/Validation

From 2008.igem.org

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(New page: {{Imperial/StartPage2}} = Validating Tracking Software = ImageJ was used primarily to analyse images. Various plugins were tested, such as SpotTracker and Particle Tracker, but both faile...)
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|'''Error in Y Coordinate'''
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|Mean = 1.7354, Standard Deviation = 1.7187
|Mean = 1.7354, Standard Deviation = 1.7187
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|'''Error in Distance'''
|'''Error in Distance'''
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|Mean = -0.0022, Standard Deviation = 1.0002
|Mean = -0.0022, Standard Deviation = 1.0002
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|[[Image:Volocity X Error.tif|300px]]  
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|Mean = -1.7149, Standard Deviation = 0.1376
|Mean = -1.7149, Standard Deviation = 0.1376
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|'''Error in Distance'''
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|[[Image:Volocity X Displacement Error.tif‎|300px]]
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|Mean = 8.2732e-005, Standard Deviation = 0.1111
|Mean = 8.2732e-005, Standard Deviation = 0.1111

Revision as of 17:30, 28 October 2008


Validating Tracking Software

ImageJ was used primarily to analyse images. Various plugins were tested, such as SpotTracker and Particle Tracker, but both failed to producing any form of convincing result. Microscopy videos were captured using Volocity software, which also provided a cell tracking function. Thus analysis of synthetic videos was done manually and using 64-Bit Volocity analysis software. The synthetic video shown to the right was used as an input for the tracking of synthetic cells.

Volocity

Volocity 64-Bit was used to analyse synthetic videos created. The following protocol was followed:

  1. Filter images using SD intensity of lower limit -100 and upper limit -35. This is to select cells which have a dark cell body.
  2. Set tracking method to trajectory variation
  3. Check the box "Ignore Stationary Objects" to disable tracking of the image border
  4. Set displacement estimation to automatic
  5. Begin tracking using Ctrl-U

Manual Tracking

Synthetic cells were tracked using ImageJ via the Manual Tracking Plugin. The following protocol was followed:

  1. Save .avi movie as an image sequence and then import image sequence.
  2. Start Manual Tracking Plugin.
  3. Identify the cell of interest and start new track.
  4. Click on the centroid of the cell of interest. This will cause the image to advance to the next frame. Continue till the cell exits field of view
  5. Once tracking is complete, end track and save results with a .xls extension.

Validation Process

A synthetic video of five cells with changing shape was used in the evaluation of tracking software. Each cell was tracked using respective tracking software, and their coordinates in pixels were obtained.

The following steps were taken to analyse tracking data:

  1. Convert synthetic trajectory coordinate points into pixels.
  2. Calculate the displacement in each frame for both synthetic and tracking data
  3. Calculate the distance travelled in each frame for both synthetic and tracking data
  4. Obtain the errors in coordinates, displacement and distance travelled by the cell

The errors associated with manual tracking and Volocity software are shown below. All errors are given in terms of pixels.

Manual Tracking

Error in X Coordinate Error in Y Coordinate
300px 300px
Mean = 1.7354, Standard Deviation = 1.7187 Mean = 1.2524, Standard Deviation = 1.0568
Error in X Displacement Error in Y Displacement Error in Distance
300px 300px 300px
Mean = -0.0022, Standard Deviation = 1.0002 Mean = -0.0018, Standard Deviation = 0.6795 Mean = -0.1506, Standard Deviation = 0.9196

Volocity

Error in X Coordinate Error in Y Coordinate
300px 300px
Mean = -1.7149, Standard Deviation = 0.1376 Mean = -0.4907, Standard Deviation = 0.1614
Error in X Displacement Error in Y Displacement Error in Distance
300px 300px 300px
Mean = 8.2732e-005, Standard Deviation = 0.1111 Mean = 6.1416e-004, Standard Deviation = 0.0712 Mean = 1.4262e-004, Standard Deviation = 0.0947

Evaluation

Volocity Manual Tracking
Pros Lower error in terms of tracking centroid than other tracking software.
Less time consuming. 		Able to discern cells visually.
Able track over larger number of frames.
Cons Failure to track cells continuously over a long number of frames > 70.
Biased to cells which run, rather than tumble.
Failure to discern motile from immotile or dead cells. 		Time consuming.
Higher error in terms of tracking centroid as compared to tracking software.

Conclusion

  • Manual tracking will be used to track B. subtilis.

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