TopoStats and AFMDB – an open source toolkit for the analysis and sharing of Atomic Force Microscopy datasets - PSDI webinar

The Physical Sciences Data Infrastructure (PSDI) aims to accelerate research in the physical sciences by providing a data infrastructure that brings together and builds upon the various data systems researchers currently use. Our webinar series provide updates on our exploratory pathfinder work, and on relevant tools and technologies that have been developed by members of our community.

PSDI is pleased to launch a new webinar series entitled “From Project to Platform: New Resources on PSDI”. This series aims to showcase the high-quality tools and resources developed through the funding call 2025 and other PSDI collaborators, introduce them to a broader community, and foster engagement with relevant user groups. 

This record contains a more detailed version of the presentation "TopoStats and AFMDB – an open source toolkit for the analysis and sharing of Atomic Force Microscopy datasets" on 22nd October 2026. 

Atomic Force Microscopy (AFM) generates rich nanoscale data, yet quantitative analysis and large-scale reproducibility remain significant challenges. Dr Thomas Catley explored how a new FAIR and open-source ecosystem combining AFM Reader, TopoStats, and AFMDB is transforming AFM from a largely image-based technique into a quantitative, data-driven platform that supports open science, machine learning, and next-generation AI-enabled discovery.