Evidence map›Paper›PMID 41727361›Full record

ArticleACS measurement science au2026

Cell Invasion Analysis of Tumor Spheroids Using 2D Image Data.

Matěj Přikryl, Andrea Rousová, Ivana Acimovic, Petr Vaňhara, Lukáš Jan, Petr Beneš, Jan Šmarda, Michal Kozubek, Karel Štěpka, Jarmila Navrátilová

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Beyond monolayers: a comparative analysis of 2D cell cultures and 3DFrontiers in bioengineering and biotechnology · 2026
    Review
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

10 authors.

Matěj PřikrylDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno 625 00, Czech Republic.
Andrea RousováDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno 625 00, Czech Republic.
Ivana AcimovicDepartment of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno 625 00, Czech Republic.
Petr VaňharaDepartment of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno 625 00, Czech Republic.ORCID https://orcid.org/0000-0002-7470-177X
Lukáš JanDepartment of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno 625 00, Czech Republic.
Petr BenešDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno 625 00, Czech Republic.ORCID https://orcid.org/0000-0002-8297-9675
Jan ŠmardaDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno 625 00, Czech Republic.
Michal KozubekCentre for Biomedical Image Analysis, Department of Visual Computing, Faculty of Informatics, Masaryk University, Brno 602 00, Czech Republic.
Karel ŠtěpkaCentre for Biomedical Image Analysis, Department of Visual Computing, Faculty of Informatics, Masaryk University, Brno 602 00, Czech Republic.
Jarmila NavrátilováDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno 625 00, Czech Republic.ORCID https://orcid.org/0000-0002-3329-3108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic disease is the most severe complication in oncological patients. The quantification of cellular invasion into the surrounding tissue is crucial for the identification of strategies to suppress this process. Extracellular matrix-embedded 3D cancer models, such as spheroids and organoids, are commonly used to mimic tumor progression under

Indexed as

3D modelsfluorescenceimage analysisinvasionobject detectionsoftware toolspheroids

Identifiers

PMID41727361
PMCPMC12921606

What OpenQuestion holds

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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.