Evidence map›Paper›PMID 33656335›Full record

ArticleACS sensors2021

Microphysiological System for High-Throughput Computer Vision Measurement of Microtissue Contraction.

Ana Maria Gracioso Martins, Michael D Wilkins, Frances S Ligler, Michael A Daniele, Donald O Freytes

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. High throughput screening system for engineered cardiac tissues.Frontiers in bioengineering and biotechnology · 2023
    Article
  3. Review
  4. 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

5 authors at 1 institution in 1 country.

Ana Maria Gracioso MartinsJoint Department of Biomedical Engineering, University of North Carolina-Chapel Hill/North Carolina State University, Raleigh 27695, North Carolina, United States.ORCID 0000-0001-7633-6676
Michael D WilkinsComparative Medicine Institute, North Carolina State University, Raleigh 27695, North Carolina, United States.
Frances S LiglerJoint Department of Biomedical Engineering, University of North Carolina-Chapel Hill/North Carolina State University, Raleigh 27695, North Carolina, United States.ORCID 0000-0003-4909-2084
Michael A DanieleJoint Department of Biomedical Engineering, University of North Carolina-Chapel Hill/North Carolina State University, Raleigh 27695, North Carolina, United States.ORCID 0000-0002-2016-4091
Donald O FreytesJoint Department of Biomedical Engineering, University of North Carolina-Chapel Hill/North Carolina State University, Raleigh 27695, North Carolina, United States.
North Carolina State University · US

Funding

Optimal Tissue Engineering Approach for Treating Injured Vocal FoldsR01DC017139 · NIDCD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI FREYTES, DONALD O · 2019 to 2023
$2.7M
Augmenting Vocal Fold Repair Using an Optimized Lamina Propria Extracellular Matrix Derived HydrogelR01DC017743 · NIDCD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI FREYTES, DONALD O · 2019 to 2023
$2.7M
American Heart Association-American Stroke Association 18TPA34230031NIDCD NIH HHS R01 DC017139NIDCD NIH HHS R01 DC017743
6 · The paper itself

Abstract

The ability to measure microtissue contraction in vitro can provide important information when modeling cardiac, cardiovascular, respiratory, digestive, dermal, and skeletal tissues. However, measuring tissue contraction in vitro often requires the use of high number of cells per tissue construct along with time-consuming microscopy and image analysis. Here, we present an inexpensive, versatile, high-throughput platform to measure microtissue contraction in a 96-well plate configuration using one-step batch imaging. More specifically, optical fiber microprobes are embedded in microtissues, and contraction is measured as a function of the deflection of optical signals emitted from the end of the fibers. Signals can be measured from all the filled wells on the plate simultaneously using a digital camera. An algorithm uses pixel-based image analysis and computer vision techniques for the accurate multiwell quantification of positional changes in the optical microprobes caused by the contraction of the microtissues. Microtissue constructs containing 20,000-100,000 human ventricular cardiac fibroblasts (NHCF-V) in 6 mg/mL collagen type I showed contractile displacements ranging from 20-200 μm. This highly sensitive and versatile platform can be used for the high-throughput screening of microtissues in disease modeling, drug screening for therapeutics, physiology research, and safety pharmacology.

Indexed as

FibroblastsHigh-Throughput Screening AssaysComputersHumansImage Processing, Computer-Assisted3D culturecomputer vision.high throughputtissue contractiontissue function

Identifiers

PMID33656335
PMCPMC9377143
OpenAlexW3133714405

What OpenQuestion holds

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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.