2022
DOI: 10.1016/j.bpj.2022.06.036
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Estimating the localization spread function of static single-molecule localization microscopy images

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Cited by 5 publications
(6 citation statements)
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“…Neurons were washed three times in PBS and stained with goat-anti-rabbit Alexa Fluor 647 Fab Fragment (1:800; Jackson ImmunoResearch 111-607-003) for an hour, washed three times with PBS, and imaged. Imaging and processing to determine localization and correct drift were conducted as previously described 99 . Samples were imaged in a buffer containing 100mM Tris, 25mM NaCl, 10% glucose, 1% bmercaptoethanol, 500 μg/ml glucose oxidase (Sigma) and 80 μg/ml catalase (Sigma).…”
Section: Dstorm Sample Preparation and Imagingmentioning
confidence: 99%
See 1 more Smart Citation
“…Neurons were washed three times in PBS and stained with goat-anti-rabbit Alexa Fluor 647 Fab Fragment (1:800; Jackson ImmunoResearch 111-607-003) for an hour, washed three times with PBS, and imaged. Imaging and processing to determine localization and correct drift were conducted as previously described 99 . Samples were imaged in a buffer containing 100mM Tris, 25mM NaCl, 10% glucose, 1% bmercaptoethanol, 500 μg/ml glucose oxidase (Sigma) and 80 μg/ml catalase (Sigma).…”
Section: Dstorm Sample Preparation and Imagingmentioning
confidence: 99%
“…Individual NPCs were segmented through a multi-step and fully automated process designed to identify objects of a particular size and aspect ratio while not biasing towards particles with distinct pores. First, an initial segmentation was conducted using a home-built implementation of DBSCAN 99,104 , with ε=40 nm and minPts = 25. The size of the major and minor axes of segmented objects were then determined by tabulating the eigenvalues of the covariance of x,y points with each segment.…”
Section: Npc Segmentation From Dstormmentioning
confidence: 99%
“…This can be accomplished using the MATLAB function spacetime_xcor() posted in the SMLM-analysis distribution. This base function includes an efficient code to tabulate the pairwise distances between localizations over time, adapted from [42] and described previously [41], as well as boundary conditions for arbitrary spatial ROIs and temporal windows, as described [34]. In some cases, long-range gradients in images can obscure results when an analysis of short-range correlations are desired.…”
Section: Methodsmentioning
confidence: 99%
“…Autocorrelation functions provide information on how labeled proteins move and how they selfassociate, while cross-correlation functions probe the colocalization of proteins, as well as the dynamics and effective energy of these associations [15,[28][29][30][31][32][33]. Pair-correlation methods can also be used as part of a general image processing pipeline to enhance or characterize SMLM datasets [34,35].…”
Section: Introductionmentioning
confidence: 99%
“…Sauer and colleagues recently summarized the three key factors determining image resolution in SMLM: i) localization precision (statistical scattering of the measured position coordinates), ii) localization accuracy (systematic deviation between the measured and true position) and iii) the labeling density ( Helmerich et al, 2022 ). The first of these factors has been the main focus of efforts for improving image resolution, via hardware, e.g., by combining improved structured illumination conditions with single-molecule detection ( Kalisvaart et al, 2022 ; Zhan et al, 2022 ), DNA-PAINT with STORM ( Cnossen et al, 2020 ), using cryo-SMLM and ad hoc software corrections ( Schneider et al, 2020 ; Hinterer et al, 2022 ), or via computational methods that enhance localization precision through engineering of the PSF or other approaches as applied to a single ( Shaw et al, 2022 ) ( Li M. et al, 2022 ) or multiple fluorophores (colocalization precision) ( Koyama-Honda et al, 2005 ; Donnert et al, 2007 ; Lemmer et al, 2009 ; Curthoys et al, 2013 ; Weisenburger et al, 2014 ; Georgieva et al, 2016 ; Willems and MacGillavry, 2022 ).…”
Section: Future Prospectsmentioning
confidence: 99%