Evidence map›Paper›PMID 40212991›Full record

ArticleSmall science2024

Integrated Microfluidics for Single-Cell Separation and On-Chip Analysis: Novel Applications and Recent Advances.

Hazal Kutluk, Martina Viefhues, Iordania Constantinou

Abstract read
In one paragraph

Article in Small science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  12. Scale-down bioreactors-comparative analysis of configurations.Bioprocess and biosystems engineering · 2025
    Review
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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

3 authors.

Hazal KutlukInstitute of Microtechnology (IMT) Technische Universität Braunschweig Alte Salzdahlumer Str. 203 38124 Braunschweig Germany.ORCID https://orcid.org/0000-0003-1158-0760
Martina ViefhuesExperimental Biophysics & Applied Nanoscience Faculty of Physics Bielefeld University Universitätsstrasse 25 33615 Bielefeld Germany.ORCID https://orcid.org/0000-0002-7644-640X
Iordania ConstantinouInstitute of Microtechnology (IMT) Technische Universität Braunschweig Alte Salzdahlumer Str. 203 38124 Braunschweig Germany.ORCID https://orcid.org/0000-0002-3609-7292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From deciphering infection and disease mechanisms to identifying novel biomarkers and personalizing treatments, the characteristics of individual cells can provide significant insights into a variety of biological processes and facilitate decision-making in biomedical environments. Conventional single-cell analysis methods are limited in terms of cost, contamination risks, sample volumes, analysis times, throughput, sensitivity, and selectivity. Although microfluidic approaches have been suggested as a low-cost, information-rich, and high-throughput alternative to conventional single-cell isolation and analysis methods, limitations such as necessary off-chip sample pre- and post-processing as well as systems designed for individual workflows have restricted their applications. In this review, a comprehensive overview of recent advances in integrated microfluidics for single-cell isolation and on-chip analysis in three prominent application domains are provided: investigation of somatic cells (particularly cancer and immune cells), stem cells, and microorganisms. Also, the use of conventional cell separation methods (e.g., dielectrophoresis) in unconventional or novel ways, which can advance the integration of multiple workflows in microfluidic systems, is discussed. Finally, a critical discussion related to current limitations of integrated microfluidic single-cell workflows and how they could be overcome is provided.

Indexed as

integrated microfluidicssingle‐cell analysessingle‐cell isolationssingle‐cell sortings

Identifiers

PMID40212991
PMCPMC11935165

What OpenQuestion holds

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Registered trials

None linked

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.