Optimized localization-analysis for single-molecule tracking and super-resolution microscopy
By K. I. Mortensen, L. S. Churchman, James A. Spudich, Henrik Flyvbjerg. Nature Methods, 2010
845 citations recorded by the source corpus.
We optimally localized isolated fluorescent beads and molecules imaged as diffraction-limited spots, determined the orientation of molecules and present reliable formulas for the precision of various localization methods. Both theory and experimental data showed that unweighted least-squares fitting of a Gaussian squanders one-third of the available information, a popular formula for its precision exaggerates beyond Fisher's information limit, and weighted least-squares may do worse, whereas maximum-likelihood fitting is practically optimal.
Subfields: Biomedical Engineering, Biophysics, Media Technology
View Paper: https://www.semanticscholar.org/paper/ab69d864a0ff819c883ba52b12546ce808d958a2
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Citations in the corpus
- Fluorophore localization algorithms for super-resolution microscopy (2014, methodology): “Tools are available to implement those models in MLE 53,72 as well as LS 73 .”
- Subdiffraction incoherent optical imaging via spatial-mode demultiplexing (2016, background): “Many open problems remain, such as extensions for more general PSFs, more complex objects, and threedimensional imaging, the effect of excess statistical and systematic errors, such as dark counts, aberrations, turbulence, and nonparaxial effects [56], the application of more advanced Bayesian or mi”
- Evaluation of fluorophores for optimal performance in localization-based super-resolution imaging (2011, neutral): “Maximum-likelihood estimator fitting of fluorophore positions could also be used 53,54 .”