Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation

An inexpensive single-arm robot is widely utilized for recent laboratory automation solutions. The integration of a single-arm robot as a transfer system into a semi-automatic liquid dispenser without a transfer system can be realized as an inexpensive alternative to a fully automated liquid handling system. However, there has been no quantitative investigation of the positional accuracy of robot arms required to transfer microplates. In this study, we constructed a platform comprising aluminum frames and digital gauges to facilitate such measurements. We measured the position repeatability of a robot arm equipped with a custom-made finger by repeatedly transferring microplates. Further, the acceptable misalignment of plate transfer was evaluated by adding an artificial offset to the microplate position using this platform. The results of these experiments are expected to serve as benchmarks for the selection of robot arms for laboratory automation in biology. Furthermore, all information for replicating this device will be made publicly available, thereby allowing many researchers to collaborate and accumulate knowledge, hopefully contributing to advances in this field.

Authors

Institutions

Publication Details

Journal
SLAS TECHNOLOGY
Published
2024-10-11
DOI
https://doi.org/10.1016/j.slast.2024.100200
Citations
5
Primary Topic
Mechatronics Education and Applications
Type
article
Field-Weighted Citation Impact
1.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation

Yoritaka Harazono, Takaaki Horinouchi, Haruko Shimono, Kikumi Hata et al.
5 citations
SLAS TECHNOLOGY
Mechatronics Education and Applications
1.06
article

Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation

Yoritaka Harazono, Takaaki Horinouchi, Haruko Shimono, Kikumi Hata, Toutai Mitsuyama
article en
5 citations

Abstract

An inexpensive single-arm robot is widely utilized for recent laboratory automation solutions. The integration of a single-arm robot as a transfer system into a semi-automatic liquid dispenser without a transfer system can be realized as an inexpensive alternative to a fully automated liquid handling system. However, there has been no quantitative investigation of the positional accuracy of robot arms required to transfer microplates. In this study, we constructed a platform comprising aluminum frames and digital gauges to facilitate such measurements. We measured the position repeatability of a robot arm equipped with a custom-made finger by repeatedly transferring microplates. Further, the acceptable misalignment of plate transfer was evaluated by adding an artificial offset to the microplate position using this platform. The results of these experiments are expected to serve as benchmarks for the selection of robot arms for laboratory automation in biology. Furthermore, all information for replicating this device will be made publicly available, thereby allowing many researchers to collaborate and accumulate knowledge, hopefully contributing to advances in this field.

SLAS TECHNOLOGYVol. 29(6)
RIKEN Center for Biosystems Dynamics Research (JP), National Institute of Advanced Industrial Science and Technology (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science, Core Research for Evolutional Science and Technology, JST-Mirai Program
Affordable and clean energy
Openalex Percentile: Top 26%
Mechatronics Education and Applications
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.