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| 001 | 909145 | ||
| 005 | 20240311125731.0 | ||
| 024 | 7 | _ | |a 10.1093/bioadv/vbac053 |2 doi |
| 024 | 7 | _ | |a 2128/31666 |2 Handle |
| 024 | 7 | _ | |a 36699390 |2 pmid |
| 024 | 7 | _ | |a WOS:001153137500029 |2 WOS |
| 037 | _ | _ | |a FZJ-2022-03031 |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Sachs, Christian Carsten |0 P:(DE-Juel1)157870 |b 0 |
| 245 | _ | _ | |a CellSium – versatile cell simulator for microcolony ground truth generation |
| 260 | _ | _ | |a Oxford |c 2022 |b Oxford University Press |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1661168695_2172 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a Funding: - Deutsche Forschungsgemeinschaft [WI 1705/16-2], [491111487]- the President’s Initiative and Networking Funds of the Helmholtz Association of German Research Centres [SATOMI ZT-I-PF-04-011]- Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) |
| 520 | _ | _ | |a To train deep learning based segmentation models, large ground truth data sets are needed. To address this need in microfluidic live-cell imaging, we present CellSium, a flexibly configurable cell simulator built to synthesize realistic image sequences of bacterial microcolonies growing in monolayers. We illustrate that the simulated images are suitable for training neural networks. Synthetic time-lapse videos with and without fluorescence, using programmable cell growth models, and simulation-ready 3D colony geometries for computational fluid dynamics (CFD) are also supported. |
| 536 | _ | _ | |a 2172 - Utilization of renewable carbon and energy sources and engineering of ecosystem functions (POF4-217) |0 G:(DE-HGF)POF4-2172 |c POF4-217 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Ruzaeva, Karina |0 P:(DE-Juel1)180323 |b 1 |
| 700 | 1 | _ | |a Seiffarth, Johannes |0 P:(DE-Juel1)176923 |b 2 |
| 700 | 1 | _ | |a Wiechert, Wolfgang |0 P:(DE-Juel1)129076 |b 3 |
| 700 | 1 | _ | |a Berkels, Benjamin |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Nöh, Katharina |0 P:(DE-Juel1)129051 |b 5 |e Corresponding author |
| 773 | _ | _ | |a 10.1093/bioadv/vbac053 |g p. vbac053 |0 PERI:(DE-600)3076075-6 |n 1 |p vbac053 |t Bioinformatics advances |v 2 |y 2022 |x 2635-0041 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/909145/files/Invoice_E15493826.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/909145/files/vbac053.pdf |
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| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Erde und Umwelt |l Erde im Wandel – Unsere Zukunft nachhaltig gestalten |1 G:(DE-HGF)POF4-210 |0 G:(DE-HGF)POF4-217 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-200 |4 G:(DE-HGF)POF |v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten |9 G:(DE-HGF)POF4-2172 |x 0 |
| 914 | 1 | _ | |y 2022 |
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| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-22 |
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