Externally organized talk - The Rising Danger of AI-Generated Images in Nanomaterials Science and What We Can Do About It
Talk externally organized by TRR404
Quinn A. Besford
Functional Polymer Architectures Research Cluster Leader: Bio-Applied Polymers Leibniz-Institut für Polymerforschung Dresden (IPF)

Fri., Jan. 16, 2026, 2 p.m.
This seminar is held in presence and online.
Room: BAR 188
Online: https://tu-dresden.zoom.us/j/87264138030?pwd=WG41dkN6L0NOaXFaaVRORzM3QmdFQT09#success

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Generative AI has made it trivial to generate fake microscopy images that are indistinguishable from real images, even for experts. As researchers in nanoscience, it is time for us to face this reality and discuss strategies to conserve the integrity of our discipline.


Brief CV

Dr. Quinn A. Besford heads the Functional Polymer Architectures group at the Leibniz-Institut für Polymerforschung (IPF) Dresden, Germany. He received his PhD in theoretical/physical chemistry (2016) from The University of Melbourne (UoM), Australia, specialising in statistical mechanics. He subsequently worked with Prof. Frank Caruso in the ARC Centre of Excellence in Bio-Nano Science and Technology at UoM, specialising on the development of new nanomaterials for therapeutic applications. He transitioned to IPF in Germany in 2019 as an Alexander von Humboldt research fellow (Ludwig Leichhardt Memorial Fellowship), before being promoted to Group Leader. His research team focuses on developing functional polymeric materials for sensing, which leverages fluorescence methods, and nanoparticle systems for therapeutic applications, mainly focused on in-blood interactions. His work has been internationally recognised through the 2022 IPF Innovation Award, nomination to the STS Forum in Japan (2023), being named to the journal Matter’s “35 under 35 materials scientists in 2024”, and being selected as one of 15 polymer engineers from Germany to attend the first Japan-Germany Frontiers in Polymer Engineering Symposium as speaker (Tokyo, Japan, 2025).



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Externally organized talk - The Rising Danger of AI-Generated Images in Nanomaterials Science and What We Can Do About It
Talk externally organized by TRR404
Quinn A. Besford
Functional Polymer Architectures Research Cluster Leader: Bio-Applied Polymers Leibniz-Institut für Polymerforschung Dresden (IPF)

Fri., Jan. 16, 2026, 2 p.m.
This seminar is held in presence and online.
Room: BAR 188
Online: https://tu-dresden.zoom.us/j/87264138030?pwd=WG41dkN6L0NOaXFaaVRORzM3QmdFQT09#success

Google Scholar Linkedin


Generative AI has made it trivial to generate fake microscopy images that are indistinguishable from real images, even for experts. As researchers in nanoscience, it is time for us to face this reality and discuss strategies to conserve the integrity of our discipline.


Brief CV

Dr. Quinn A. Besford heads the Functional Polymer Architectures group at the Leibniz-Institut für Polymerforschung (IPF) Dresden, Germany. He received his PhD in theoretical/physical chemistry (2016) from The University of Melbourne (UoM), Australia, specialising in statistical mechanics. He subsequently worked with Prof. Frank Caruso in the ARC Centre of Excellence in Bio-Nano Science and Technology at UoM, specialising on the development of new nanomaterials for therapeutic applications. He transitioned to IPF in Germany in 2019 as an Alexander von Humboldt research fellow (Ludwig Leichhardt Memorial Fellowship), before being promoted to Group Leader. His research team focuses on developing functional polymeric materials for sensing, which leverages fluorescence methods, and nanoparticle systems for therapeutic applications, mainly focused on in-blood interactions. His work has been internationally recognised through the 2022 IPF Innovation Award, nomination to the STS Forum in Japan (2023), being named to the journal Matter’s “35 under 35 materials scientists in 2024”, and being selected as one of 15 polymer engineers from Germany to attend the first Japan-Germany Frontiers in Polymer Engineering Symposium as speaker (Tokyo, Japan, 2025).



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