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.

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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

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article

Kamome: A 3D-printable Sample Positioning and Scanning System for Autonomous Characterization

Shijing Sun, Hang Yin, Zuyang Ye, Clara Tamura
3 links
Journal of Open Hardware
Robotics and Sensor-Based Localization
article

Kamome: A 3D-printable Sample Positioning and Scanning System for Autonomous Characterization

Shijing Sun, Hang Yin, Zuyang Ye, Clara Tamura
article en

Abstract

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.

Journal of Open HardwareVol. 9(1)
University of Washington (US)
University of Washington
Openalex Percentile: Top 67%
Robotics and Sensor-Based Localization
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