001045534 001__ 1045534
001045534 005__ 20250821202242.0
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001045534 037__ $$aFZJ-2025-03537
001045534 1001_ $$00000-0001-8755-2825$$aScherr, Tim$$b0
001045534 245__ $$amicrobeSEG dataset
001045534 260__ $$bZenodo$$c2022
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001045534 520__ $$aB. subtilis and E. coli cell segmentation dataset consisting of test data annotated by three experts ( test ), data annotated manually by a single microbeSEG user within 30 minutes ( 30min-man ), data annotated manually by a single microbeSEG user within 30 minutes and data annotated with microbeSEG pre-labeling with 15 minutes manual correction time ( 30min-man_15min-pre , includes the 30min-man dataset). Images, instance segmentation masks and image-segmentation overlays are provided. All images are crops of size 320px x 320px. Annotations were made with ObiWan-Microbi . Data acquisition The phase contrast images of growing B. subtilis and E. coli colonies were acquired with a fully automated time-lapse microscope setup (TI Eclipse, Nikon, Germany) using a 100x oil immersion objective (Plan Apochromat λ Oil, N.A. 1.45, WD 170 µm, Nikon Microscopy). Time-lapse images were taken every 15 minutes for B. subtilis and every 20 minutes for E. coli . Cultivation took place inside a special microfluidic cultivation device. Resolution: 0.07μm/px for B. subtilis und 0.09μm/px for E. coli . microbeSEG import For the use with microbeSEG , create or select a new training set within the software and use the training data import functionality. Best import train data with the 'train' checkbox checked, validation data with the 'val' checkbox checked, and test data with the 'test' checkbox checked. Since the images are already normalized, the 'keep normalization' functionality can be used.
001045534 536__ $$0G:(DE-HGF)POF4-2171$$a2171 - Biological and environmental resources for sustainable use (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001045534 588__ $$aDataset connected to DataCite
001045534 650_7 $$2Other$$acell segmentation
001045534 650_7 $$2Other$$aomero
001045534 650_7 $$2Other$$amicrobeSEG
001045534 7001_ $$aSeiffarth, Johannes$$b1
001045534 7001_ $$aWollenhaupt, Bastian$$b2
001045534 7001_ $$00000-0003-4438-300X$$aNeumann, Oliver$$b3
001045534 7001_ $$00000-0001-7366-2134$$aSchilling, Marcel P.$$b4
001045534 7001_ $$0P:(DE-Juel1)140195$$aKohlheyer, Dietrich$$b5
001045534 7001_ $$0P:(DE-Juel1)129394$$aScharr, Hanno$$b6
001045534 7001_ $$0P:(DE-Juel1)129051$$aNöh, Katharina$$b7
001045534 7001_ $$00000-0001-9100-5496$$aMikut, Ralf$$b8
001045534 773__ $$a10.5281/ZENODO.6497714
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001045534 9201_ $$0I:(DE-Juel1)IBG-1-20101118$$kIBG-1$$lBiotechnologie$$x0
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