Section Overview
Deconvolution is an image processing technique used to improve the contrast and resolution of images captured using an optical microscope. Out of focus light causes blur in a digital image. Mathetically, this can be represented as a convolution operation. Deconvolution seeks to remove or reassign this out of focus light present in digital images, thus improving the resolution of the final micrograph. Nearly all fluoresence images can be deconvolved, with advanced techniques like confocal and super-resolution also realizing the benefits of deconvolution.
Review Articles
Introduction to Deconvolution
This overview introduces you to the concept and applications of deconvolution in the field of microscopy.
Algorithms for Deconvolution
Learn the intricacies of the most commonly used deconvolution algorithms, including deblurring and image restoration.
Overcoming Aberrations and Deconvolution Artifacts
This section discusses the role optical aberrations and their resulting image artifacts play during deconvolution processing.
Measuring Resolution of Deconvolved Images
The success of deconvolution can be empirically measured using subresolution fluorescent beads.
Selected Literature References and Internet Resources
Deconvolution Resources
Listed in this section are links to web resources on deconvolution analysis, including software packages, hardware (microscopes and accessories), and laboratories involved with the technology.
Literature References
A number of review articles on deconvolution in optical microscopy have been published by researchers in the field and were utilized as references for this section.