A stochastic analysis of distance estimation approaches in single molecule microscopy: quantifying the resolution limits of photon-limited imaging systems

DOI10.1007/s11045-012-0175-6zbMath1268.93138DBLPjournals/mssp/RamWO13OpenAlexW2044721742WikidataQ33741003 ScholiaQ33741003MaRDI QIDQ2393104

Sripad Ram, E. Sally Ward, Raimund J. Ober

Publication date: 7 August 2013

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-012-0175-6

zbMATH Keywords

Monte Carlo simulationsmaximum likelihood estimatormarked point processstochastic analysisCramer-Rao inequalityphoton statisticscellular scalesingular Fisher information matrixperformance boundssingle molecule microscopybiological processesfluorescence microscopyRayleigh's criteriondistance estimation approachesphoton-limited imaging systemsresolution limitstools of statistical estimation theory

Mathematics Subject Classification ID

Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10)

Related Items (3)

Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods ⋮ Mathematics of Electron Tomography ⋮ A hidden Markov model approach to characterizing the photo-switching behavior of fluorophores

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