Published August 16, 2023 | Version 0.0.1
Workflow Restricted

Trained models for Xenopus segmentation and tracking workflow

Authors/Creators

  • 1. Kapoorlabs, University of Copenhagen

Description

Trained models for segmentation, cell shape and oneat used in Xenopus segmentation and tracking and track analysis workflow developed for Sedinzski Lab at the University of Copenhagen:

MASKUNET : Segments region containing Xenopus nuclei as a single binary region
Oneat: Classifies Xenopus nuclei into dividing and non dividing cells, the dividing cells are in anaphase.
StarDist3D: StarDist model for nuclei segmentation
Unet3D: Unet model for nuclei segmentation
CellPose: Cellpose model in 2D for Xenopus membrane segmentation in 3D
MembraneCloud: Sentinal model for cell shape quantification of Xenopus membrane
NucleiCloud: Senitnal model for cell shape quantification of Xenopus nuclei

Notes

Computational support provided by Jean Zay dynamic access grants : AD011013724R1, AD011013695R1, AD011013695R1, AD011013396R1, AD011013396R1

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

Requires an email address ending in sund.ku.dk

You are currently not logged in. Do you have an account? Log in here