In this webinar, guest speaker Prof. Ricardo Garcia from ICMM - CSIC in Madrid, a pioneer in the field of AFM and nanomechanics, will speak about his work combining machine learning with AFM-based nanorheology to characterize the viscoelastic behavior of living cells at high speed and nanoscale resolution.
Joerg Barner, Bruker BioAFM, will introduce the new ViscoDirect Software Module, which significantly improves the speed and ease of viscoelastic analysis, simplifying applications, such as mechanical gradient mapping, multiscale characterization of cellular structures, and quantification of time-dependent behaviour and viscoelastic response.
Atomic force microscopy (AFM) is extensively applied to measure the nanomechanical properties of living cells. Despite its popularity, some applications on mechanobiology are limited by the low throughput of the technique. Currently, the analysis of AFM-nanoindentation data is performed by model fitting. Model fitting is slow, data intensive, and prone to error. Herein, a supervised machine learning regressor has been developed for transforming AFM force–distance curves into nanorheological behavior.
The method reduces the computational time required to process the force-volume of a cell, made up of approx. 250,000 curves, from several hours to minutes. In fact, the regressor increases the throughput by 50-fold. The training and the validation of the regressor are performed by using theoretical curves derived from a contact mechanics model that combined power–law rheology with bottom effect corrections and functional data analysis. The regressor predicts the modulus and fluidity coefficient of mammalian cells with a relative error below 4%.
Date: September 16, 2026
Time: 8AM PDT | 11AM EDT | 5PM CEST
Location: Online
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Prof. Ricardo Garcia
Advanced Force Microscopy Methods and Optomechanics, ICMM - CSIC, SpainProf. Garcia applies a combined theoretical and experimental approach to develop advanced force microscopy techniques for the characterization of materials (biomolecules, cells, polymers, semiconductors) in their native environments (air or liquid). His work includes the pioneering development of 3D-AFM, a high-resolution method that characterizes solid-liquid interfaces, biomolecules, and cells. He has made major contributions to the development of advanced AFM methods, multifrequency and bimodal AFM, and tip-based nanolithography. His work has led to valuable scientific insights into the nanomechanical properties of proteins, cells and polymers. He has published over 200 papers in peer reviewed journals, has had numerous patents granted, and received multiple prizes and awards.