Evidence map›Paper›PMID 42007407›Full record

ArticleMethodsX2026

Rapid single-live-cell scanning

Helena K J Friedrich, Ohood A Alshareef, Stephanie L Wright, Gianfelice Cinque, Ka Lung Andrew Chan

Abstract read
In one paragraph

Article in MethodsX, 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

5 authors.

Helena K J FriedrichInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, King's College London, London, SE1 9NH, UK.
Ohood A AlshareefInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, King's College London, London, SE1 9NH, UK.
Stephanie L WrightEnvironmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK.
Gianfelice CinqueDiamond Light Source, Harwell Science and Innovation Campus, Didcot UX11 0DE, UK.
Ka Lung Andrew ChanInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, King's College London, London, SE1 9NH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring live cells by FTIR spectroscopy is challenging due to their small size and the absorbance of water in the mid-IR region. However, measuring cells in their live state is important to observe changes in the biological processes of cells that are unaffected by fixation and drying processes. Recently, ZnS hemispheres were used to sandwich live cells in a 6 µm layer of cell medium, which simultaneously limit the absorbance of water and increase the spatial resolution by x2.25, thereby enabling high quality spectra to be acquired from living cells. So far, this method has been used as an imaging technique to showcase the distribution of biomolecules within a single cell. In this work, we present an alternative use of these ZnS hemispheres as a high throughput screening tool. We obtained high quality spectra of a single cell at a measurement rate of ∼1 min/cell. We've applied this technique to observe the biochemical effects of various polystyrene microplastics on two mammalian cell lines (J774A.1 and A549), however the method can easily be expanded to other cell lines, microplastics, and alternative xenobiotics. Experiment design in short:•Cultivate cells and expose them to microplastics for 24 h•Seed a small volume of the suspension of the treated cells on the ZnS hemisphere•Obtain FTIR spectra of live-single-cells through the cell medium layer.

Indexed as

A549Cell cultureFTIR spectroscopyImmersion objectiveJ774A.1Live cell analysisMicroplastic exposurePolystyrene microbeads

Identifiers

PMID42007407
PMCPMC13090728

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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.