Evidence map›Paper›PMID 42579226›Full record

ArticleAnnals of biomedical engineering2026

Inertial Microfluidic Separation of Cell Clusters from Blood Cells in Meandering Channels.

Ivan Cimrák, Michal Mulík, Monika Smiešková, Alžbeta Bugáňová, Yuhao Qiang, Franciele Flores Vit, Jianlu Zheng, Ming Dao

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

8 authors.

Ivan CimrákBiomedical Modelling and Computations Group, Faculty of Management Science and Informatics, University of Žilina, Žilina, Žilina Region, Slovakia. ivan.cimrak@fri.uniza.sk.ORCID https://orcid.org/0000-0002-0389-7891
Michal MulíkBiomedical Modelling and Computations Group, Faculty of Management Science and Informatics, University of Žilina, Žilina, Žilina Region, Slovakia.ORCID https://orcid.org/0000-0001-5592-4524
Monika SmieškováBiomedical Modelling and Computations Group, Faculty of Management Science and Informatics, University of Žilina, Žilina, Žilina Region, Slovakia.ORCID https://orcid.org/0000-0002-3633-1798
Alžbeta BugáňováBiomedical Modelling and Computations Group, Faculty of Management Science and Informatics, University of Žilina, Žilina, Žilina Region, Slovakia.ORCID https://orcid.org/0000-0001-6772-2970
Yuhao QiangDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID https://orcid.org/0009-0009-5262-7386
Franciele Flores VitDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID https://orcid.org/0000-0002-0047-8384
Jianlu ZhengDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID https://orcid.org/0009-0003-0216-3487
Ming DaoDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID https://orcid.org/0000-0001-5372-385X

Funding

EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia 09103-03-V04-00705Foundation for the National Institutes of Health R01HL158102University of Maryland Eastern Shore Faculty startup grant
6 · The paper itself

Abstract

purposeInertial microfluidics is well established for separating particles and cells by size and mechanical properties; however, its application for isolating cell clusters from single blood cells in meandering channels remains largely unexplored. This study demonstrates the potential of inertial focusing in S-shaped meandering channels to separate two-cell clusters from single cells.

methodsWe first analyzed the cumulative secondary transport using passive-tracer trajectories recorded at phase-matched sections of repeated S-shaped periods. This Lagrangian analysis revealed four recurrent transport regions that help explain the observed size- and shape-dependent focusing behavior. We further developed a computational model, validated against experimental data in a nine-section meandering microchannel, which accurately predicts the distinct focusing positions of 8μm and 15μm particles-characteristic sizes of human red blood cells (RBCs) and leukocytes. The model was further validated against experiments with red blood cells and the MCF7 cell line, reproducing the observed focusing modes and transverse focusing positions.

resultsSubsequently, we evaluated in silico the separation of two-cell clusters (formed by two adhered 8μm or 15μm cells, modeling circulating tumor cell clusters or leukocyte aggregates) from single blood cells across six microchannel designs of three varying widths and two heights of the channel. For different cell mixture compositions, we provide specific guidelines for optimizing channel geometry and flow velocity to achieve high-purity separation.

conclusionThis work establishes a systematic framework for designing inertial microfluidic devices to isolate cell clusters using meandering microchannels.

Indexed as

Cell clustersCell focusingInertial microfluidicsMeandering microchannelParticle separation

Identifiers

PMID42579226

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.