High Content Screening
This tutorial workflow shows a High-content screening workflow. Of course parameters and methods have to be adjusted for your problem, but this is a good starting point.
This tutorial workflow shows a High-content screening workflow. Of course parameters and methods have to be adjusted for your problem, but this is a good starting point.
This tutorial workflow demonstrates how to follow a bouncing ball in a video. This means we first segment the ball using difference images and afterwards detect and track the ball.
This tutorial workflow shows a segmentation workflow for labeling a yeast colony.
This tutorial workflow demonstrates how to count the number of chromosomes.
This tutorial workflow shows a simple larva segmentation and tracking. Of course parameters and methods have to be adjusted for your problem, but this is a good starting point.
This tutorial workflow demonstrates how to count the number of cars driving on a street, given a recording of the street.
This tutorial workflow shows a simple tracking application using the Trackmate Tracker Node.
This workflow demonstrates a statistical intensity measurement of a cell segmentation.
With this workflow we create a gradient magnitude image. The gradient magnitude image has bright pixel values if in the original image was a significant change of the gray-level between some neighbouring pixels.
Find local maxima in the image that may be seeds for a segmentation.