Evidence map›Paper›PMID 36677164›Full record

ReviewMicromachines2022

Droplet Detection and Sorting System in Microfluidics: A Review.

Can Huang, Yuqian Jiang, Yuwen Li, Han Zhang

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Optical Tweezers in Emulsion Research: Principles, Advances, and Prospects.Langmuir : the ACS journal of surfaces and colloids · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. On-chip dielectrophoretic single-cell manipulation.Microsystems & nanoengineering · 2024
    Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

4 authors.

Can HuangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77842, USA.ORCID 0000-0002-3675-6585
Yuqian JiangState Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.ORCID 0000-0001-8580-2018
Yuwen LiDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77842, USA.ORCID 0000-0003-2867-3445
Han ZhangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77842, USA.ORCID 0000-0002-9991-9409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since being invented, droplet microfluidic technologies have been proven to be perfect tools for high-throughput chemical and biological functional screening applications, and they have been heavily studied and improved through the past two decades. Each droplet can be used as one single bioreactor to compartmentalize a big material or biological population, so millions of droplets can be individually screened based on demand, while the sorting function could extract the droplets of interest to a separate pool from the main droplet library. In this paper, we reviewed droplet detection and active sorting methods that are currently still being widely used for high-through screening applications in microfluidic systems, including the latest updates regarding each technology. We analyze and summarize the merits and drawbacks of each presented technology and conclude, with our perspectives, on future direction of development.

Indexed as

droplet detectiondroplet microfluidicsdroplet sorting

Identifiers

PMID36677164
PMCPMC9867185

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.