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Deconvolution Basis Deconvolution is a mathematical processing of images to reduce the blur from out of focus light. It brings improvements in both contrast and resolution and can be used for both 2D and 3D datasets. For example, here is a cell nucleus expressing H2B-GFP before and after deconvolution.
The SVI wiki contains a lot of very useful information about deconvolution and 3D microscopy. Some pages require a password, users of LMCF are allowed to use the facility login (ask Sam if you are interested). Capabilities We have Huygens SVI deconvolution software able to accurately process images acquired through these imaging modalities
For each it works by inputting various parameters about the images and using the Maximum Likelihood Estimation deconvolution algorithm to perform constrained iterative 3D deconvolution. It also has some very nice features for measuring and viewing 3D datasets. HOWTO: LMCF guide for deconvolving an image with Huygens More information More detail can be found at Huygen's deconvolution guidelines The manual from SVI is here (choose Huygens essential) and there is also a copy by the FFSC workstation |
