ArticlePlant methods2019
3DCellAtlas Meristem: a tool for the global cellular annotation of shoot apical meristems.
Article in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Quantification of cell-type-specific plasmodesmata distribution in Arabidopsis roots reveals spatial and patterning dynamics.The Plant journal : for cell and molecular biology · 2026Article
- A Method to Visualize Cell Proliferation ofPlant direct · 2025Article
- Quantifying Gene Expression Domains in Plant Shoot Apical Meristems.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Graph metric learning quantifies morphological differences between two genotypes of shoot apical meristem cells inIn silico plants · 2023Article
- The annotation and analysis of complex 3D plant organs using 3DCoordX.Plant physiology · 2022Article
- A future in 3D: Analyzing morphology in all dimensions.Plant physiology · 2022Article
- Using positional information to provide context for biological image analysis with MorphoGraphX 2.0.eLife · 2022Article
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Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern imaging approaches enable the acquisition of 3D and 4D datasets capturing plant organ development at cellular resolution. Computational analyses of these data enable the digitization and analysis of individual cells. In order to fully harness the information encoded within these datasets, annotation of the cell types within organs may be performed. This enables data points to be placed within the context of their position and identity, and for equivalent cell types to be compared between samples. The shoot apical meristem (SAM) in plants is the apical stem cell niche from which all above ground organs are derived. We developed 3DCellAtlas Meristem which enables the complete cellular annotation of all cells within the SAM with up to 96% accuracy across all cell types in
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Registered trials
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