Optimal Transport Advances End-to-End Learning in Single-Molecule Localization
Published:Dec 11, 2025 14:30
•1 min read
•ArXiv
Analysis
This ArXiv article presents a novel application of optimal transport theory to improve single-molecule localization microscopy. The approach likely enhances the accuracy and efficiency of analyzing biological data, potentially leading to new discoveries.
Key Takeaways
Reference
“The article's focus is on end-to-end learning within the context of single-molecule localization.”