Free and open source

Description from Github page:

A GUI-based Python framework for segmentation, tracking, cell cycle annotations and quantification of microscopy data.
Provides a GUI for neural network models including Segment Anything Model (SAM), YeaZ, cellpose, StarDist, YeastMate, omnipose, delta, DeepSea.

# Install the ultralytics package from PyPI
pip install ultralytics

You can also install ultralytics directly from the Ultralytics GitHub repository. This can be useful if you want the latest development version. Ensure you have the Git command-line tool installed, and then run:

# Install the ultralytics package from GitHub
pip install git+https://github.com/ultralytics/ultralytics.git@main

Aligning Big Brains & Atlases (ABBA) is a set of software components which allows users to register images of thin serial biological tissue sections, cut in any orientation (coronal, sagittal or horizontal) to atlases, usually brain atlases. ABBA is available as a Fiji plugin for performing registration; a QuPath extension is also available and recommended. Typically, a set of serial sections is defined as a QuPath project, that is registered within Fiji. The registration results can then imported back into QuPath for downstream processing (cell detection and classification, cell counting per region, etc.).

Available atlases include the 3D mouse Allen Brain atlas and the Waxholm Space Atlas of the Sprague Dawley Rat Brain. Depending on your installation method, you may also access all BrainGlobe atlases.

ImageJ macro script to streamline the original NMJ-morph methodology doi:10.1098/rsob.160240
Also requires Binary Connectivity https://blog.bham.ac.uk/intellimic/g-landini-software/ 

Tools for segmentation and tracking in microscopy build on top of Segment Anything. Segment and track objects in microscopy images interactively with a few clicks.