Atomic Force Microscopy Webinars

AFM Applications in Biomedical Research and Applications

Hear from our guest speakers about their work, using AFM for biomechanics, and how AFM technology impacts popular fields of biomedical research

The development of advanced targeted diagnostics and therapies often relies on single-cell- and single-molecule-level nanomechanical property investigation.

This webinar explores how AFM technology contributes to biomedical research by enabling the characterization of the nanomechanical properties of molecules, cells, and tissues as well as the visualization of structural changes taking place at the molecular level.


Find out more about the technology in this webinar or our other solutions for biomedical research:

Recorded on December 15, 2021

Program Overview

Explore the advanced characterization techniques  enabling researchers to gain a better understanding of the biophysical and mechanical properties of biological materials

These include:

  • Examination of the morphological and mechanical properties;
  • Collection of adhesion measurements, including the work and force necessary for cell-cell detachment; and
  • Using AFM technology as a tool for clinical prognosis.


The Impact of Drug Resistance on Ovarian Cancer Spheroids - Insights from the Biomechanical Phenotype

Lydia Powell, Ph.D.
CEAT, Swansea University Medical School

The presentation details the development of 3D spheroid specific image and force analysis in the research programme of the Cluster for Epigenomic and Antibody Drug Conjugate Therapeutics (CEAT) at Swansea University’s Medical School, Wales.


AFM-based Assessment of Cardiovascular Risk

Nuno C. Santos, Ph.D.
Institute of Molecular Medicine
Faculty of Medicine, University of Lisbon

This presentation explores how AFM can be used to better understand how fibrinogen-erythrocyte binding influences erythrocyte aggregation and how it constitutes a cardiovascular risk factor in different cardiovascular diseases.


With introduction, Q&A, and conclusion led by Carmen Pettersson, Marcom Manager, Bruker EMEA.

Lydia Powell, Ph.D., Swansea University Medical School, Wales, UK

Dr. Lydia Powell is a senior post-doctoral researcher, operating at the interface between life sciences and engineering. Having originally graduated in chemical engineering, Lydia then developed expertise in advanced characterization techniques to understand the biophysical and mechanical properties of complex 3D multicellular aggregates. Using multi-disciplinary approaches, Lydia’s research has provided pivotal understanding in this area that has been translated into the design and delivery of new therapies for cystic fibrosis and chronic wound bacterial biofilm-related infections, in collaboration with industry (AlgiPharma AS and Qbiotics).

In 2018, Lydia moved to Swansea University Medical School to accelerate her translational post-doctoral research as part of the CEAT project. Lydia is currently developing advanced bio-AFM-based analysis approaches to complement epigenetic drug and antibody therapeutic platform development, alongside a host of national and multinational industry partners.

Her research interests are at the interface of cellular biophysics, mechanobiology, computer vision, and machine learning, with the strong aim of furthering the understanding of the biological processes involved in physiology and disease.

The research carried out in her lab focuses on the cell's cytoskeleton, and in particular, the characterization of its organization and mechanical properties. To do so, her lab uses a broad cellular biophysics toolbox, which includes Atomic Force Microscopy, Traction Force Microscopy, high-throughput imaging, advanced image quantification pipelines and machine learning methods.

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Discover how AFM technology provides answers to critical questions in biomedicine.

Viewers can expect to:

  • Gain new insight into leading-edge AFM-based biomedical research;
  • Learn how innovation in AFM technology and techniques creates new opportunities in both laboratory and clinical settings;
  • Apply AFM capabilities and findings to real-world questions in biomedicine; and
  • Understand the role of AFM in multi-disciplinary approaches to solving them.


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