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...

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Detalles Bibliográficos
Autores principales: Sachs, Christian Carsten, Ruzaeva, Karina, Seiffarth, Johannes, Wiechert, Wolfgang, Berkels, Benjamin, Nöh, Katharina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Application Note
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

Internet

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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