Evidence map›Paper›PMID 42403050›Full record

ArticleSmall methods2026

An Integrated Micromirror System for High-Throughput Multi-Parametric Cell Imaging.

Yingchao Meng, Xiaobao Chao, Andrew J deMello, Stavros Stavrakis

Abstract read
In one paragraph

Article in Small methods, 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

4 authors.

Yingchao MengDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Zürich, Switzerland.
Xiaobao ChaoDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Zürich, Switzerland.
Andrew J deMelloDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Zürich, Switzerland.
Stavros StavrakisDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-0888-5953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging flow cytometry combines the high-throughput capabilities of conventional flow cytometry with single-cell morphological analysis, enabling the extraction of high-content information from large and heterogeneous cell populations. Whilst powerful, current imaging flow cytometers rely on complex optical assemblies to achieve high detection sensitivities and spatial resolution. Optofluidic systems that monolithically integrate microfluidics and optical components offer a route to both simplifying and miniaturizing imaging flow cytometers, whilst enhancing imaging performance. Herein, we present a sheathless optofluidic imaging flow cytometry platform (optoIFC) that incorporates microfabricated mirrors for simultaneous two-color fluorescence and brightfield imaging. The use of two-photon stereolithography enables the single-step fabrication of micromirrors directly within microfluidic channels, substantially simplifying device production. The use of such systems with stroboscopic fluorescence illumination provides for imaging throughputs exceeding 3,000 cells per second. To showcase the efficacy of the optoIFC, TNF-α-induced NF-κB nuclear translocation in HL-60 cells is investigated through dual-colour fluorescence imaging, confirming that the optoIFC enables precise cell sizing and high-content mapping of intracellular heterogeneity across large populations at high-throughput.

Indexed as

Flow CytometryHigh-Throughput Screening AssaysHumansNF-kappa BTumor Necrosis Factor-alphaNF-kappa BTumor Necrosis Factor-alphafabricationfluorescencemicrofluidicsnanoscopic scalephotolithographystereolithographystroboscopetaxonomy

Identifiers

PMID42403050
PMCPMC13450170

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.