Evidence map›Paper›PMID 42317540›Full record

ReviewBiophysical reviews2026

Capillary microfluidics aided single-cell manipulation for optical detection of bacterial pathogens.

Sulaxna Pandey, Navya Sethu, Madhusudan B Kulkarni, Renu Vyas

Abstract readReview
In one paragraph

Review in Biophysical reviews, 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.

Sulaxna PandeyMIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, Maharashtra India.
Navya SethuMIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, Maharashtra India.
Madhusudan B KulkarniDepartment of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, 576104 Karnataka India.
Renu VyasMIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, Maharashtra India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of bacterial pathogens at the single-cell level is critical for early diagnosis, understanding microbial behavior, and monitoring treatment efficacy. Capillary microfluidics, with its precise fluid control and ability to manipulate single cells, has emerged as a powerful tool in this field. This review explores recent advancements in capillary microfluidics techniques for single-cell manipulation and their integration with optical detection methods to identify bacterial pathogens. Various microfluidic designs, such as capillary-based traps and sieves that enable the isolation and analysis of individual bacterial cells are presented in the review. Additionally, microfluidic-based single-cell detection techniques and optical detection modalities, such as fluorescence microscopy and Raman spectroscopy, that provide highly sensitive and specific pathogen identification are highlighted. The review also addresses the challenges in scaling up these technologies for clinical applications and offers insights into future trends in capillary microfluidics for pathogen detection. Capillary microfluidics-aided single-cell analysis represents a promising frontier in the rapid, accurate, and low-cost detection of bacterial pathogens, with significant implications for public health and disease management. Supplementary Information: The online version contains supplementary material available at 10.1007/s12551-025-01363-1.

Indexed as

Bacterial Pathogen DetectionCapillary MicrofluidicsMicrochannel DesignOptical DetectionSingle cell Manipulation

Identifiers

PMID42317540
PMCPMC13272692

What OpenQuestion holds

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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.