A hidden Markov model approach to characterizing the photo-switching behavior of fluorophores

DOI10.1214/19-AOAS1240zbMath1433.62330OpenAlexW2980815417WikidataQ92616925 ScholiaQ92616925MaRDI QIDQ2281193

Yu Lin, Ricardo Henriques, Lekha Patel, Nils Gustafsson, Edward A. K. Cohen, Raimund J. Ober

Publication date: 19 December 2019

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1571277758

zbMATH Keywords

Markov processeshidden Markov modelsforward-backward algorithmrate estimationsuper-resolution microscopy

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Applications of statistics in engineering and industry; control charts (62P30) Markov processes: estimation; hidden Markov models (62M05)

Related Items

Semiparametric point process modeling of blinking artifacts in PALM ⋮ Statistical molecule counting in super-resolution fluorescence microscopy: towards quantitative nanoscopy ⋮ A hidden Markov model approach to characterizing the photo-switching behavior of fluorophores ⋮ Some perspectives on inference in high dimensions

Uses Software

• bootstrap

Cites Work

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