Jeff M. Byers

A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation

This paper introduces a self-supervised learning method for cell segmentation that outperforms Cellpose in accuracy and reduces reliance on labeled data and computational expertise.

A Self-Supervised Machine Learning Approach for Objective Live Cell Segmentation and Analysis

This paper introduces a self-supervised machine learning algorithm for automated live cell segmentation and analysis without user supervision or adjustable parameters.