A semi-automated machine learning-aided approach to quantitative analysis of centrosomes and microtubule organization
D. G. Sankaran, B. Hariharan, C. G. Pearson
This paper develops a semi-automated machine learning tool to analyze centrosome and microtubule organization in breast cancer cells, finding that supernumerary centrosomes increase PCM size and MT density.
bioRxiv · Jan 3, 2020Cell Biology