BARCODE: high throughput screening and analysis of soft active materials

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 developed 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, tra..., , # BARCODE: high throughput screening and analysis of soft active materials

Dryad DOI: https://doi.org/10.5061/dryad.pc866t235

This dataset contains the quantitative data presented in the main text figures for “BARCODE: Biomaterial Activity Readouts to Categorize, Optimize, Design and Engineer for high throughput screening of dynamic soft materials”, by authors 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 Megan T. Valentine, currently in review.

Description of the data and file structure

All tabular data are provided in comma-separated value form (.csv). File names refer to the figure numbers of the manuscript. All configuration files providing text descriptions of the user-defined parameters used to generate each set of barcodes are provided as .json files.

Figure 1. Schematic and Graphical overview of the analysis workflow. No quantitative data are presented.

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