Aivia Software
Phase Cell Tracking
- Hoyin Lai
- Aiden Maloney-Bertelli (Unlicensed)
- Casey McBride
- Quyen Tran
The Phase Cell Tracking recipe in Aivia detects cells and tracks their motility over time in time-lapse phase contrast microscopy images.
This recipe applies a machine-learning-based algorithm for cell segmentation.
The recipe measures the motion attributes of the detected cells for comprehensive characterization of cell migrations.
On this page:
Parameters and Presets
Parameters
Recipe parameters for Phase Cell Tracking and their descriptions are summarized in the table below.
Preset Group | Parameter Name | Min Value | Max Value | Description |
|---|---|---|---|---|
Detection | Background Flattening Factor | 0 | 100 | Adjusts the sensitivity of the background flattening operation; a lower value will preserve larger objects and more background variations |
Contrast Threshold | 0 | 255 | Adjusts the detection sensitivity on the machine-learning-enhanced image; a lower value will detect bigger and more objects | |
Fill Holes Size | 0 | 50,000 px2 or µm2 | Adjusts the maximum size threshold for filling in gaps inside a detected object; a lower value will preserve more holes in the detection | |
Smoothing Factor | 0 | 100 | Adjusts the amount of smoothing applied to the outlines of the detected objects; a lower value will preserve more of the objects' morphological features | |
Tracking | Object Size | 0 | 1,000,000 px2 or µm2 | Specifies the range of objects to be included in the analysis results based on the areas of the detected objects |
Max Search Range | 0 | 1,000 px or µm | Specifies the maximum distance for track-point matchmaking between successive time frames; a higher value will expand the search distance for fast-moving cells | |
Min Track Length | 0 | 1,000 | Specifies the minimum number of time frames before a detected object is considered a valid track; a lower value will generate more, and often shorter, tracks | |
Separation Factor (Cell Partition only) | 1 | 100 | Adjusts the sensitivity of the object separation operation; a lower value will preserve larger objects with multiple intensity peaks | |
Track Lineage Option | Not applicable | Specifies whether to track cell divisions for quantifying lineages | ||
Presets
There are two preset groups in the recipe: Detection and Tracking. Each group has three pre-configured parameter groupings to help you get started on the analysis. The default preset values are as follows:
Detection
Parameter Name | Low | Medium | High |
|---|---|---|---|
Background Flattening Factor | 50 | 60 | 63 |
Contrast Threshold | 185 | 120 | 70 |
Fill Holes Size | 50 px2 or µm2 | 500 px2 or µm2 | 1,000 px2 or µm2 |
Smoothing Factor | 1 | 2 | 4 |
Tracking
Parameter Name | Low | Medium | High |
|---|---|---|---|
Object Size | 1 - 250 px2 or µm2 | 50 - 1,000 px2 or µm2 | 150 - 6,000 px2 or µm2 |
Max Search Range | 20 px or µm | 20 px or µm | 20 px or µm |
Min Track Length | 8 | 8 | 8 |
Separation Factor | 50 | 70 | 85 |
Tutorial
Before beginning the tutorial, please download the Phase Cell Tracking Demo image. For information on how to select presets or modify parameter values, please refer to the tutorial on how to use the Recipe Console.
Unzip the demo file and load the demo image, “PhCellTrackDemo.tif,” into Aivia.
In the Recipe Console, click on the Recipe selection dropdown menu and select the Phase Cell Tracking recipe.
Select the Medium presets for both the Detection and Tracking preset groups.
Click the Start button or press the
F4key on your keyboard to begin applying the recipe to the image.
The detected object outlines and tracks will be overlaid on the image.
Results
Measurements
The Phase Cell Tracking recipe generates track measurements for each detected cell. You can add additional measurements to the analysis results with the Measurement Tool in Aivia and view measurement definitions on the Measurement Definitions page. The measurements generated by the recipe are given in the table below.
Morphology | Position |
|---|---|
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