Hybrid machine-learning framework for volumetric segmentation and quantification of vacuoles in individual unlabeled yeast cells using holotomography
m. lee, m. kunzi, G. NEUROHR, s. s. lee, Y. Park
This paper develops a hybrid machine-learning framework to segment and quantify vacuoles in unlabeled yeast cells using holotomography data.
bioRxiv · Jun 18, 2023Biophysics