Deconvolution in Optical Microscopy

Section Overview:

Deconvolution is a computationally intensive image processing technique that is being increasingly utilized for improving the contrast and resolution of digital images captured in the microscope. The foundations are based upon a suite of methods that are designed to remove or reverse the blurring present in microscope images induced by the limited aperture of the objective.

Practically any image acquired on a digital fluorescence microscope can be deconvolved, and several new applications are being developed that apply deconvolution techniques to transmitted light images collected under a variety of contrast enhancing strategies. One of the most suitable subjects for improvement by deconvolution are three-dimensional montages constructed from a series of optical sections.

Review Articles

Selected Literature References and Internet Resources

Contributing Authors

Wes Wallace - Department of Neuroscience, Brown University, Providence, Rhode Island 02912.

Lutz H. Schaefer - Advanced Imaging Methodology Consultation, Kitchener, Ontario, Canada.

Jason R. Swedlow - Division of Gene Regulation and Expression, School of Life Sciences Research, University of Dundee, Dundee, DD1 EH5 Scotland.

Thomas J. Fellers and Michael W. Davidson - National High Magnetic Field Laboratory, 1800 East Paul Dirac Dr., The Florida State University, Tallahassee, Florida, 32310.