I'm using confocal microscopy to examine actin cytoskeletons. The way the microscope is set up, the width of each slice is about 3 um, which is large compared to the features of interest. I've seen a lot of mentions of blind iterative deconvolution over the last few days and I'm wondering if it will help me deblur my images, especially because trying to collect an empirical PSF sounds difficult. Unfortunately, nobody seems to have implemented these algorithms for ImageJ yet. Does anyone have any experience using these, hopefully in open-source software? What implementations would you recommend? Thanks!
There are some for ImageJ, but it is suggested that the best bling algorithm is implemented in commercial software AutoQuant. The list of interesting blind and nonblind algorithms can be found here http://deconvolve.net/DNLinks.html
The one of blind methods I like most among mentioned is LASIP.
But why do you prefer blind deconvolution? Nonblind ones usually give better results and are less computational intesive. The best among commercial is Huygens Suite (week trial available in www.svi.nl), the best among freeware is COSMOS (http://cirl.memphis.edu/cosmos.php , new release will be ready in several weeks). For WF microscopy the mentioned ones give very high image quality improvement.
Thanks for the helpful advice, everyone! The microscopy and confocal listservs look like good resources. I'll give COSMOS a swing and see how things go while I check if anyone's worked up an empirical PSF for the system I'm using.
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