Summary of ssbd-repos-000236

Name
URL
DOI

Title
Cell membrane images, restored images, and segmentation results of 52 C. elegans embryos.
Description

We performed 3D timelapse imaging of 52 embryos, in which the cell membrane is labeled with green fluorescent protein (GFP), for two hours from the two-cell stage. An image restoration method based on deep learning was applied to improve the image quality. An image processing method called BCOMS (Biologically Constrained Optimization-based cell Membrane Segmentation) was applied and the cellular regions were segmented.

Submited Date
2022-06-15
Release Date
2022-06-30
Updated Date
2026-06-19
Errata
2026-06-19 Added Nucleus_image
License
Funding information
-
File formats
TIFF
Data size
273.7 GB

Organism
Caenorhabditis elegans
Strain
OD95
Cell Line
NA
Genes
-
Proteins
-

GO Molecular Function (MF)
NA
GO Biological Process (BP)
Developmental process
GO Cellular Component (CC)
Cell membrane
Study Type
Quantitative analysis of cell morphodynamics
Imaging Methods
Spinning disk confocal microscopy

Method Summary

Image processing, deep learning

Related paper(s)

Contact(s)
Shuichi Onami
Organization(s)
RIKEN Center for Biosystems Dynamics Research , Laboratory for Developmental Dynamics
Image Data Contributors
Hatsumi Okada
Quantitative Data Contributors
Yusuke Azuma

Bundles
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    Files
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