2022
DOI: 10.1093/bioinformatics/btac700
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Convex hull as diagnostic tool in single-molecule localization microscopy

Abstract: Motivation Single-molecule localization microscopy resolves individual fluorophores or fluorescence-labeled biomolecules. Data is provided as a set of localizations that distribute normally around the true fluorophore position with a variance determined by the localization precision. Characterizing the spatial fluorophore distribution to differentiate between resolution-limited localization clusters, which resemble individual biomolecules, and extended structures, which represent aggregated m… Show more

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Cited by 5 publications
(4 citation statements)
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“…To study the distribution of plasma membrane ACE2 receptors, we used a density‐based spatial clustering of applications with noise (DBSCAN) algorithm with customized localization analysis (LOCAN) [30] . After selecting basal membrane regions that do not show folded membrane areas, repeated localizations were grouped using the DBSCAN algorithm with appropriate parameters to ensure each cluster represents an isolated receptor [31] . Under the applied experimental conditions, we localized each AF647 antibody on average 9.2±0.2 times.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To study the distribution of plasma membrane ACE2 receptors, we used a density‐based spatial clustering of applications with noise (DBSCAN) algorithm with customized localization analysis (LOCAN) [30] . After selecting basal membrane regions that do not show folded membrane areas, repeated localizations were grouped using the DBSCAN algorithm with appropriate parameters to ensure each cluster represents an isolated receptor [31] . Under the applied experimental conditions, we localized each AF647 antibody on average 9.2±0.2 times.…”
Section: Resultsmentioning
confidence: 99%
“…[30] After selecting basal membrane regions that do not show folded membrane areas, repeated localizations were grouped using the DBSCAN algorithm with appropriate parameters to ensure each cluster represents an isolated receptor. [31] Under the applied experimental conditions, we localized each AF647 antibody on average 9.2 � 0.2 times. Hence, each localization cluster with on average � 9 localizations corresponds to a labeled ACE2 receptor.…”
Section: Resultsmentioning
confidence: 99%
“…To study the distribution of plasma membrane ACE2 receptors, we used a density-based spatial clustering of applications with noise (DBSCAN) algorithm with customized localization analysis (LOCAN) 30 . After selecting basal membrane regions that do not show folded membrane areas, repeated localizations were grouped using the DBSCAN algorithm with appropriate parameters to ensure each cluster represents an isolated receptor 31 . The Ripley-h function confirms that localization clusters only occur on the length scale of the localization precision (Extended Data Fig.…”
Section: Imaging and Quantification Of Plasma Membrane Ace2 Receptors...mentioning
confidence: 99%
“…The analysis parameters were selected by checking the clustering approach on simulated data 38 . The overall density of CARs in the plasma membrane was low enough to yield well separated nearest neighbors for all plasma membranes investigated.…”
Section: Cars Form Nanodomains In the Plasma Membrane Of T Cellsmentioning
confidence: 99%