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CellSium: versatile cell simulator for microcolony ground truth generation
SUMMARY: To train deep learning-based segmentation models, large ground truth datasets 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 m...
Autores principales: | Sachs, Christian Carsten, Ruzaeva, Karina, Seiffarth, Johannes, Wiechert, Wolfgang, Berkels, Benjamin, Nöh, Katharina |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710621/ https://www.ncbi.nlm.nih.gov/pubmed/36699390 http://dx.doi.org/10.1093/bioadv/vbac053 |
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