Evidence map›Paper›PMID 25470130›Full record

ArticlePloS one2014

A fully automated microfluidic femtosecond laser axotomy platform for nerve regeneration studies in C. elegans.

Sertan Kutal Gokce, Samuel X Guo, Navid Ghorashian, W Neil Everett, Travis Jarrell, Aubri Kottek, Alan C Bovik, Adela Ben-Yakar

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Lab on a chip · 2023
    Article
  8. Article
  9. Article
  10. Microfluidic approaches forAnimal cells and systems · 2020
    Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. High-throughput screening in the C. elegans nervous system.Molecular and cellular neurosciences · 2017
    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

8 authors.

Sertan Kutal GokceElectrical and Computer Engineering, University of Texas, Austin, Texas, 78712, United States of America.
Samuel X GuoMechanical Engineering, University of Texas, Austin, Texas, 78705, United States of America.
Navid GhorashianBiomedical Engineering, University of Texas, Austin, Texas, 78705, United States of America.
W Neil EverettMechanical Engineering, University of Texas, Austin, Texas, 78705, United States of America.
Travis JarrellMechanical Engineering, University of Texas, Austin, Texas, 78705, United States of America.
Aubri KottekMechanical Engineering, University of Texas, Austin, Texas, 78705, United States of America.
Alan C BovikElectrical and Computer Engineering, University of Texas, Austin, Texas, 78712, United States of America.
Adela Ben-YakarElectrical and Computer Engineering, University of Texas, Austin, Texas, 78712, United States of America; Mechanical Engineering, University of Texas, Austin, Texas, 78705, United States of America; Biomedical Engineering, University of Texas, Austin, Texas, 78705, United States of America.

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
High-speed opto-fluidics to screen entire nervous system in aging and diseaseR01AG041135 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI BEN-YAKAR, ADELA, PIERCE, JONATHAN THOMAS · 2011 to 2015
$2.8M
Microfluidic-microtiter interface for rapid large-scale screenings of C. elegansR21NS067340 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI BEN-YAKAR, ADELA · 2009 to 2010
$409k
Integrated Microfluidics for Nerve Regeneration Studies using Laser Nano-AxotomyR21NS058646 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI BEN-YAKAR, ADELA · 2007 to 2008
$353k
NIA NIH HHS R01 AG041135NIH HHS P40 OD010440NINDS NIH HHS R21 NS058646NINDS NIH HHS R21 NS067340
6 · The paper itself

Abstract

Femtosecond laser nanosurgery has been widely accepted as an axonal injury model, enabling nerve regeneration studies in the small model organism, Caenorhabditis elegans. To overcome the time limitations of manual worm handling techniques, automation and new immobilization technologies must be adopted to improve throughput in these studies. While new microfluidic immobilization techniques have been developed that promise to reduce the time required for axotomies, there is a need for automated procedures to minimize the required amount of human intervention and accelerate the axotomy processes crucial for high-throughput. Here, we report a fully automated microfluidic platform for performing laser axotomies of fluorescently tagged neurons in living Caenorhabditis elegans. The presented automation process reduces the time required to perform axotomies within individual worms to ∼17 s/worm, at least one order of magnitude faster than manual approaches. The full automation is achieved with a unique chip design and an operation sequence that is fully computer controlled and synchronized with efficient and accurate image processing algorithms. The microfluidic device includes a T-shaped architecture and three-dimensional microfluidic interconnects to serially transport, position, and immobilize worms. The image processing algorithms can identify and precisely position axons targeted for ablation. There were no statistically significant differences observed in reconnection probabilities between axotomies carried out with the automated system and those performed manually with anesthetics. The overall success rate of automated axotomies was 67.4±3.2% of the cases (236/350) at an average processing rate of 17.0±2.4 s. This fully automated platform establishes a promising methodology for prospective genome-wide screening of nerve regeneration in C. elegans in a truly high-throughput manner.

Indexed as

AnimalsAutomationAxonsAxotomyCaenorhabditis elegansEquipment DesignImage Processing, Computer-AssistedLasersMicrofluidic Analytical TechniquesNerve RegenerationNeuronsReproducibility of ResultsTime Factors

Identifiers

PMID25470130
PMCPMC4254741

What OpenQuestion holds

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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.