Abstract
We modified a previously reported Computer Assisted Sperm Analysis (CASA) plugin for Image-J to enable analyzing sperm cells in microfluidic environments. An image processing pipeline was built for object detection and particle tracking was improved. New parameters were introduced to allow studying new aspects of sperm motion behavior such as rheotaxis and wall tracking. A preliminary study using this tool agreed well with previously reported studies on rheotaxis and wall tracking behavior of sperm.
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