Evidence map›Paper›PMID 32460010›Full record

ArticleCell reports2020

Individual Control and Quantification of 3D Spheroids in a High-Density Microfluidic Droplet Array.

Raphaël F-X Tomasi, Sébastien Sart, Tiphaine Champetier, Charles N Baroud

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 113 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
  5. Advanced Microfluidics for Single Cell-Based Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Article
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  18. Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Raphaël F-X TomasiLadHyX and Department of Mechanics, Ecole Polytechnique, CNRS, 91128 Palaiseau, France; Physical Microfluidics and Bio-Engineering, Department of Genomes and Genetics, Institut Pasteur, 75015 Paris, France.
Sébastien SartLadHyX and Department of Mechanics, Ecole Polytechnique, CNRS, 91128 Palaiseau, France; Physical Microfluidics and Bio-Engineering, Department of Genomes and Genetics, Institut Pasteur, 75015 Paris, France.
Tiphaine ChampetierLadHyX and Department of Mechanics, Ecole Polytechnique, CNRS, 91128 Palaiseau, France.
Charles N BaroudLadHyX and Department of Mechanics, Ecole Polytechnique, CNRS, 91128 Palaiseau, France; Physical Microfluidics and Bio-Engineering, Department of Genomes and Genetics, Institut Pasteur, 75015 Paris, France. Electronic address: charles.baroud@pasteur.fr.
Centre National de la Recherche Scientifique · FRDepartment of Genomes & Genetics · FR

Funding

European Research Council 278248
6 · The paper itself

Abstract

As three-dimensional cell culture formats gain in popularity, there emerges a need for tools that produce vast amounts of data on individual cells within the spheroids or organoids. Here, we present a microfluidic platform that provides access to such data by parallelizing the manipulation of individual spheroids within anchored droplets. Different conditions can be applied in a single device by triggering the merging of new droplets with the spheroid-containing drops. This allows cell-cell interactions to be initiated for building microtissues, studying stem cells' self-organization, or observing antagonistic interactions. It also allows the spheroids' physical or chemical environment to be modulated, as we show by applying a drug over a large range of concentrations in a single parallelized experiment. This convergence of microfluidics and image acquisition leads to a data-driven approach that allows the heterogeneity of 3D culture behavior to be addressed across the scales, bridging single-cell measurements with population measurements.

Indexed as

HumansImaging, Three-DimensionalMicrofluidicsSpheroids, CellularTissue Engineeringdroplet microfluidicsliver toxicityorganoidsspheroidstissue engineering

Identifiers

PMID32460010
PMCPMC7262598
OpenAlexW3029618683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.