Dear Ilya,
I have been running couple of examples using Deernet in spinach and I have seen that in some cases there is no background fit in the result and obviously no modulation depth. Is this related to the raw data that somehow is not satisfying the required conditions. I have attached an example.
Regards.
Background correction in Deernet
Background correction in Deernet
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Re: Background correction in Deernet
Read the console output - it should say something about why the background analysis is skipped. Usually this happens when the networks are uncertain about the background: either the trace is too short, or there's a long distance edge peak.
Re: Background correction in Deernet
Thanks Ilya,
Problem solved with cutting the last bit of the data as it was giving a significant distance density at the long edge!!
I am getting there slowly and hopefully surely.
many thanks again from your prompt replies and assistance.
Regards.
Problem solved with cutting the last bit of the data as it was giving a significant distance density at the long edge!!
I am getting there slowly and hopefully surely.
many thanks again from your prompt replies and assistance.
Regards.