Evidence map›Paper›PMID 37893250›Full record

ArticleMicromachines2023

A High-Throughput Microfluidic Cell Sorter Using a Three-Dimensional Coupled Hydrodynamic-Dielectrophoretic Pre-Focusing Module.

Mohammad Aghaamoo, Braulio Cardenas-Benitez, Abraham P Lee

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Mohammad AghaamooDepartment of Biomedical Engineering, University of California Irvine, Irvine, CA 92697, USA.ORCID 0000-0002-4081-6763
Braulio Cardenas-BenitezDepartment of Biomedical Engineering, University of California Irvine, Irvine, CA 92697, USA.ORCID 0000-0002-8259-3705
Abraham P LeeDepartment of Biomedical Engineering, University of California Irvine, Irvine, CA 92697, USA.ORCID 0000-0001-8378-6616
University of California, Irvine · US

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
National Science Foundation NSF I/UCRC award number IIP 1841509NCATS NIH HHS UL1 TR001414
6 · The paper itself

Abstract

Dielectrophoresis (DEP) is a powerful tool for label-free sorting of cells, even those with subtle differences in morphological and dielectric properties. Nevertheless, a major limitation is that most existing DEP techniques can efficiently sort cells only at low throughputs (<1 mL h

Indexed as

dielectrophoresishigh-throughput cell sortinghydrodynamic-dielectrophoretic 3D cell pre-focusingmicrofluidicstheoretical and numerical modeling

Identifiers

PMID37893250
PMCPMC10609158
OpenAlexW4386996704

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.