ArticleScientific reports2016
Atlas Toolkit: Fast registration of 3D morphological datasets in the absence of landmarks.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- TheDevelopment (Cambridge, England) · 2020Article
- Multimodal assessments of Zika virus immune pathophysiological responses in marmosets.Scientific reports · 2018Article
- The Early Stages of Heart Development: Insights from Chicken Embryos.Journal of cardiovascular development and disease · 2016Review
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Authors and funding
3 authors.
Funding
Abstract
Image registration is a gateway technology for Developmental Systems Biology, enabling computational analysis of related datasets within a shared coordinate system. Many registration tools rely on landmarks to ensure that datasets are correctly aligned; yet suitable landmarks are not present in many datasets. Atlas Toolkit is a Fiji/ImageJ plugin collection offering elastic group-wise registration of 3D morphological datasets, guided by segmentation of the interesting morphology. We demonstrate the method by combinatorial mapping of cell signalling events in the developing eyes of chick embryos, and use the integrated datasets to predictively enumerate Gene Regulatory Network states.
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Registered trials
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