Evidence map›Paper›PMID 41476166›Full record

ArticleNature communications2025

BARCODE: high throughput screening and analysis of soft active materials.

Qiaopeng Chen, Aditya Sriram, Ayan Das, Katarina Matic, Maya Hendija, Keegan Tonry, Jennifer L Ross, Moumita Das, Ryan J McGorty, Rae M Robertson-Anderson and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Qiaopeng Chen *Department of Mechanical Engineering, University of California, Santa Barbara, CA, USA.
Aditya Sriram *Department of Physics and Biophysics, University of San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-7356-7014
Ayan DasDepartment of Mechanical Engineering, University of California, Santa Barbara, CA, USA.
Katarina MaticDepartment of Physics and Biophysics, University of San Diego, San Diego, CA, USA.
Maya HendijaDepartment of Physics and Biophysics, University of San Diego, San Diego, CA, USA.
Keegan TonrySchool of Physics and Astronomy, Rochester Institute of Technology, Rochester, NY, USA.
Jennifer L RossDepartment of Physics, Syracuse University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0002-4838-3798
Moumita DasSchool of Physics and Astronomy, Rochester Institute of Technology, Rochester, NY, USA.ORCID http://orcid.org/0000-0002-0397-8886
Ryan J McGortyDepartment of Physics and Biophysics, University of San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-6577-060X
Rae M Robertson-AndersonDepartment of Physics and Biophysics, University of San Diego, San Diego, CA, USA. randerson@sandiego.edu.ORCID http://orcid.org/0000-0003-4475-4667
Megan T ValentineDepartment of Mechanical Engineering, University of California, Santa Barbara, CA, USA. valentine@engineering.ucsb.edu.ORCID http://orcid.org/0000-0003-4781-8478

Funding

National Science Foundation (NSF) NSF DMR-1933487National Science Foundation (NSF) NSF DMR-2118403National Science Foundation (NSF) NSF DMR-2118449National Science Foundation (NSF) NSF DMR-2119663Research Corporation for Scientific Advancement (RCSA) CS-PBP-2023-019
6 · The paper itself

Abstract

Active, responsive, non-equilibrium materials-at the forefront of materials engineering-offer dynamical restructuring, mobility and other complex life-like properties. Yet, this enhanced functionality comes with significant amplification of the size and complexity of the datasets needed to characterize their properties, thereby challenging conventional approaches to analysis. To meet this need, we present BARCODE: Biomaterial Activity Readouts to Categorize, Optimize, Design and Engineer, an open-access software that automates high throughput screening of microscopy video data to enable non-equilibrium material optimization and discovery. BARCODE produces a unique fingerprint or 'barcode' of performance metrics that visually and quantitatively encodes dynamic material properties with minimal file size. Using three complementary material-agnostic analysis branches, BARCODE significantly reduces data dimensionality and size, while providing rich, multiparametric outputs and rapid tractable characterization of activity and structure. We analyze a series of datasets of cytoskeleton networks and cell monolayers to demonstrate BARCODE's abilities to accelerate and streamline screening and analysis, reveal unexpected correlations and emergence, and enable broad non-expert data access, comparison, and sharing.

Indexed as

Biocompatible MaterialsHigh-Throughput Screening AssaysAnimalsCytoskeletonHumansSoftwareBiocompatible Materials

Identifiers

PMID41476166
PMCPMC12858825

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.