A minimax testing perspective on spatial statistical resolution in microscopy

DOI10.1007/978-3-031-30114-8_14OpenAlexW4384464511MaRDI QIDQ6200196

Gytis Kulaitis, Frank Werner, Axel Munk

Publication date: 22 March 2024

Published in: Foundations of Modern Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-30114-8_14

zbMATH Keywords

minimaxdetection boundarybinomial regressionequivalence of experimentsmicroscopy(super)resolutionnanoscopy

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• The Le Cam distance between density estimation, Poisson processes and Gaussian white noise
• What is resolution? A statistical minimax testing perspective on superresolution microscopy
• Statistical multiresolution estimation for variational imaging: with an application in Poisson-biophotonics
• Inverse problems with Poisson data: statistical regularization theory, applications and algorithms
• Statistical Angular Resolution Limit for Point Sources
• The detection and resolution of optical signals
• Testing Statistical Hypotheses
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