Home > Publications database > ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud > print |
001 | 917518 | ||
005 | 20230713124836.0 | ||
024 | 7 | _ | |2 doi |a 10.1101/2022.08.01.502297 |
024 | 7 | _ | |2 Handle |a 2128/33787 |
037 | _ | _ | |a FZJ-2023-00731 |
100 | 1 | _ | |0 P:(DE-Juel1)176923 |a Seiffarth, Johannes |b 0 |u fzj |
245 | _ | _ | |a ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud |
260 | _ | _ | |c 2022 |
336 | 7 | _ | |0 PUB:(DE-HGF)25 |2 PUB:(DE-HGF) |a Preprint |b preprint |m preprint |s 1674738484_20257 |
336 | 7 | _ | |2 ORCID |a WORKING_PAPER |
336 | 7 | _ | |0 28 |2 EndNote |a Electronic Article |
336 | 7 | _ | |2 DRIVER |a preprint |
336 | 7 | _ | |2 BibTeX |a ARTICLE |
336 | 7 | _ | |2 DataCite |a Output Types/Working Paper |
520 | _ | _ | |a Reliable deep learning segmentation for microfluidic live-cell imaging requires comprehensive ground truth data. ObiWan-Microbi is a microservice platform combining the strength of state-of-the-art technologies into a unique integrated workflow for data management and efficient ground truth generation for instance segmentation, empowering collaborative semi-automated image annotation in the cloud. |
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588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |0 0000-0001-8755-2825 |a Scherr, Tim |b 1 |
700 | 1 | _ | |0 P:(DE-Juel1)174568 |a Wollenhaupt, Bastian |b 2 |u fzj |
700 | 1 | _ | |0 P:(DE-HGF)0 |a Neumann, Oliver |b 3 |
700 | 1 | _ | |0 P:(DE-Juel1)129394 |a Scharr, Hanno |b 4 |
700 | 1 | _ | |0 P:(DE-Juel1)140195 |a Kohlheyer, Dietrich |b 5 |
700 | 1 | _ | |0 0000-0001-9100-5496 |a Mikut, Ralf |b 6 |
700 | 1 | _ | |0 P:(DE-Juel1)129051 |a Nöh, Katharina |b 7 |e Corresponding author |
773 | _ | _ | |a 10.1101/2022.08.01.502297 |p 4 |t bioRxiv |y 2022 |
856 | 4 | _ | |u https://www.biorxiv.org/content/10.1101/2022.08.01.502297v1.abstract |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/917518/files/2022.08.01.502297.full.pdf |y OpenAccess |
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914 | 1 | _ | |y 2022 |
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980 | _ | _ | |a UNRESTRICTED |
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