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ONLINE NanoAcademy

AFM experts provide you ONLINE courses, easy and comfortable to join from home! FREE access for you to all content: Webinars, Live Demos, Educational Videos, Software Operation, NanoScientific Talk! Microscopy research has never been so easy before!

  • Webinars

    27 Mar 2023


    Atomic Force Microscope (AFM) is an indispensable tool in the field on nanotechnology to map nanometre sized features and physical properties of the sample surface. AFM can be used to image differen ...

Atomic force microscopy (AFM) is an extremely versatile technique enabling the study of different aspects of biological systems with ultra-high resolution. Conventionally, AFM has been used to assess the morphology of living biological systems and to monitor the evolution of their mechanical properties at the nanoscale, which provides information on the cellular structure and stiffness even in living systems. Further applications of AFM for biological matter involve the combination of ultrastructural information with conventional or fluorescence optical microscopy. Correlative analyses via combining advanced AFM with high-magnification optical and fluorescence microscopes allow for a more comprehensive understanding of the cellular status. In this webinar, we will use the Park Systems NX12 AFM coupled with a Nikon fluorescence microscope to perform studies on living biological systems such as erythrocytes and neuroblastomas. By using conventional optical and fluorescence images, we identify cells that are most interesting for our studies. We use the AFM to determine their morphology and mechanical properties at ultra-resolution level, monitoring the response of the cells to environmental conditions such as pharmacological stimuli or starvation. Also, we prove how AFM cantilevers can be used as nanomechanical sensors to provide complementary information on the cellular behavior in different environments. The combined results on neuroblastomas represent the first steps of the COMA-SAN project (COMplexity Analysis in the Simplest Alive Neuronal network), in which we investigate the communication-mediated group behavior of these cells. Overall, our study opens a path to better understand the interactions between cells and to evidence the complexity of group dynamics in cells.