Evidence map›Paper›PMID 39813060›Full record

ArticleACS biomaterials science & engineering2025

Nondestructive Mechanical Characterization of Bioengineered Tissues by Digital Holography.

Colin Hiscox, Juanyong Li, Ziyang Gao, Dmitry Korkin, Cosme Furlong, Kristen Billiar

Abstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Colin HiscoxMechanical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Juanyong LiBiomedical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Ziyang GaoComputer Science Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Dmitry KorkinComputer Science Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Cosme FurlongMechanical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Kristen BilliarMechanical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.ORCID 0000-0002-4808-3939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical properties of engineered connective tissues are critical for their success, yet modern sensors that measure physical qualities of tissues for quality control are invasive and destructive. The goal of this work was to develop a noncontact, nondestructive method to measure mechanical attributes of engineered skin substitutes during production without disturbing the sterile culture packaging. We optimized a digital holographic vibrometry (DHV) system to measure the mechanical behavior of Apligraf living cellular skin substitute through the clear packaging in multiple conditions: resting on solid agar as when the tissue is shipped, on liquid media in which it is grown, and freely suspended in air as occurs when the media is removed for feeding. We utilized full-field measurement to assess the complete surface deformation pattern to compare with vibration theory and found the patterns observed in air showed the closest behavior to theory. To simulate the effects of the actual culture dish geometry and the trilayer composition of the tissue on the porous membrane support, we employed finite element (FE) analysis. To simulate changes in thickness and stiffness that may occur with manufacturing process variations, we dried samples over time and observed measurable increases in the fundamental mode frequency which could be predicted by altering the thickness of the tissue layers in the FE model. However, quantitative estimates of the engineered tissue stiffness based on vibration theory are unrealistically high due to the signal being dominated by the stiff underlying membrane on which the tissue is cultured. Thus, although DHV is not able to specifically quantify the thickness or modulus or identify small spot defects, it has the potential to be used assess the overall properties of a tissue in-line and noninvasively for quality control.

Indexed as

HolographySkin, ArtificialTissue EngineeringFinite Element AnalysisHumansQuantitative Phase ImagingVibration3D deep learning classificationdigital holographymanufacturingmechanical testingtissue engineeringvibration

Identifiers

PMID39813060
PMCPMC12302056

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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.