Evidence map›Paper›PMID 24099270›Full record

ArticleAnalytical chemistry2013

Self-digitization of samples into a high-density microfluidic bottom-well array.

Thomas Schneider, Gloria S Yen, Alison M Thompson, Daniel R Burnham, Daniel T Chiu

Abstract read
In one paragraph

Article in Analytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Article
  6. Article
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  11. Article
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  13. Article
  14. dPCR: A Technology Review.Sensors (Basel, Switzerland) · 2018
    Review
  15. Article
  16. Article
  17. Review
  18. Article
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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

5 authors.

Thomas SchneiderDepartment of Chemistry, University of Washington , Seattle, Washington 98195-1700, United States.
Gloria S Yen
Alison M Thompson
Daniel R Burnham
Daniel T Chiu

Funding

Sample self digitization for digital and real-time PCRR21GM103459 · NIGMS · UNIVERSITY OF WASHINGTON · PI CHIU, DANIEL T · 2012 to 2013
$378k
Sample self digitization for digital and real-time PCRR21RR032399 · NCRR · UNIVERSITY OF WASHINGTON · PI CHIU, DANIEL T · 2011 to 2011
$193k
NCRR NIH HHS R21 RR032399NIGMS NIH HHS GM103459NIGMS NIH HHS R21 GM103459
6 · The paper itself

Abstract

This paper describes a sample digitization method that generates tens of thousands of nanoliter-sized droplets in a high-density array in a matter of minutes. We show that the sample digitization depends on both the geometric design of the microfluidic device and the viscoelastic forces between the aqueous sample and a continuous oil phase. Our design avoids sample loss: Samples are split into tens of thousands of discrete volumes with close to 100% efficiency without the need for any expensive valving or pumping systems. We envision this technology will have broad applications that require simple sample digitization within minutes, such as digital polymerase chain reactions and single-cell studies.

Indexed as

Microfluidic Analytical Techniques

Identifiers

PMID24099270
PMCPMC3839938

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.