Evidence map›Paper›PMID 20373755›Full record

ArticleAnalytical chemistry2010

Particle focusing in staged inertial microfluidic devices for flow cytometry.

John Oakey, Robert W Applegate, Erik Arellano, Dino Di Carlo, Steven W Graves, Mehmet Toner

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
10.4field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 220 citations in OpenAlex.

  1. Article
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  8. Review
  9. Article
  10. Patterns of bacterial motility in microfluidics-confining environments.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. An overview of functional nanoparticles as novel emerging antiviral therapeutic agents.Materials science & engineering. C, Materials for biological applications · 2020
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Cell Cytometry: Review and Perspective on Biotechnological Advances.Frontiers in bioengineering and biotechnology · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. Review

5 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

John OakeyBioMEMS Resource Center, Center for Engineering in Medicine and Surgical Services, Massachusetts General Hospital, Shriners Hospital for Children and Harvard Medical School, Boston, Massachusetts 02114, USA.
Robert W Applegate
Erik Arellano
Dino Di Carlo
Steven W Graves
Mehmet Toner
Los Alamos National Laboratory · US

Funding

WORKSHOP AT INTERNATIONAL SOCIETY FOR ANALYTICAL CYTOLOGYP41RR001315 · NCRR · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI DICHOSA, ARMAND · 1985 to 2011
$19.2M
Bio-MicroElectroMechanical Systems Resource CenterP41EB002503 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2004 to 2018
$17.4M
UNM Initiative to Maximize Student Diversity (IMSD)R25GM060201 · NIGMS · UNIVERSITY OF NEW MEXICO · PI WERNER-WASHBURNE, MARGRET C. · 2000 to 2017
$9.9M
TRAINING IN NEUROSCIENCET32MH020064 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI ELDRED, WILLIAM D · 2000 to 2009
$2.1M
Low cost portable flow cytometry (R21/R33)R33RR020064 · NCRR · UNIVERSITY OF NEW MEXICO · PI GRAVES, STEVEN W · 2007 to 2009
$1.4M
Low cost portable flow cytometry (R21/R33)R21RR020064 · NCRR · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI GRAVES, STEVEN W · 2005 to 2006
$403k
NCRR NIH HHS P41 RR001315NCRR NIH HHS R21 RR020064NCRR NIH HHS R33 RR020064NCRR NIH HHS RR001315NCRR NIH HHS RR020064NIBIB NIH HHS P41 EB002503NIBIB NIH HHS P41EB002503NIGMS NIH HHS GM-060201NIGMS NIH HHS R25 GM060201NIMH NIH HHS T32 MH020064
6 · The paper itself

Abstract

Microfluidic inertial focusing has been demonstrated to be an effective method for passively positioning microparticles and cells without the assistance of sheath fluid. Because inertial focusing produces well-defined lateral equilibrium particle positions in addition to highly regulated interparticle spacing, its value in flow cytometry has been suggested. Particle focusing occurs in straight channels and can be manipulated through cross sectional channel geometry by the introduction of curvature. Here, we present a staged channel design consisting of both curved and straight sections that combine to order particles into a single streamline with longitudinal spacing. We have evaluated the performance of these staged inertial focusing channels using standard flow cytometry methods that make use of calibration microspheres. Our analysis has determined the measurement precision and resolution, as a function of flow velocity and particle concentration that is provided by these channels. These devices were found to operate with increasing effectiveness at higher flow rates and particle concentrations, within the examined ranges, which is ideal for high throughput analysis. Further, the prototype flow cytometer equipped with an inertial focusing microchannel matched the resolution provided by a commercial hydrodynamic focusing flow cytometer. Most notably, our analysis indicates that the inertial focusing channels virtually eliminated particle coincidence at the analysis point. These properties suggest a potentially significant role for inertial focusing in the development of inexpensive flow cytometry-based diagnostics and in applications requiring the analysis of high particle concentrations.

Indexed as

Flow CytometryMicrofluidic Analytical TechniquesMicrospheresParticle Size

Identifiers

PMID20373755
PMCPMC3136802
OpenAlexW1972091864

What OpenQuestion holds

Textmetadata
LicenceTDM
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.