Justus Bednár

ORCID: 0000-0003-4805-1133
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neural Engineering
  • Advanced biosensing and bioanalysis techniques
  • Biosensors and Analytical Detection
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Digital Imaging for Blood Diseases
  • SARS-CoV-2 detection and testing
  • Malaria Research and Control

Forschungszentrum Jülich
2022-2024

RWTH Aachen University
2022-2024

Abstract The further development of neurochips requires high‐density and high‐resolution recordings that also allow neuronal signals to be observed over a long period time. Expanding fields network neuroscience neuromorphic engineering demand the multiparallel direct estimations synaptic weights, key objective is construct device records subthreshold events. Recently, 3D nanostructures with high aspect ratio have become particularly suitable interface between neurons electronic devices,...

10.1002/smll.202200053 article EN cc-by-nc-nd Small 2022-05-08

In this work, we combined plasmon-enhanced fluorescence and electrochemical (PEF-EC) transduction mechanisms to realize a highly sensitive dual-transducer aptasensor. To implement two traducers in one biosensor, novel large-scale nanoimprint lithography process was introduced fabricate gold nanopit arrays (AuNpA) with unique fringe structures. Light transmitting through the AuNpA samples exhibited surface plasmon polariton peak overlapping excitation of C7 aptamer-associated fluorophore...

10.1016/j.talanta.2024.126760 article EN cc-by-nc-nd Talanta 2024-08-26

<i>Plasmodium falciparum</i> and vivax</i> species are associated for malarial infections primarily in south-African south-Asian sub-continents respectively. In this work we extract the refractive index of whole blood (WB) infected with or species. Surface plasmon microscopy is used extraction WB. We conclude that intrinsic physical parameters, such as index, can be a quantitative label-free estimator detection different plasmodium varying densities human

10.1117/12.3017053 article EN 2024-06-20
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