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

Qiaopeng Chen1, Aditya Sriram2, Ayan Das1

  • 1Department of Mechanical Engineering, University of California, Santa Barbara, CA, USA.

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Summary
This summary is machine-generated.

We developed BARCODE, an open-access software for analyzing microscopy videos of active materials. This tool automates high-throughput screening, enabling efficient optimization and discovery of novel non-equilibrium materials.

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Area of Science:

  • Materials Engineering
  • Biomaterials Science
  • Data Science

Background:

  • Active, responsive, non-equilibrium materials exhibit life-like properties but generate large, complex datasets.
  • Conventional analysis methods struggle with the scale and complexity of data from these advanced materials.

Purpose of the Study:

  • To introduce BARCODE (Biomaterial Activity Readouts to Categorize, Optimize, Design and Engineer), an open-access software.
  • To automate high-throughput screening of microscopy video data for non-equilibrium materials.
  • To enable efficient material optimization and discovery through streamlined data analysis.

Main Methods:

  • BARCODE automates the analysis of microscopy video data.
  • It employs three material-agnostic analysis branches to reduce data dimensionality and size.
  • The software generates a unique 'barcode' fingerprint of performance metrics for dynamic material properties.

Main Results:

  • BARCODE significantly reduces data dimensionality and file size.
  • It provides rich, multiparametric outputs for rapid characterization of material activity and structure.
  • Analysis of cytoskeleton networks and cell monolayers demonstrated accelerated screening and revealed unexpected correlations.

Conclusions:

  • BARCODE enables efficient optimization and discovery of non-equilibrium materials.
  • The software facilitates broad non-expert data access, comparison, and sharing.
  • BARCODE streamlines the analysis of complex material behavior from microscopy data.