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, Megan T. Valentine

TL;DR
BARCODE is a software tool that automates the analysis of microscopy videos to study dynamic, non-equilibrium materials, making screening faster and more accessible.
Contribution
BARCODE introduces a novel, open-access method for high throughput screening of soft active materials using a barcode-like fingerprint of performance metrics.
Findings
BARCODE reduces data dimensionality and size while providing rich, multiparametric outputs.
The software accelerates screening and analysis of cytoskeleton networks and cell monolayers.
BARCODE reveals unexpected correlations and enables broad data access and sharing.
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…
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Taxonomy
TopicsMachine Learning in Materials Science · Cellular Mechanics and Interactions · Cell Image Analysis Techniques
