Imaris for Tracking

Jul 01, 2025
Category: General
Imaris for Tracking
Imaris for Tracking

Imaris for Tracking from Oxford Instruments, provides interactive processing, visualization and analysis software for 3D and 4D microscopic images. Applications include cell tracking, organelle tracking, lineage tracing, studying cell division, cancer cell invasion and much more.

Featuring state of the art volume rendering, plus object detection and tracking tools Imaris for Tracking is perfect for researchers who want to automatically analyse moving objects including those that divide over time, create a lineage tree plot and generate quantitative information from their image data. It includes groundbreaking technology to address the major bottleneck of today’s image analysis – effective quantification and surface visualization of objects within datasets of hundreds of gigabytes.

Imaris for Tracking gives the choice of proven Imaris 3D tracking algorithms: Brownian Motion, Auto-regresive Motion (Expert), Connected Components or Lineage to generate the most accurate tracking results for different types of moving objects. Users can automatically correct translational and rotational drift or track within the new freehand coordinate system (Reference Frame) or use the automated option for drift correction. Motion features include:

  • Automatically track objects of interest using one of the provided algorithms
  • Handle thousands of objects and time points
  • Represent trajectory or displacement using multiple visualization options
  • Calculate average and instantaneous speed, acceleration
  • Manually create and edit tracks

After segmenting the image data Imaris calculates a wide range of statistics through time for all detected objects, Surfaces and Spots. All values can be used for colour coding, plotted inside Imaris (using Vantage plots) or exported in an .csv or .xls file format.

Imaris for Tracking enables easy manual editing of the results of automated tracking. Use Labels to add additional descriptive parameters.

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