I would suggest trying Cell Profiler:

https://cellprofiler.org/

https://imagej.net/CellProfiler

See how it is used to answer your question here:

Article Automated Detection of Binucleated Cell and Micronuclei usin...

Are you scoring manually and finding it hard? In that case, first you can do supervised scoring manually, the paper by Fenech is useful with figures etc. @Melissa has a good suggestion, but automation can be used when there is heavy workload and user is clear about possible false positive and false negative readings, it will not teach, and it should not! Take a human help first! Best regards

I will suggest that after you are able to find away around how to differentiate mono-, bi- and multinucleated cells using the ImageJ, it is highly recommended that you similarly score your cells manually.

I read the paper posted by Mellissa Chernick on Automated Detection of Binucleated Cell and Micronuclei using...

the authors concluded as follow "In conclusion, the binucleated cells and micronuclei counting using CellProfiler were comparable but not better than manual counting".

This will help to avoid false positive and false negative results.

MetaSystems Germany has a valuable solution but you do not only buy a software, it an image analysis system

https://metasystems-international.com/

We work with their system for years for diverse genotox endpoints (HCA, MNT in vitro with diverse cell lines and HuLy, MNT in vivo and Comet)

Hi Claudia

this is my thesis supported by photo

Thesis UTILIZATION OF MICRONUCLEUS TEST AND GENETIC MARKERS FOR DET...