Evidence map›Paper›PMID 39657682›Full record

ArticleCell reports methods2024

A programmable, open-source robot that scratches cultured tissues to investigate cell migration, healing, and tissue sculpting.

Yubin Lin, Alexander Silverman-Dultz, Madeline Bailey, Daniel J Cohen

Abstract read
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. In Vitro Wound Simulation: A High-Throughput Device for Scratch Assays.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yubin LinDepartment of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08540, USA.
Alexander Silverman-DultzSchool of Arts and Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA.
Madeline BaileySchool of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA.
Daniel J CohenDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08540, USA; Omenn-Darling Bioengineering Institute, Princeton University, Princeton, NJ 08540, USA. Electronic address: danielcohen@princeton.edu.

Funding

Understanding and controlling collective cell behaviorsR35GM133574 · NIGMS · PRINCETON UNIVERSITY · PI Daniel Cohen · 2019 to 2026
$3.2M
NIGMS NIH HHS R35 GM133574
6 · The paper itself

Abstract

Despite the widespread popularity of the "scratch assay," where a pipette is dragged manually through cultured tissue to create a gap to study cell migration and healing, it carries significant drawbacks. Its heavy reliance on manual technique can complicate quantification, reduce throughput, and limit the versatility and reproducibility. We present an open-source, low-cost, accessible, robotic scratching platform that addresses all of the core issues. Compatible with nearly all standard cell culture dishes and usable directly in a sterile culture hood without specialized training, our robot makes highly reproducible scratches in a variety of complex cultured tissues with high throughput. Moreover, the robot demonstrates precise removal of tissues for sculpting arbitrary tissue and wound shapes, enabling complex co-culture experiments. This system significantly improves the usefulness of the conventional scratch assay and opens up new possibilities in complex tissue engineering for realistic wound healing and migration research.

Indexed as

Cell MovementRoboticsWound HealingAnimalsCoculture TechniquesHumansMiceTissue Culture TechniquesTissue Engineeringcell migrationco-culturecollective migrationCP: biotechnologyhigh-throughput imagingmicropatterningmigration assayscratch assaytissue engineeringwound-healing assay

Identifiers

PMID39657682
PMCPMC11704611

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.