Extracting deep learning based morphology segmentation footprint for boar sperm cells
Reliable delineation of the head and tail of swine spermatozoa supports automated assessment of boar semen quality, from morphometric measurement to the quality control of insemination doses. In practice this relies on fluorescent staining, which adds chemistry, cost, and delay to every acquisition and labels only the nucleus. Recent work coupling imaging flow cytometry with machine learning has…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
