Kamome: A 3D-printable Sample Positioning and Scanning System for Autonomous Characterization
Laboratory automation has demonstrated significant potential in accelerating the discovery and optimization of novel materials. However, the lack of low-cost, high-throughput characterization has been a limiting factor in the widespread adoption of autonomous self-driving laboratories. To address the challenges in automating characterization, we developed an open-source 3D-printable robotic framework, capable of precise sample position control to enable high-throughput measurements at a pace up to 4 times greater than manual methods. The system operates on a gantry system that moves the spectrometer probe across the sample plate as the scanning progresses. It is low-cost, easy to construct, and fully compatible with the Opentrons OT-2 liquid handling robot. In addition, we outline potential applications for the system through the characterization of perovskites for photovoltaics and energy-efficient lighting, and discuss challenges in the integration of the device into a completely autonomous materials synthesis and characterization workflow. By facilitating high-throughput characterization through affordable, open-source technologies, this device enables materials researchers to accelerate progress in key areas such as green technology development.
Authors
- Shijing Sun (ORCID: https://orcid.org/0000-0002-6179-1390)
- Hang Yin (ORCID: https://orcid.org/0000-0002-5479-7698)
- Zuyang Ye (ORCID: https://orcid.org/0000-0002-2379-2077)
- Clara Tamura
Institutions
- University of Washington (US)
Publication Details
- Journal
- Journal of Open Hardware
- Published
- 2025-09-09
- DOI
- https://doi.org/10.5206/joh.v9i1.23044
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Washington