afspm: A framework for manufacturer-agnostic automation in scanning probe microscopy

Scanning probe microscopy (SPM) is a valuable technique by which one can investigate the physical characteristics of the surfaces of materials. However, its throughput is hampered by the time-consuming nature of running an experiment and the significant domain knowledge required. Recent studies have shown the value of multiple forms of automation in improving this, but their use is limited due to the difficulty of integrating them with SPMs other than the one it was developed for. We have built a framework that allows for tasks written with it to be run on multiple SPM systems. Our framework defines generic commands and data structures that are passed among separate software processes, with the final SPM commands sent to the microscope after passing through an SPM-specific translator. The use of configuration files allows automation logic to be further decoupled from experiment specifics. A mediation layer permits background tasks to intermittently control the microscope, fixing detected experiment problems. Our framework has been tested on various SPM controllers, validating that it can integrate with all existing scripting interfaces types. An automated experiment was run to ensure overall running beyond integration testing.

Authors

Publication Details

Journal
Beilstein Journal of Nanotechnology
Published
2026-05-18
DOI
https://doi.org/10.3762/bjnano.17.45
Primary Topic
Force Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

afspm: A framework for manufacturer-agnostic automation in scanning probe microscopy

Julio J. Valdés, Kirk H. Bevan, Peter Grütter, Nicholas J. Sullivan
Beilstein Journal of Nanotechnology
Force Microscopy Techniques and Applications
article

afspm: A framework for manufacturer-agnostic automation in scanning probe microscopy

Julio J. Valdés, Kirk H. Bevan, Peter Grütter, Nicholas J. Sullivan
article en

Abstract

Scanning probe microscopy (SPM) is a valuable technique by which one can investigate the physical characteristics of the surfaces of materials. However, its throughput is hampered by the time-consuming nature of running an experiment and the significant domain knowledge required. Recent studies have shown the value of multiple forms of automation in improving this, but their use is limited due to the difficulty of integrating them with SPMs other than the one it was developed for. We have built a framework that allows for tasks written with it to be run on multiple SPM systems. Our framework defines generic commands and data structures that are passed among separate software processes, with the final SPM commands sent to the microscope after passing through an SPM-specific translator. The use of configuration files allows automation logic to be further decoupled from experiment specifics. A mediation layer permits background tasks to intermittently control the microscope, fixing detected experiment problems. Our framework has been tested on various SPM controllers, validating that it can integrate with all existing scripting interfaces types. An automated experiment was run to ensure overall running beyond integration testing.

Beilstein Journal of NanotechnologyVol. 17
McGill University, Natural Sciences and Engineering Research Council of Canada, National Research Council Canada
Openalex Percentile: Top 98%
Force Microscopy Techniques and Applications
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.