A Need help with peak deconvolution

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Sheng2016
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I am new to peak deconvolution, I try to find information about this on the internet but just get a brief understanding of it. Can anyone provide me some suggestions or information about having a deeper understanding of this thing?
 
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Hello Sheng, :welcome:

You need to help us to provide assistance at the right level. Are you familiar with Fourier transforms ? The convolution theorem ? If not, google and pick the style of presentation you like best
 
BvU said:
Hello Sheng, :welcome:

You need to help us to provide assistance at the right level. Are you familiar with Fourier transforms ? The convolution theorem ? If not, google and pick the style of presentation you like best

Hi BvU,

I am not quite familiar with the Fourier transforms, I am trying to find some software that can help me with peak deconvolution. Do you know the software called "Ignor"? I'm trying to find if this can help me or not. Thanks!
 
What in particular are you trying to deconvolve?
 
gleem said:
What in particular are you trying to deconvolve?

I got data from experiment,it is a curve about intensity and time, and it is a combination of the IRF (instrument response factor) and the fluorescence intensity that I want to separate. Their relationship is
fit-1.png

whereas L is the IRF and I is the fluorescence intensity, N is the convolution. I am learning Igor now and try to find if it can help me to deconvolute it. Do you have any suggestions? Thanks!
 
A sphere as topological manifold can be defined by gluing together the boundary of two disk. Basically one starts assigning each disk the subspace topology from ##\mathbb R^2## and then taking the quotient topology obtained by gluing their boundaries. Starting from the above definition of 2-sphere as topological manifold, shows that it is homeomorphic to the "embedded" sphere understood as subset of ##\mathbb R^3## in the subspace topology.
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