ArticleNature methods2022
Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification.
Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 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
67 citing papers in PubMed.
- Engineering human multi-organ tissue chip niches for drug absorption, distribution, metabolism, excretion and toxicity prediction.Nature biomedical engineering · 2026Review
- Quantitative imaging of dynamic processes in intestinal organoids.Nature protocols · 2026Review
- From pixels to patterns: the AI revolution in stem cell-derived models.Nature methods · 2026Review
- Review
- Identifying phenotype-genotype-function coupling in 3D organoid imaging using Shape, Appearance and Motion Phenotype Observation Tool (SPOT).Nature communications · 2026Article
- Symmetric cancer spheroid-fibroblast organization revealed in 3D by high-throughput microscopy.Communications biology · 2026Article
- From microtissues to macro solutions - The future of scalable and automated cartilage tissue engineering.Journal of orthopaedic translation · 2026Review
- Organoid technology in cancer research.Molecular biomedicine · 2026Review
- A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales.eLife · 2026Article
- Image Tracing of Inflammatory Intestinal Organoids via Computational Clearing.Nanomaterials (Basel, Switzerland) · 2026Article
- Human organoids as 3D in vitro platforms for drug discovery: opportunities and challenges.Nature reviews. Drug discovery · 2026Review
- From organoid culture to manufacturing: technologies for reproducible and scalable organoid production.npj biomedical innovations · 2026Review
- High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.Communications biology · 2026Article
- Non-Destructively Quantifying the Whole-Course Growth and Drug-Response of PDOs by an Automatic Microfluidic System Utilizing Chemiluminescence Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Modeling Alzheimer's disease with brain organoids: mechanisms, applications, and future directions.Frontiers in cell and developmental biology · 2026Review
- Artificial Intelligence-Aided Microfluidic Cell Culture Systems.Biosensors · 2025Review
- Fast volumetric fluorescence lifetime imaging of multicellular systems using single-objective light-sheet microscopy.Communications biology · 2025Article
- A microfluidic platform for culturing and high-content imaging of adult stem cell-derived organoids.Scientific reports · 2025Article
- High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.bioRxiv : the preprint server for biology · 2025Article
- HCS-3DX, a next-generation AI-driven automated 3D-oid high-content screening system.Nature communications · 2025Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current imaging approaches limit the ability to perform multi-scale characterization of three-dimensional (3D) organotypic cultures (organoids) in large numbers. Here, we present an automated multi-scale 3D imaging platform synergizing high-density organoid cultures with rapid and live 3D single-objective light-sheet imaging. It is composed of disposable microfabricated organoid culture chips, termed JeWells, with embedded optical components and a laser beam-steering unit coupled to a commercial inverted microscope. It permits streamlining organoid culture and high-content 3D imaging on a single user-friendly instrument with minimal manipulations and a throughput of 300 organoids per hour. We demonstrate that the large number of 3D stacks that can be collected via our platform allows training deep learning-based algorithms to quantify morphogenetic organizations of organoids at multi-scales, ranging from the subcellular scale to the whole organoid level. We validated the versatility and robustness of our approach on intestine, hepatic, neuroectoderm organoids and oncospheres.
Indexed as
Identifiers
35697835What 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.