NesSys: a novel method for accurate nuclear segmentation in 3D

Guillaume Blin (Creator)
Daina Sadurska (Creator)
Rosa Portero Migueles (Creator)
Naiming Chen (Creator)
Julia Watson (Creator)
Sally Lowell (Creator)

School of Biological Sciences
Centre for Regenerative Medicine
Edinburgh Neuroscience

Dataset

Description

We provide a user-friendly 3D editing tool to rapidly correct segmentation errors. We test our method alongside other previously-published user-friendly methods, with focus on mid-gestation embryos, 3D cultures of pluripotent stem cells and pluripotent stem cell-derived neural rosettes.

Date made available	17 Jun 2019
Publisher	IDR

Contact person

Guillaume Blin

DOI
10.17867/10000125

Access Dataset

https://framagit.org/pickcellslab/data/2019_nessys
https://github.com/IDR/idr0062-blin-nuclearsegmentation/blob/master/experimentA/idr0062-experimentA-annotation.csv

1 Article

Nessys: A new set of tools for the automated detection of nuclei within intact tissues and dense 3D cultures
Blin, G., Sadurska, D., Portero Migueles, M. R., Chen, N., Watson, J. & Lowell, S., 9 Aug 2019, In: PLoS Biology. 17, 8, 29 p., e3000388.
Research output: Contribution to journal › Article › peer-review

Open Access
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NesSys: a novel method for accurate nuclear segmentation in 3D

Description

Contact person

DOI

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Research output

Nessys: A new set of tools for the automated detection of nuclei within intact tissues and dense 3D cultures

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