Evidence map›Paper›PMID 39833280›Full record

ArticleScientific reports2025

Long-term tracking of neural and oligodendroglial development in large-scale human cerebral organoids by noninvasive volumetric imaging.

Sangjun Park, Cheol Hong Min, Eunjin Choi, Jeong-Sun Choi, Kyungjin Park, Seokyoung Han, Wonjun Choi, Hyun-Jong Jang, Kyung-Ok Cho, Moonseok Kim

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. 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.

Sangjun Park *Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Cheol Hong Min *Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Eunjin Choi *Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Jeong-Sun Choi *Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Kyungjin ParkDepartment of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Seokyoung HanDepartment of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Wonjun ChoiPark Systems Corp, Suwon, 16229, Gyeonggi-do, Korea.
Hyun-Jong JangDepartment of Medical Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Kyung-Ok ChoDepartment of Medical Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea. kocho@catholic.ac.kr.
Moonseok KimDepartment of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea. moonseok@catholic.ac.kr.

Funding

Catholic Education Foundation Basic Medical Science Facilitation Program through the Catholic Medical Center of the Catholic University of KoreaNational Research Foundation of Korea NRF-2021R1A4A5028966
6 · The paper itself

Abstract

Human cerebral organoids serve as a quintessential model for deciphering the complexities of brain development in a three-dimensional milieu. However, imaging these organoids, particularly when they exceed several millimeters in size, has been curtailed by the technical impediments such as phototoxicity, slow imaging speeds, and inadequate resolution and imaging depth. Addressing these pivotal challenges, our study has pioneered a high-speed scanning microscope, synergistically coupled with advanced computational image processing. This ensemble has empowered us to monitor the intricate dynamics of neuron and oligodendrocyte development within cerebral organoids across a trajectory of approximately two months. Line-shaped illumination mitigates photodamage and, alongside refined spatial gating, maximizes signal collection through integrating with computational processing. The integration of deconvolution and compressive sensing has improved image contrast by 6-fold, elucidating fine features of the neurites. Thus, noninvasive imaging enabled us to perform long-term tracking of neural and oligodendroglial development in the large-scale human cerebral organoid. Furthermore, our sophisticated volumetric segmentation algorithm has yielded a robust four-dimensional quantitative analysis, encapsulating both neuronal and oligodendroglial maturation. Collectively, these advances mark a significant advancement in the field of neurodevelopment, providing a powerful tool for in-depth study of complex brain organoid systems.

Indexed as

BrainNeuronsOligodendrogliaOrganoidsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalCerebral organoidsCortical developmentImage processingNoninvasiveVolumetric imaging

Identifiers

PMID39833280
PMCPMC11747076

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.