* 3D Microscopy Image Analysis：
The power of Imaris for Core Facilities lies in Imaris' multiple detection models and the versatility they provide for all users and their research problems. Four models (Spots, Surfaces, Cells and Filaments) can be harnessed to detect and analyse almost all biological samples, including cells, nuclei, nucleoli, bacteria, viruses, organs, neurons, dendritic spines, blood vessels and many more. Using them in combination alongside Imaris’ other tools opens the possibility to analyse dynamics of objects over time as well as their relationships with other objects in the image and to present these data in an elegant and informative fashion.

* Quantitative Image Analysis for 3D Microscopy
After detecting and segmenting the image data as objects using one of the 4 models, Imaris calculates a wide range of statistics. All values can be used for, filtering, labelling, color coding, plotted inside Imaris (using Vantage plots) or exported in a preformatted .csv or .xls file. Machine Learning Object Classification tool uses many of these values in addition to many more machine learning specific ones. The most common statistic types needed by biologists are presented below:
1. Motion Analysis: Speed, Acceleration, Cell division tracking, Trajectory, Event synchronization
2. Quantification: Count of objects, Area, Volume, Intensity, Position
3. Interactions: Distances between structures, Volume overlap/contacts, 3D intensity profiling, Spatial distribution, Co-localization
4. Batch and Plots: Image processing, Measurements, Interactions, Group comparisons, Statistical tests
5. Filaments/Neurons: Length, Straightness, Mean Diameter, Branching Angle, Spine Density, Spine Shape
6. Cells: Volume, Vesicles per Cell, Distance to Membrane, Vesicles per Nucleus, Morphology

Source: https://imaris.oxinst.com/products/imaris-for-core-facilities