Demo Data from EDBT 2026 / reviewers in the wild / expert
Vincent Ebert
dblp:340/3021
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0009-0002-3898-3033ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioimage informatics › bioimage analysis › microscopy image analysis
single-molecule localization microscopy |
0.6 | 1 | 2022 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Convex hull as diagnostic tool in single-molecule localization microscopyabstractMOTIVATION: 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. | 1 |