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University of Cambridge

Advanced Bioelectronic and Microphysiological Systems for Functional Studies of Stem Cell-Derived Neural Models

Abstract

dc:description.abstract

This thesis presents an integrated bioelectronic and computational framework for functional interrogation of stem cell-derived neural models. Motivated by the staggering failure rate (exceeding 90%) of neurological drug candidates in clinical trials, the work addresses limitations in preclinical modelling by combining advanced microfabrication, flexible electronics, and human-relevant in vitro systems. The research spans: • 2D compartmentalised cultures for studying tauopathy in Alzheimer’s disease using microphysiological and bioelectronic systems; • Air-liquid interface cerebral organoids (ALI-COs), interfaced with Neuroweb, a porous, ultra-flexible microelectrode array enabling chronic electrophysiology; • NeuroMaps, a modular MATLAB-based GUI for multimodal electrophysiological analysis, integrating spike sorting, spectral decomposition, and network mapping across longitudinal measurements. Key findings include: • Material and substrate-related effects on 2D stem-cell-derived neuronal growth. • Tau-induced hyperexcitability and synaptic disruption in iNeuron-astrocyte co-cultures. • Axonal swelling and lysosomal clustering in microfluidic chips following tau exposure. • Stable long-term recordings from ALI-COs, revealing maturation-linked shifts in firing rate, synchrony, and phase-amplitude coupling. • Neuroweb enabled the detection of cross-species differences in signalling using air-liquid interface cerebral organoids and changes in oscillatory activity possibly linked to metabolic recycling. • The development of a full GUI framework for electrophysiological analysis, providing morphological and electrophysiological context to analysis. Together, these platforms advance the field of neuroengineering by enabling scalable, non-invasive, and longitudinal interrogation of complex neural tissues, with implications for disease modelling, drug screening, and personalised medicine.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Haider, Belquis
Advisors dc:contributor.advisor
  • Kaminski Schierle, Gabriele
  • Malliaras, George

Subjects

dc:subject × 13

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
Author Identifier
0009-0005-9440-0842
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/395448

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Haider, Belquis. Advanced Bioelectronic and Microphysiological Systems for Functional Studies of Stem Cell-Derived Neural Models. Doctoral thesis, University of Cambridge, 2025. https://doi.org/10.17863/CAM.124949