Demo Data from VLDB 2026 / reviewers in the wild / expert
Stefan Leupold
dblp:77/3623
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioimage informatics
bioimage analysis |
0.1 | 1 | 2012 | TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy movies · Bioinform. 2012 |
Bioinformatics and computational biology › bioimage informatics › bioimage analysis › microscopy image analysis
cell segmentation and tracking |
0.1 | 1 | 2012 | TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy movies · Bioinform. 2012 |
Bioinformatics and computational biology
systems biology |
0.0 | 1 | 2012 | TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy movies · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
graphical user interface · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy moviesabstractMOTIVATION: Time-lapse imaging in combination with fluorescence microscopy techniques enable the investigation of gene regulatory circuits and uncovered phenomena like culture heterogeneity. In this context, computational image processing for the analysis of single cell behaviour plays an increasing role in systems biology and mathematical modelling approaches. Consequently, we developed a software package with graphical user interface for the analysis of single bacterial cell behaviour. RESULTS: A new software called TLM-Tracker allows for the flexible and user-friendly interpretation for the segmentation, tracking and lineage analysis of microbial cells in time-lapse movies. AVAILABILITY: The software package, including manual, tutorial video and examples, is available as Matlab code or executable binaries at http://www.tlmtracker.tu-bs.de. Stefan Leupold, Ilona Biegler, Rebekka Biedendieck, Richard Münch, Dieter Jahn |
Bioinform. | 2 |