Publications de Navid Asmari Saadabad

Interface flexibility controls the nucleation and growth of supramolecular networks

Georg Fantner, Maartje Martina Cornelia Bastings, Navid Asmari Saadabad, Cem Tekin, Veronika Cencen, Vincenzo Caroprese

Supramolecular networks are abundantly present in nature and, like crystalline materials, often develop from an initial nucleation site, followed by growth based on directional interactions between components. Traditionally, the binding strength and direct ...

2025

A hermetically closed sample chamber enables time-lapse nano-characterization of pathogenic microorganisms in vitro

Georg Fantner, John McKinney, Navid Asmari Saadabad, Santiago Harald Andany

Pathogenic microorganisms, such as pathogenic mycobacteria, pose a global health burden. Studying these organisms is crucial for gaining detailed knowledge about the pathogens and the diseases they cause. To handle pathogenic organisms, specific biosafety ...

ROYAL SOC CHEMISTRY2025

Antimicrobial peptides selectively target malaria parasites by a cholesterol-dependent mechanism

Georg Fantner, Marcos Penedo Garcia, Navid Asmari Saadabad

Hundreds of thousands die annually from malaria caused by Plasmodium falciparum (Pf), with the emergence of drug-resistant parasites hindering eradication efforts. Antimicrobial peptides (AMPs) are known for their ability to disrupt pathogen membranes with ...

2025

Enhanced feedback performance in off-resonance AFM modes through pulse train sampling

Georg Fantner, Marcos Penedo Garcia, Navid Asmari Saadabad, Santiago Harald Andany, Mustafa Kangül

Dynamic atomic force microscopy (AFM) modes that operate at frequencies far away from the resonance frequency of the cantilever (off-resonance tapping (ORT) modes) can provide high-resolution imaging of a wide range of sample types, including biological sa ...

Beilstein-Institut2024

Data-Driven Methods for Controller Design in Atomic Force Microscopy

Navid Asmari Saadabad

Ever since the advent of Atomic Force Microscope (AFM) the community of its users is expanding which led to a broad spectrum of applications. Most of these applications require AFM instruments with fast, accurate, and reliable performance. The sensors and ...

EPFL2024

Data-Driven Feedforward Hysteresis Compensation with Genetic Algorithm for Atomic Force Microscope

Alireza Karimi, Georg Fantner, Navid Asmari Saadabad, Santiago Harald Andany, Mustafa Kangül

Nonlinear dynamics of piezo actuators such as hysteresis, distort the Atomic Force Microscopy (AFM) images as they adversely affect the accuracy of the nano-positioning setup. To compensate for the effects of hysteresis on lateral scanner actuators of AFM, ...

IEEE2022