If you have many images, I'd recommend using python/numpy:

1. Import the image as an array of pixels.

2. Find the averages/sums of columns/rows (e.g. using numpy.average()).

3. Plot or export the resulting distributions.

If you have only a couple of images, just convert them to an array (e.g. https://www.dcode.fr/binary-image) and process them similarly in excel/Origin/etc.

Have you tried image processing technique? In my research on settling velocity measurements, I tracked particles falling through water column using non intrusive imaging process. Images taken in millisecond interval will help you track particles. I hope it helps.

used the image process technique

This would be a great question to post in our new free medical imaging question and answer forum ( www.imagingQA.com ), there are a number of image processing experts in the community. If useful, please feel free to open a new topic at the link below :

https://community.imagingqa.com/c/questions/5

So, I think I find the best method,

the ImageJ software is an open-source software that can calculate many attributes, including area, position, shape, etc of particles in a matrix.

https://imagej.nih.gov/ij/download.html

Yes, Dr. Hamid reza Karimi. I have used this tool for my research. It is very helpful and most of the particle information is achievable.