A deep learning approach to neurite prediction in high throughput fluorescence imaging
Mariya Barch, Melanie M. Cobb, Zachary Tokuno, Jen Leddy, Keili Prenton, Linus Manubens-Gil, Nicole Bellini, Stephanie Lam, Julia Kaye, Mara Dierssen, Steven M. Finkbeiner
The paper develops a deep learning algorithm to predict neurite structure and length in fluorescence imaging, achieving near-human accuracy and efficiency for large datasets.
bioRxiv · Apr 23, 2021 · PreprintNeuroscience