AI-Assisted Nanomechanical AFM Analysis in a Multi-Compartment Environment
Dissecting Integrin-Mediated ECM-Sensing using AFM-based SCFS
Watch this on-demand webinar with special guest speaker Dr. Upnishad Sharma, ETH Zurich, on the AI-Assisted Analysis of the Nanomechanical Properties of Biological Samples in a Multi-Compartment Environment using AFM.
Discover next-generation capabilities:
- Autonomous AI-guided operation and advanced machine-learning capabilities for the automated identification and measurement of sample features
- Seamless integration with advanced optical microscopy
- Study living cells, tissues, 3d cell structures, and organoids under near-native conditions
Abstract
Integrins are transmembrane heterodimeric receptors essential for transducing internal/external forces across the plasma membrane. It remains to be understood how this ECM-mechanosensing is initiated during the early phases of cell adhesion. Which mechanotransduction pathways are selectively engaged to aid the early ECM-mechanosensing also remain poorly understood. In this talk, Dr. Sharma shall discuss work from his lab that has been crucial for understanding integrin-mediated mechanosensing for various integrin-ligand pairs. He shall also highlight how AFM-based SCFS enables the study of integrins, synergy between different integrins, and their role in mediating early mechanosensing of various environmental cues.
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Guest Speaker
Dr. Upnishad Sharma, Dpt. of Biosystems Science and Engineering, ETH Zurich, Switzerland
Dr. Upnishad Sharma, a Postdoctoral researcher in the lab of Prof. Daniel Mueller at the Department of Biosystems Science and Engineering, ETH Zurich, completed his PhD at ETH Zurich in 2024 and Masters in Life Sciences between University of Mumbai and EMBL-Rome in 2018. Previously, he worked in the field of epigenetics and cell biology. Currently, his interests lie in the biophysical aspects of integrin mediated mechanotransduction during development and disease).