<p>(A) Labeled molecules centered at black stars are convolved by a Gaussian PSF with half-width σ = 2 in arbitrary units (AU) (red areas). In this example, the red areas represent the finite resolution of the measurement that could arise from multiple factors, including finite localization precision in a super-resolution fluorescence localization measurement or the finite size of labeling antibodies in an SEM measurement. Blue points are examples of signals detected with probability given by the intensity of the red area. Here the over counting ratio (OCR) is 3, meaning each labeled molecule is counted on average 3 times. (B) Red labeled molecules are confined within gray circular domains with an average radius of 25 AU, while green labele...
Single-Molecule Localization Microscopy is an optical imaging paradigm which provides computational ...
Single-molecule localization microscopy (SMLM) has revolutionized the field of cell biology. It allo...
<p><b>(A)</b> Hierarchical clustering resulting from our complete model. <b>(B)</b> Clustering resul...
<div><p>We present an analytical method using correlation functions to quantify clustering in super-...
We present an analytical method using correlation functions to quantify clustering in super-resoluti...
The advent of single-molecule localization microscopy (SMLM) revealed the nanoscopic domain of cellu...
<div><p>One major question in molecular biology is whether the spatial distribution of observed mole...
One major question in molecular biology is whether the spatial distribution of observed molecules is...
<p>(A) Representative cluster diameter measurement for a reference image with no repeat localization...
Molecular assembly in a complex cellular environment is vital for understanding underlying biologica...
We report a robust nonparametric descriptor, J'(r), for quantifying the density of clustering molecu...
<p>Clustering was based on the RMSD and the single linkage algorithm [<a href="http://www.plosone.or...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
Single Molecule Localization Microscopy techniques like PhotoActivated Localization Microscopy, with...
<p><b>A.</b> Scheme of the clusterization algorithm. (i) Red dots represent single-molecule localiza...
Single-Molecule Localization Microscopy is an optical imaging paradigm which provides computational ...
Single-molecule localization microscopy (SMLM) has revolutionized the field of cell biology. It allo...
<p><b>(A)</b> Hierarchical clustering resulting from our complete model. <b>(B)</b> Clustering resul...
<div><p>We present an analytical method using correlation functions to quantify clustering in super-...
We present an analytical method using correlation functions to quantify clustering in super-resoluti...
The advent of single-molecule localization microscopy (SMLM) revealed the nanoscopic domain of cellu...
<div><p>One major question in molecular biology is whether the spatial distribution of observed mole...
One major question in molecular biology is whether the spatial distribution of observed molecules is...
<p>(A) Representative cluster diameter measurement for a reference image with no repeat localization...
Molecular assembly in a complex cellular environment is vital for understanding underlying biologica...
We report a robust nonparametric descriptor, J'(r), for quantifying the density of clustering molecu...
<p>Clustering was based on the RMSD and the single linkage algorithm [<a href="http://www.plosone.or...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
Single Molecule Localization Microscopy techniques like PhotoActivated Localization Microscopy, with...
<p><b>A.</b> Scheme of the clusterization algorithm. (i) Red dots represent single-molecule localiza...
Single-Molecule Localization Microscopy is an optical imaging paradigm which provides computational ...
Single-molecule localization microscopy (SMLM) has revolutionized the field of cell biology. It allo...
<p><b>(A)</b> Hierarchical clustering resulting from our complete model. <b>(B)</b> Clustering resul...