Evidence map›Paper›PMID 42465036›Full record

ReviewFrontiers in cell and developmental biology2026

Advances in organoid imaging and automated morphometric analysis: from optical microscopy to computational approaches.

Anna V Zubova, Ivan V Simkin, Roman V Shumilin, Dmitry A Lifanov, Elizaveta S Perepelitsa, Mikhail S Sokolov, Nikita P Kryuchkov, Stanislav O Yurchenko, Alla B Salmina, Sergey N Illarioshkin

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anna V ZubovaBrain Science Institute, Russian Center of Neurology and Neurosciences, Moscow, Russia.
Ivan V SimkinBauman Moscow State Technical University, Moscow, Russia.
Roman V ShumilinBauman Moscow State Technical University, Moscow, Russia.
Dmitry A LifanovBrain Science Institute, Russian Center of Neurology and Neurosciences, Moscow, Russia.
Elizaveta S PerepelitsaBrain Science Institute, Russian Center of Neurology and Neurosciences, Moscow, Russia.
Mikhail S SokolovBauman Moscow State Technical University, Moscow, Russia.
Nikita P KryuchkovBauman Moscow State Technical University, Moscow, Russia.
Stanislav O YurchenkoBauman Moscow State Technical University, Moscow, Russia.
Alla B SalminaBrain Science Institute, Russian Center of Neurology and Neurosciences, Moscow, Russia.
Sergey N IllarioshkinBrain Science Institute, Russian Center of Neurology and Neurosciences, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers worldwide are increasingly interested in methods for reproducing organogenesis by culturing spheroids and organoids. Unlike spheroids, organoids are more closely related to organs in structure and functional activity. Due to the diversity of organoid production protocols and the lack of precise morphological criteria for standardizing these methods, there is a growing need to identify morphological features as significant distinguishing indicators of mature and functionally healthy organoids. Various semi- and automated programs have been developed to address these issues. This review examines programs for the morphometric analysis of spheroids and organoids. Most of these programs utilize images taken with a brightfield microscope and a confocal laser microscope.

Indexed as

3D-modelsmicroscopy methodsmorphometric post-processing of imagesorganoidssegmentation methodsspheroids

Identifiers

PMID42465036
PMCPMC13373125

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.