Evidence map›Paper›PMID 41028556›Full record

ReviewAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2025

Advances in microfluidic chip technology for cell analysis.

Luxi Shu, Yan Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Luxi ShuFaculty of Science, Kunming University of Science and Technology, Kunming, 650500, China.
Yan ZhangFaculty of Science, Kunming University of Science and Technology, Kunming, 650500, China. zhangyan_ecnu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microfluidic chips play a crucial role in the field of cell analysis. These miniature chips integrate seamlessly across key cell analysis stages, including sample preparation, cell culture, sorting, lysis, and detection. They possess many advantages such as miniaturization, integration, automation, and portability. The size of their microchannels is comparable to that of cells, thus enabling research to be conducted at the single-cell or even subcellular organelle level. They can also simulate the physiological conditions in vivo, conduct non-destructive or minimally destructive detections, and meet the requirements of high-throughput cell analysis, which is beneficial for parallel operations and continuous analysis. This article reviews the technological progress of microfluidic chips, focusing on three major directions: cell sorting and enrichment, single-cell analysis, and dynamic microenvironment simulation. The article also analyzes the challenges faced by this technology, such as cell damage control, handling of multicellular heterogeneity, data interpretation, etc., and proposes coping strategies such as the development of new biomaterials, multimodal integration technology, and artificial intelligence assistance. By combining cutting-edge technologies such as nanotechnology, 3D printing, and organoid culture, the functions of microfluidic chips can be further expanded to enable the simulation and analysis of more complex biological systems and provide important technical support for cell biology research and clinical translation.

Indexed as

Lab-On-A-Chip DevicesMicrofluidic Analytical TechniquesSingle-Cell AnalysisAnimalsCell SeparationHumansCell analysis and detectionCell sorting and enrichmentDynamic microenvironment simulationMicrofluidic chipSingle-cell analysis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.