Thank you!!
This works perfectly in our code when we subtract the background and then set
the first element in the array of intensities to zero.
Fit.doFit("Exponential Recovery (no offset)", timepoints, normalizedMeans);
Michael Cammer, Sr Research Scientist, DART Microscopy Laboratory
NYU Langone Health, New York, NY 10016
[email protected]<mailto:[email protected]>
http://nyulmc.org/micros http://microscopynotes.com/
Cell voice (no text) 1-914-309-3270
Office 1-646-501-0567
________________________________
From: Michael Schmid <[email protected]>
Sent: Thursday, August 8, 2024 4:10:47 AM
To: [email protected]
Subject: Re: Exponential recovery
[EXTERNAL]
On 07.08.24 23:05, Cammer, Michael wrote:
> Using the exponential fit curve fitting, is there a way to
> constrain the first point to always fit to the first point
> in the raw data?
Hi Michael,
you can subtract the value of the first point from all the data. This
puts the first point is to x = y = 0. Then use the "Exponential Recovery
(no offset)" fit, which always passes through x = y = 0.
-- Michael
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