Real-time monitoring and quantitative analysis of 3D tumor spheroids using portable cellular imaging system.

Ji Heon Lim, Ji Wook Choi, Na Yeon Kim, Taewook Kang, Bong Geun Chung

Abstract read

In one paragraph

Article in Biomedical engineering letters, 2025. 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

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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

5 authors.

Ji Heon Lim *Department of Biomedical Engineering, Sogang University, Seoul, Korea.

Ji Wook Choi *Department of Mechanical Engineering, Sogang University, Seoul, Korea.

Na Yeon Kim *Department of Biomedical Engineering, Sogang University, Seoul, Korea.

Taewook KangInstitute of Integrated Biotechnology, Sogang University, Seoul, Korea.

Bong Geun ChungDepartment of Biomedical Engineering, Sogang University, Seoul, Korea.ORCID 0000-0002-6838-3218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) tumor spheroid models closely mimic in vivo tumor environment and play a vital role in studying oncological research. Despite their significance, the existing methods for analyzing 3D tumor spheroids often suffer from limitations, including low throughput, high cost, and insufficient resolution. To address these challenges, we developed a portable imaging system for the real-time sensing and quantitative analysis of the 3D tumor spheroids. The system integrated the seamless workflow of spheroid generation, cell morphology tracking, and drug screening. The spheroid generation was successfully characterized using MCF-7 breast cancer cells by optimizing cell concentration (5-20 × 10 Supplementary Information: The online version contains supplementary material available at 10.1007/s13534-025-00470-y.

Indexed as

3D tumor spheroidDrug screeningPoint-of-care testingReal-time monitoring

Identifiers

PMID40271399

DOI10.1007/s13534-025-00470-y

PMCPMC12011688

What OpenQuestion holds

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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 OpenQuestion graph.