Share the images and I can help.

You would need to form a distance matrix, and look at how many neighbors are present around each cell, and at what distances.

Quantitative analysis of co-localisation is a bit harder than it appears on the first glance.

One strategy is to apply a thresholds to both channels and analyze the pixels passing the threshold in both channels.

Likely Leica offers a pixel-by-pixel plot of intensity in one channel vs. the other with applicable threshold etc.

Otherwise, Imagej /Fiji has several tools for this. Maybe start reading here:

https://imagej.net/Colocalization_Analysis

If you did not use imagej before, make sure you use Fiji which has most tools pre-installed: https://fiji.sc/

this might be a good start as well:

Article A practical guide to evaluating colocalization in biological...

Most of the strategies go back to:

Article Measurement Of Colocalization Of Objects In Dual-Color Confocal Images

Here is a great paper describing common quantitative methods. ImageJ has a plugin to do these methods.

A practical guide to evaluating colocalization in biological microscopy.

Dunn KW, Kamocka MM, McDonald JH.

Thanks much for your valuable suggestions..@ Ralf Schmauder , I appreciate your detailed suggestions about the different methods that i could use . Thanks!

@ Christopher B O'Connell , Thank you very much for sharing the review article. I appreciate it!