Biofoundry Architect 1.0: A Robot-Assisted Module Configurator and Workflow Designer with Hub Interoperability and Throughput-Workflow Economic Evaluation

Abstract Laboratory automation has rapidly advanced across chemistry, materials science, and the life sciences, enabling high-throughput and predictive experimentation. In synthetic biology, biofoundries facilitate Design−Build−Test−Learn cycles through automated workflows but remain limited by software tools lacking integration and throughput-workflow economic evaluation. Here, we present Biofoundry Architect 1.0, an open, web-based platform for designing, evaluating, and comparing automated workflows using robot-assisted modules (RAMs). The system enables quantitative assessment of performance metrics, including the turnaround time and cost, while ensuring workflow compatibility and scalability. By supporting modular design, interoperability, and community-based sharing of workflows, Biofoundry Architect bridges the gap between planning and execution, improving efficiency, accessibility, and collaborative innovation in laboratory automation. This web-based Biofoundry Architect software can be viewed at https://biofoundry-architect.streamlit.app/, and all code is released under the license GNU General Public License version 3.

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Publication Details

Journal
ACS Synthetic Biology
Published
2026-08-20
DOI
https://doi.org/10.1021/acssynbio.6c00456
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Biofoundry Architect 1.0: A Robot-Assisted Module Configurator and Workflow Designer with Hub Interoperability and Throughput-Workflow Economic Evaluation

Han Min Woo, Yu Been Heo, Jun Sung Park
ACS Synthetic Biology
Machine Learning in Materials Science
article

Biofoundry Architect 1.0: A Robot-Assisted Module Configurator and Workflow Designer with Hub Interoperability and Throughput-Workflow Economic Evaluation

Han Min Woo, Yu Been Heo, Jun Sung Park
article en

Abstract

Abstract Laboratory automation has rapidly advanced across chemistry, materials science, and the life sciences, enabling high-throughput and predictive experimentation. In synthetic biology, biofoundries facilitate Design−Build−Test−Learn cycles through automated workflows but remain limited by software tools lacking integration and throughput-workflow economic evaluation. Here, we present Biofoundry Architect 1.0, an open, web-based platform for designing, evaluating, and comparing automated workflows using robot-assisted modules (RAMs). The system enables quantitative assessment of performance metrics, including the turnaround time and cost, while ensuring workflow compatibility and scalability. By supporting modular design, interoperability, and community-based sharing of workflows, Biofoundry Architect bridges the gap between planning and execution, improving efficiency, accessibility, and collaborative innovation in laboratory automation. This web-based Biofoundry Architect software can be viewed at https://biofoundry-architect.streamlit.app/, and all code is released under the license GNU General Public License version 3.

ACS Synthetic Biology
Sungkyunkwan University (KR)
National Research Foundation of Korea
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Machine Learning in Materials Science
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Biofoundry Architect 1.0: A Robot-Assisted Module Configurator and Workflow Designer with Hub Interoperability and Throughput-Workflow Economic Evaluation — Han Min Woo, Yu Been Heo, et al. · ACS Synthetic Biology (2026) | TGRS Research Map | TGRS