2020/10/26 by Quentin Denoyelle, Thanh-an Pham, Denoyelle, Quentin +7
Biochemistry, Genetics and Molecular Biology · Medicine · #49Q22 #90C08 #92C55 #94A12 #Advanced Electron Microscopy Techniques and Applications #Advanced Fluorescence Microscopy Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #I.4 #I.m #Image and Video Processing (eess.IV) #J.2 #J.3 #Lymphoma Diagnosis and Treatment #Machine Learning (cs.LG) #Optics (physics.optics) #Optimization and Control (math.OC) #Single-cell and spatial transcriptomics #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2010.13423
openalex publication_date 2020/10/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose the use of Flat Metric to assess the performance of reconstruction methods for single-molecule localization microscopy (SMLM) in scenarios where the ground-truth is available. Flat Metric is intimately related to the concept of optimal transport between measures of different mass, providing solid mathematical foundations for SMLM evaluation and integrating both localization and detection performance. In this paper, we provide the foundations of Flat Metric and validate this measure by applying it to controlled synthetic examples and to data from the SMLM 2016 Challenge.