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DTSTART;TZID=Atlantic/Azores:20261022T140000
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UID:37802-1792677600-1792681200@www.psdi.ac.uk
SUMMARY:Webinar: From Project to Platform: New Resources on PSDI – Session 6
DESCRIPTION:Registration link: https://us06web.zoom.us/webinar/register/WN_6Y8kFYYFQyOv5i5J9Qxx_A \nPSDI 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\, introduce them to a broader community\, and foster engagement with relevant user groups.   \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Abstract\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				TopoStats and AFMDB – an open source toolkit for the analysis and sharing of Atomic Force Microscopy datasets.\n			\n				\n				\n				\n				\n				Challenge\n			\n				\n				\n				\n				\n				\n\n\nAFM generates rich multimodal nanoscale data without the need for labelling or vacuum environments.\nQuantitative analysis has historically been limited by manual\, non-standardised\, and difficult-to-reproduce workflows.\nLimited availability of automated analytical tools and machine learning integration has restricted large-scale\, data-driven AFM research.\n\n\n\n			\n				\n				\n				\n				\n				Approach\n			\n				\n				\n				\n				\n				\n\n\nAFM Reader\n\nFAIR open-source utility for standardised access to AFM datasets across multiple instrument formats.\nSimplifies data loading and improves interoperability between datasets.\n\n\nTopoStats\n\nFAIR open-source Python pipeline for data cleaning\, processing\, feature identification\, and instance segmentation.\nSupports automated batch analysis\, enabling robust and repeatable quantitative measurements.\n\n\nAFMDB\n\nOpen repository linking raw AFM files (.spm\, .jpk\, .asd\, .ibw\, etc.) with processed outputs.\nPromotes open data practices and long-term reuse of AFM datasets.\n\n\n\n\n\n			\n				\n				\n				\n				\n				Innovation\n			\n				\n				\n				\n				\n				\n\n\nEnables scalable\, fully quantitative\, and reproducible AFM data analysis through an integrated open-source ecosystem.\nCombines data access\, automated image analysis\, and data management within a FAIR framework.\nCreates a growing repository of curated AFM datasets that:\n\nfacilitates data sharing and community benchmarking;\nsupports the training and validation of machine learning and deep learning models;\naccelerates the development of next-generation AI-enabled AFM analysis tools.\n\n\n\n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Dr Thomas Catley is a Research Associate in Single Molecule Microscopy and DNA Biophysics at the University of Sheffield. His research uses experimental and computational approaches to understand the structure and dynamics of DNA-protein interactions. Tom is currently leading a collaboration with PSDI to develop TopoStats capabilities for materials science applications\, alongside AFMDB. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Register for this webinar\nRegister for this webinar directly through zoom:https://us06web.zoom.us/webinar/register/WN_6Y8kFYYFQyOv5i5J9Qxx_A \n			\n				\n				\n				\n				\n				The PSDI team looks forward to seeing you at the webinar\, if you have any questions you can always get in contact with us.
URL:https://www.psdi.ac.uk/event/new-resources-webinar-6/
LOCATION:Online\, Virtual Event\, Online
CATEGORIES:Webinar
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