Marco Boscherini
Low-cost Neuronal Network Electronic Readout Circuit for Micro-Graphitic Diamond Multi-Electrode Arrays.
Rel. Danilo Demarchi, Alessandro Sanginario. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2022
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (13MB) | Preview |
Abstract
The development of advanced microelectrode array (MEA) technology interfaced with low-noise high-gain conditioning circuits is crucial for evaluating the electrophysiological properties of neurons. The simultaneous and parallel access to the activity of a large population of neurons within a network aids the investigation of information processing and learning aspects of neural behavior. This project presents an early-stage design phase of a low-cost electronic readout circuit interfaced with Micro-Graphitic Diamond Multi-Electrode Arrays (µG-D-MEAs), for the real-time monitoring of the activity of cultured neurons in a potentiometric configuration. The developed Analog Front-End (AFE) is a single-channel device consisting of multiple amplifying and filtering stages.
The input signal’s amplitude is of the order of tens of µV, thus the AFE has been designed to have a high gain and match the very low noise requirements imposed by the neuronal cell cultures
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
