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Rick Seifert

dblp:340/3251 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
0009-0003-9513-1336ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioimage informatics › bioimage analysis › microscopy image analysis
single-molecule localization microscopy
0.612022
Convex hull as diagnostic tool in single-molecule localization microscopy · Bioinform. 2022

Methods — techniques the papers use, named apart from their topics

convex hull computation · 0.6
YearPublicationVenuePosition
2022 Convex hull as diagnostic tool in single-molecule localization microscopy
abstract
MOTIVATION: Single-molecule localization microscopy resolves individual fluorophores or fluorescence-labeled biomolecules. Data are 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 molecular complexes, is a common challenge. RESULTS: We demonstrate the use of the convex hull and related hull properties of localization clusters for diagnostic purposes, as a parameter for cluster selection or as a tool to determine localization precision. AVAILABILITY AND IMPLEMENTATION: https://github.com/super-resolution/Ebert-et-al-2022-supplement. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Vincent Ebert, Patrick Eiring, Dominic A. Helmerich, Rick Seifert, Markus Sauer, Sören Doose
Bioinform.4