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Updated: Jun 10, 2026
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Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution
Published on: June 6, 2019
Inference of Lineage-Resolved Cell Identities in Uncompressed C. elegans Embryos.
Miles P Tran1, Neil Peinado2, Zhongying Zhao3
1Bioinformatics Interdepartmental Program, University of California Los Angeles.
Micropublication Biology
|June 9, 2026
Summary
EmbAlign automates cell identification in C. elegans embryos using 3D registration. This framework accurately determines cell lineage from single snapshots, simplifying developmental biology research.
Area of Science:
- Developmental Biology
- Computational Biology
- Genetics
Background:
- Lineage-based cell identification in *C. elegans* traditionally requires extensive live imaging.
- Automated methods using spatiotemporal atlases are emerging for cell identification.
- Accurate lineage tracing is crucial for understanding embryonic development.
Purpose of the Study:
- To present EmbAlign, an automated 3D registration framework for lineage identification in *C. elegans* embryos.
- To enable lineage determination from single embryo snapshots, reducing the need for live imaging.
- To convert raw spatial data into lineage-aware datasets.
Main Methods:
- EmbAlign utilizes a spatiotemporal atlas to retrieve reference templates.
- An iterative Sinkhorn alignment procedure refines cell identity assignments.
- The framework robustly handles positional variability and arbitrary orientations in uncompressed embryos.
Main Results:
- EmbAlign achieves 96.9% accuracy in cell lineage identification up to the 190-cell stage.
- A diagnostic layer provides continuous scoring, with an AUPRC of 0.546.
- The method successfully converts spatial data into lineage-aware datasets.
Conclusions:
- EmbAlign offers an accurate and automated solution for *C. elegans* cell lineage identification.
- The framework simplifies developmental studies by enabling analysis from single embryo snapshots.
- EmbAlign advances computational approaches in developmental biology research.
