ArticleNature communications2019
MorphoNet: an interactive online morphological browser to explore complex multi-scale data.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Article
- Article
- F-BIAS: Towards a distributed national core facility for bioimage analysis.PLoS computational biology · 2025Article
- Deciphering the interplay between biology and physics with a finite element method-implemented vertex organoid model: A tool for the mechanical analysis of cell behavior on a spherical organoid shell.PLoS computational biology · 2025Article
- Ascidian embryonic cells with properties of neural-crest cells and neuromesodermal progenitors of vertebrates.Nature ecology & evolution · 2024Article
- 3D revisualization: a new method to revisit segmented data.Royal Society open science · 2024Article
- End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN.Frontiers in bioinformatics · 2024Article
- A Hands-On Guide to Generate Spatial Gene Expression Profiles by Integrating scRNA-seq and 3D-Reconstructed Microscope-Based Plant Structures.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Immersive and interactive visualization of 3D spatio-temporal data using a space time hypercube: Application to cell division and morphogenesis analysis.Frontiers in bioinformatics · 2023Article
- Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets.PLoS computational biology · 2022Review
- The impacts of fine-tuning, phylogenetic distance, and sample size on big-data bioacoustics.PloS one · 2022Article
- Methods for the Study of Apical Constriction During Ascidian Gastrulation.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Challenges of intracellular visualization using virtual and augmented reality.Frontiers in bioinformatics · 2022Article
- CeLaVi: an interactive cell lineage visualization tool.Nucleic acids research · 2021Article
- A multiscale analysis of early flower development in Arabidopsis provides an integrated view of molecular regulation and growth control.Developmental cell · 2021Article
- Sexual and asexual development: two distinct programs producing the same tunicate.Cell reports · 2021Article
- Developmental Table and Three-Dimensional Embryological Image Resource of the AscidianFrontiers in cell and developmental biology · 2021Article
- Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation.Nature communications · 2020Article
- From whole-mount to single-cell spatial assessment of gene expression in 3D.Communications biology · 2020Review
- ANISEED 2019: 4D exploration of genetic data for an extended range of tunicates.Nucleic acids research · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Powerful novel imaging and image-processing methods are revolutionizing many fields of biology, at scales ranging from the molecule to the functional organ. To support this big-data revolution, we develop a concept of generic web-based morphodynamic browser to interactively visualize complex image datasets, with applications in research and education. MorphoNet handles a broad range of natural or simulated morphological data, onto which quantitative geometric or genetic data can be projected.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.