ArticleeLife2020
An image-based data-driven analysis of cellular architecture in a developing tissue.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- DySTrack - a modular smart microscopy tool for live tracking of dynamic samples on modern commercial microscopes.Journal of cell science · 2026Article
- Automated Intelligent Microscopy for Phenotype Identification, Spatial Localization, and Retargeting of Cells.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Article
- A computational pipeline for spatial mechano-transcriptomics.Nature methods · 2025Article
- Systematic data analysis pipeline for quantitative morphological cell phenotyping.Computational and structural biotechnology journal · 2024Review
- Wide-field, high-resolution reconstruction in computational multi-aperture miniscope using a Fourier neural network.Optica · 2024Article
- Spherical harmonics analysis reveals cell shape-fate relationships in zebrafish lateral line neuromasts.Development (Cambridge, England) · 2024Article
- Comprehensive and quantitative analysis of intracellular structure polarization at the apical-basal axis in elongating Arabidopsis zygotes.Scientific reports · 2023Article
- Comparing the segmentation of quantitative phase images of neurons using convolutional neural networks trained on simulated and augmented imagery.Neurophotonics · 2023Article
- A role for the centrosome in regulating the rate of neuronal efferocytosis by microglia in vivo.eLife · 2022Article
- Dynamics ofProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Computational modeling and analysis of the morphogenetic domain signaling networks regulatingComputational and structural biotechnology journal · 2022Article
- Article
- Origami: Single-cell 3D shape dynamics oriented along the apico-basal axis of folding epithelia from fluorescence microscopy data.PLoS computational biology · 2021Article
- Article
- Data science in cell imaging.Journal of cell science · 2021Review
- Spatial frequency metrics for analysis of microscopic images of musculoskeletal tissues.Connective tissue research · 2021Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Quantitative microscopy is becoming increasingly crucial in efforts to disentangle the complexity of organogenesis, yet adoption of the potent new toolbox provided by modern data science has been slow, primarily because it is often not directly applicable to developmental imaging data. We tackle this issue with a newly developed algorithm that uses point cloud-based morphometry to unpack the rich information encoded in 3D image data into a straightforward numerical representation. This enabled us to employ data science tools, including machine learning, to analyze and integrate cell morphology, intracellular organization, gene expression and annotated contextual knowledge. We apply these techniques to construct and explore a quantitative atlas of cellular architecture for the zebrafish posterior lateral line primordium, an experimentally tractable model of complex self-organized organogenesis. In doing so, we are able to retrieve both previously established and novel biologically relevant patterns, demonstrating the potential of our data-driven approach.
Indexed as
Identifiers
What OpenQuestion holds
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.