Re: Intensity measurements by Gaussian peak fitting

Posted by Herbie on May 05, 2019; 2:45pm
URL: http://imagej.273.s1.nabble.com/Intensity-measurements-by-Gaussian-peak-fitting-tp5022156p5022158.html

Good day,

this is a cross-post from the Forum.

The problem with your image is that it is so noisy that I can't decide
by eye and without any previous knowledge of how your particles look
like and what is signal (particle) and what is noise.

Furthermore, the sample image is spatially badly resolved and I doubt
that they are really diffraction-limited.

Finally, be aware of the fact that by filtering such noisy images you
can get nearly every signal or shape you want, depending on the type of
filter you apply.

Careful Fourier-spectral analysis of the sample image shows that the
particles in question are suspected to show significant spectral
components up to about 27 percent of the Nyquist frequency. With this
limit I conclude that a Gauss-filter of sigma 1.4 pixel may serve as a
starting point for image filtering the proposed by you.

Please find the filtered image attached to this message.

Regardless what approach you use, you will not get significantly better
results.

Good luck

Herbie

:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
Am 05.05.19 um 14:04 schrieb WantobeImageAnalyst:

> I have a spinning disk confocal image which has a lot of noise and
> particle(my interest). I need the only total intensity of spots in 2D and 3D
> images using ImageJ or Matlab in diffraction-limited images. My particles
> are slowly moving.
>
> I want to apply 2D Gaussian fitting to particles which have a different
> offset of noise. Then, I would measure the intensity of each particle.
> What and How can I do for that?
>
> <http://imagej.1557.x6.nabble.com/file/t382308/sample0505.jpg>
>
>
>
> --
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> ImageJ mailing list: http://imagej.nih.gov/ij/list.html
>

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