Evidence map›Paper›PMID 29476103›Full record

ArticleScientific reports2018

An integrated microfluidic device for the sorting of yeast cells using image processing.

Bo Yang Yu, Caglar Elbuken, Chong Shen, Jan Paul Huissoon, Carolyn L Ren

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Optical sorting: past, present and future.Light, science & applications · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Microfluidic pumps for cell sorting.Biomicrofluidics · 2023
    Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Image-Based Live Cell Sorting.Trends in biotechnology · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Cell Separations and Sorting.Analytical chemistry · 2020
    Review
  17. Article
  18. Article
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.

Bo Yang YuDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Caglar ElbukenBilkent University, National Nanotechnology Research Center, Ankara, Turkey.ORCID 0000-0001-8359-6871
Chong ShenNeverfrost Inc, Kitchener, ON, Canada.
Jan Paul HuissoonDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Carolyn L RenDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada. c3ren@uwaterloo.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of detection and separation of yeast cells based on their morphological characteristics is critical to the understanding of cell division cycles, which is of vital importance to the understanding of some diseases such as cancer. The traditional process of manual detection is usually tedious and inconsistent. This paper presents a microfluidic device integrated with microvalves for fluid control for the sorting of yeast cells using image processing algorithms and confirmation based on their fluorescent tag. The proposed device is completely automated, low cost and easy to implement in an academic research setting. Design details of the integrated microfluidic system are highlighted in this paper, along with experimental validation. Real time cell sorting was demonstrated with a cell detection rate of 12 cells per minute.

Indexed as

Microfluidic Analytical TechniquesAlgorithmsCell CountCell MovementCell SeparationHumansImage Processing, Computer-AssistedLab-On-A-Chip DevicesYeasts

Identifiers

PMID29476103
PMCPMC5824950

What OpenQuestion holds

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Registered trials

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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.