3D Object Tracking and Lineage Tracing
Capturing the motion of life
Detecting, analyzing and understanding how cells, organelles and particles move in 3D environments is essential for a wide range of research fields. Moreover, normal cell division and cell differentiation are both critical to the development and homeostasis of most biological systems including humans. Abnormal cell division and uncontrolled cell differentiation are critical factors in a variety of conditions including cancer, immunological disorders and developmental defects.
Aivia 7 introduces a state-of-the-art 3D object tracking approach which builds on the 3D object detection recipe launched in Aivia 6 and seamlessly blends the advantages of motion and intensity based object tracking. See our ASCB|EMBO 2017 poster describing underlying technology here.
In addition, Aivia 7 automatically traces cell lineages and displays them in the 3D View and in two plot types (Lineage and Flow plot). Both plots are synchronized with the 3D View, the Track Editor (see below) as well as the Spreadsheet thus allowing the user to easy inspection of the results, determine their accuracy as well as relevance.
3D object tracking
3D lineage tracing and fate analysis
Dual score tracking algorithm (Motion vs Intensity)
Wide range of track display options
Motion and lineage specific measurements
Supports large data sets (tens of GB per time point, over 1TB per experiment)
After tracking the user has a myriad of track display options which include independent controls for tracks, anchors (i.e. the track points), trends (i.e. the vectors that indicate overall direction for each track). Each display option has its own size/scale and color controls to ensure you can get the perfect visualization output for your presentations and publications.
Note: Aivia introduced 2D object tracking and lineage tracing in 2013