Evidence map›Paper›PMID 35857442›Full record

ArticleScience advances2022

FIDELITY: A quality control system for droplet microfluidics.

Han Zhang, Can Huang, Yuwen Li, Rohit Gupte, Ryan Samuel, Jing Dai, Adrian Guzman, Rushant Sabnis, Paul de Figueiredo, Arum Han

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. A Machine Vision Perspective on Droplet-Based Microfluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Tutorial on Lateral Dielectrophoretic Manipulations in Microfluidic Systems.IEEE transactions on biomedical circuits and systems · 2023
    Article
  12. 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

10 authors.

Han ZhangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-9991-9409
Can HuangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-3675-6585
Yuwen LiDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Rohit GupteDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-3875-8442
Ryan SamuelDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Jing DaiDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Adrian GuzmanDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-6559-8758
Rushant SabnisDepartment of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA.
Paul de FigueiredoDepartment of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA.ORCID 0000-0002-3878-5064
Arum HanDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-9223-8301

Funding

Development of a High-Throughput Microfluidics-Enabled Functional Assay for Rapidly Identifying Neutralizing AntibodiesR01AI141607 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI DE FIGUEIREDO, PAUL, HAN, ARUM · 2019 to 2023
$3.4M
NIAID NIH HHS R01 AI141607
6 · The paper itself

Abstract

Droplet microfluidic systems have been widely deployed to interrogate biological and chemical systems. The major limitations of these systems are the relatively high error rates from critical droplet manipulation functions. To address these limitations, we describe the development of FIDELITY (Flotation and Interdigitated electrode forces on Droplets to Enable Lasting system IntegriTY), a highly sensitive and accurate size-based droplet bandpass filter that leverages the natural buoyancy of aqueous droplets and highly localized dielectrophoretic force generated by interdigitated electrode arrays. Droplet manipulation accuracies greater than 99% were achieved at a throughput of up to 100 droplets/s and separation of droplets that differed in diameter by only 6 μm was demonstrated. Last, the utility of FIDELITY was demonstrated in a droplet size quality control application and also in a droplet-based in vitro transcription/translation workflow. We anticipate FIDELITY to be integrated into a broad range of droplet microfluidic configurations to achieve exceptional operational accuracy.

Identifiers

PMID35857442
PMCPMC9269891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.