Posted by
bnorthan on
Jan 18, 2013; 10:01pm
URL: http://imagej.273.s1.nabble.com/deconvolution-problem-tp5001407p5001476.html
Hi Amy
Yes as far as I know all the algorithms in Deconvolution Lab need the
PSF to be shifted.
In terms of papers if you want something general I would recomend the
following.
Biggs, S. C., “A practical guide to deconvolution of fluorescence
microscope imagery,” Microscopy Today 18(1), 10-14 (2010).
In terms of specific details for DeconvolutionLab... they implement a
few algorithms. Richardson Lucy is the basic one. Richardson Lucy
with TV Regularization and Thresholded Landweber are more advanced.
They should produce better results but have more complicated input
parameters. I tried them a couple of times before but didn't get the
result I expected. Though I personally haven't had a chance to work
with those algorithms much and figure out the right settings. Maybe
someone else has more experience with them?? You should keep asking
around. The references for those algorithms are below....
Dey, N., Bland-Feraud L., Zimmer, C., Roux, P., Kam, Z., Olivo-Marin,
J.-C., and Zerubia, J., “Richardson-Lucy algorithm with total
variation regularization for 3D confocal microscope deconvolution,”
Microscopy Research and Technique, 69, 260-266 (2006).
Vonesch, C. and Unser, M., “A fast thresholded Landweber algorithm for
wavelet-regularized multidimensional deconvolution,” IEEE transactions
on image processing, 17(4), 539-549 (2008).
On Fri, Jan 18, 2013 at 3:43 PM, Amy Cao <
[hidden email]> wrote:
> Hi Brian,
>
> Is that mean all the algorithms in Deconvolution Lab require the center of
> the PSF to be 0,0,0?
>
> Sorry about this simple question, because I am not doing the algorithms
> things, and I always confused about that. Is it possible for you maybe to
> recommend some papers about this deconvolution so that I can get some ideas
> about it?
>
> Thank you so much,
>
> Jianwei Cao
>
> On Thu, Jan 17, 2013 at 6:50 AM, Brian Northan <
[hidden email]> wrote:
>
>> Hi Amy
>>
>> Yes. The equations in the deconvolution consider the center of the
>> PSF to be 0,0,0. While on the other hand in an image the center is
>> ussually at width/2, height/2, depth/2. So flip PSF moves the
>> coordinate system to where the algorithm needs it to be.
>>
>> Brian
>>
>> --
>> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>>
>
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