output
20102024
most citedStress relaxation and creep experiments with the atomic force microscope: a unified method to calculate elastic moduli and viscosities of biomaterials (and cells)

145 citations

5 papers

cond-mat.mes-hall2024★ 74 cited

Configuration of the magnetosome chain: a natural magnetic nanoarchitecture

I. Orue, L. Marcano, P. Bender +10

Magnetospirillum gryphiswaldense is a microorganism with the ability to biomineralize magnetite nanoparticles, called magnetosomes, and arrange them into a chain that behaves like…

cs.LG2020

New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data

Eric L. Manibardo, Ibai Laña, Jesus L. Lobo +1

This work focuses on classification over time series data. When a time series is generated by non-stationary phenomena, the pattern relating the series with the class to be predict…

cs.LG2020★ 1 cited

Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples

Alejandro Barredo-Arrieta, Javier Del Ser

The last decade has witnessed the proliferation of Deep Learning models in many applications, achieving unrivaled levels of predictive performance. Unfortunately, the black-box nat…

physics.bio-ph2016★ 29 cited

Identification of a membrane-bound prepore species clarifies the lytic mechanism of actinoporins

Koldo Morante, Augusto Bellomio, David Gil-Cartón +7

Pore-forming toxins (PFT) are cytolytic proteins belonging to the molecular warfare apparatus of living organisms. The assembly of the functional transmembrane pore requires severa…

physics.bio-ph2010★ 145 cited

Stress relaxation and creep experiments with the atomic force microscope: a unified method to calculate elastic moduli and viscosities of biomaterials (and cells)

Susana Moreno-Flores, Rafael Benitez, Maria dM Vivanco +1

We show that the atomic force microscope can perform stress relaxation and creep compliance measurements on living cells. We propose a method to obtain the mechanical properties of…