Inverse Problems in Scattering

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Dynamic light scattering (DLS) data presents an inverse problem where the challenge lies in determining particle sizes from their scattered spectrum. The forward problem is straightforward, but inverting the data to retrieve original sample properties is complex. Users are seeking mathematical methods and coding solutions, particularly in MATLAB, to develop their own inversion routines. Recommendations include specific papers and the CONTIN program, which can recover particle size distributions but may be complicated or slow for some users. Overall, the discussion emphasizes the need for accessible tools and methods in solving inverse problems in scattering.
Steve Drake
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Hi Guys,

I am doing a bit of work with dynamic light scattering (DLS) data. It is one of the many areas of science where we encounter an inverse problem.

The forward problem is: For a known sized particle, calculate its scattered spectrum (that is easy). The inverse problem is: from the scattered spectrum, calculate the size(s) of the partcile(s) that made the spectrum (that is hard).

What I would like to know is how, given an experimental data set, do you invert that data set to get the original sample properties? I just read some books and they don't seem to go into the maths.

Any help would be greatly appreciated. I am pretty good at MATLAB and would like to code my own inversion routines.

Thanks
 
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opticspcs said:
You can the simulated CONTIN program, (http://www.mathworks.cn/matlabcentral/fileexchange/6523-rilt ), it is relative simple. It can recover the particle size distribution fom dynamic light scattering data.

Best regards.

Hi mate,

thanks for the reply to my very old topic hah. I had a go at that cause the original CONTIN is too complicated for me to use. rILT seems to work but its very slow. I have been using other methods in the mean time.

Thanks.
 
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