Monte Carlo simulations of triplet-state photophysics for super-resolution imaging of fluorophore-labeled gold nanorods

2015 ◽  
Author(s):  
Eric J. Titus ◽  
Karole L. Blythe ◽  
Katherine A. Willets
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Triplet State ◽  
Gold Nanorods ◽  
Super Resolution ◽  
Resolution Imaging

Triplet-State-Mediated Super-Resolution Imaging of Fluorophore-Labeled Gold Nanorods

ChemPhysChem ◽  
2013 ◽  
Vol 15 (4) ◽  
pp. 784-793 ◽  
Author(s):  
Karole L. Blythe ◽  
Eric J. Titus ◽  
Katherine A. Willets
Keyword(s):  
Triplet State ◽  
Gold Nanorods ◽  
Super Resolution ◽  
Resolution Imaging

scholarly journals Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo

2019 ◽  
Author(s):  
Mohamadreza Fazel ◽  
Michael J. Wester ◽  
Hanieh Mazloom-Farsibaf ◽  
Marjolein B. M. Meddens ◽  
Alexandra Eklund ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Single Molecule ◽  
Posterior Probability ◽  
Super Resolution ◽  
Image Data ◽  
Reversible Jump ◽  
Posterior Probability Distribution ◽  
Resolution Imaging

In single molecule localization-based super-resolution imaging, high labeling density or the desire for greater data collection speed can lead to clusters of overlapping emitter images in the raw super-resolution image data. We describe a Bayesian inference approach to multiple-emitter fitting that uses Reversible Jump Markov Chain Monte Carlo to identify and localize the emitters in dense regions of data. This formalism can take advantage of any prior information, such as emitter intensity and density. The output is both a posterior probability distribution of emitter locations that includes uncertainty in the number of emitters and the background structure, and a set of coordinates and uncertainties from the most probable model.

scholarly journals Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Mohamadreza Fazel ◽  
Michael J. Wester ◽  
Hanieh Mazloom-Farsibaf ◽  
Marjolein B. M. Meddens ◽  
Alexandra S. Eklund ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Single Molecule ◽  
Posterior Probability ◽  
Super Resolution ◽  
Image Data ◽  
Reversible Jump ◽  
Posterior Probability Distribution ◽  
Resolution Imaging

Abstract In single molecule localization-based super-resolution imaging, high labeling density or the desire for greater data collection speed can lead to clusters of overlapping emitter images in the raw super-resolution image data. We describe a Bayesian inference approach to multiple-emitter fitting that uses Reversible Jump Markov Chain Monte Carlo to identify and localize the emitters in dense regions of data. This formalism can take advantage of any prior information, such as emitter intensity and density. The output is both a posterior probability distribution of emitter locations that includes uncertainty in the number of emitters and the background structure, and a set of coordinates and uncertainties from the most probable model.

scholarly journals On the impact of competing intra- and intermolecular triplet-state quenching on photobleaching and photoswitching kinetics of organic fluorophores

2019 ◽  
Vol 21 (7) ◽  
pp. 3721-3733 ◽  
Author(s):  
Jochem H. Smit ◽  
Jasper H. M. van der Velde ◽  
Jingyi Huang ◽  
Vanessa Trauschke ◽  
Sarah S. Henrikus ◽  
...  
Keyword(s):  
Triplet State ◽  
Single Molecule ◽  
Photophysical Properties ◽  
Super Resolution ◽  
Organic Fluorophores ◽  
Resolution Imaging ◽  
The Impact ◽  
Kinetics Of

How photostabilizer molecules influence the photophysical properties of various organic fluorophores used for single-molecule and super-resolution imaging.

Redefining the photo-stability of common fluorophores with triplet state quenchers: mechanistic insights and recent updates

2019 ◽  
Vol 55 (60) ◽  
pp. 8695-8704 ◽  
Author(s):  
Wanjun Gong ◽  
Pintu Das ◽  
Soham Samanta ◽  
Jia Xiong ◽  
Wenhui Pan ◽  
...  
Keyword(s):  
Triplet State ◽  
Super Resolution ◽  
Resolution Imaging ◽  
Photo Stability

Various strategies for TSQ-induced fluorophore stabilization and their application in sm-FRET as well as in super-resolution imaging microscopy are thoroughly reviewed.

Low-voltage EDS of magnesium ferrite Dendrites in a FEG-SEM

1996 ◽  
Vol 54 ◽  
pp. 478-479
Author(s):  
Matthew T. Johnson ◽  
Ian M. Anderson ◽  
Jim Bentley ◽  
C. Barry Carter
Keyword(s):  
Monte Carlo ◽  
Quantitative Analysis ◽  
Monte Carlo Simulations ◽  
Cross Section ◽  
Spatial Resolution ◽  
Low Voltage ◽  
Magnesium Ferrite ◽  
X Ray ◽  
Interaction Volume ◽  
Ferrite Spinel

Energy-dispersive X-ray spectrometry (EDS) performed at low (≤ 5 kV) accelerating voltages in the SEM has the potential for providing quantitative microanalytical information with a spatial resolution of ∼100 nm. In the present work, EDS analyses were performed on magnesium ferrite spinel [(MgxFe1−x)Fe2O4] dendrites embedded in a MgO matrix, as shown in Fig. 1. spatial resolution of X-ray microanalysis at conventional accelerating voltages is insufficient for the quantitative analysis of these dendrites, which have widths of the order of a few hundred nanometers, without deconvolution of contributions from the MgO matrix. However, Monte Carlo simulations indicate that the interaction volume for MgFe2O4 is ∼150 nm at 3 kV accelerating voltage and therefore sufficient to analyze the dendrites without matrix contributions.Single-crystal {001}-oriented MgO was reacted with hematite (Fe2O3) powder for 6 h at 1450°C in air and furnace cooled. The specimen was then cleaved to expose a clean cross-section suitable for microanalysis.

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