained, but the interested reader may find more details in the numerous publications cited in Holmes (1989, 1992), Krishnamurthi et al (1992), and Shaw and Rawlins (1991). A sample image reconstruction is presented from each of three microscope modalities, including the wide-field epifluorescence (WFF) microscope, the confocal pinhole laser-scanned epifluorescence microscope (CLSM), and the transmitted light brightfleld (BF) microscope.

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