Disease Modeling

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Disease modeling with in vitro cellular systems enables researchers to recreate and study the mechanisms underlying neurological disorders in controlled experimental settings. In neuroscience and stem cell biology, this typically involves patient-derived or genetically modified neuronal models to capture key features of disease at molecular, cellular, and network levels. These models can reveal pathological changes in excitability, synaptic transmission, and network dynamics, which are often linked to specific genetic mutations or environmental insults. By reproducing disease-relevant functional and structural abnormalities, in vitro systems provide a powerful platform for dissecting disease mechanisms, identifying biomarkers, and testing candidate therapeutics. When combined with electrophysiology, imaging, and multi-omics approaches, disease modeling offers deep insight into how dysfunction emerges and progresses in the nervous system.

MaxWell Biosystems’ HD-MEA platforms bring powerful capabilities to in vitro disease modeling by enabling detailed, label-free recordings of pathological activity across single cells and networks. With unmatched signal fidelity and resolution, researchers can detect subtle dysfunctions, quantify altered phenotypes, and track disease progression or rescue effects over time. This enables researchers to link cellular dysfunction to disease mechanisms and establish in vitro assays for testing therapeutic strategies in a human-relevant context.

Reveal the functional signature of disease

Our Technology

Reliable disease signatures through high reproducibility

Disease models often display variable phenotypes across cell lines or mutations. Reproducible network activity across wells and timepoints helps distinguish true pathological features from noise or sampling artifacts, providing reliable insight into disease-related dysfunction.

Uncover how disease alters axonal function

Many neurological disorders involve impaired signal transmission and disrupted connectivity. High-resolution axon tracking reveals changes in conduction velocity and axonal morphology, helping researchers identify functional connectivity deficits and altered axonal growth linked to disease pathology.

Detect subtle signs of dysfunction early

Disease phenotypes may appear as subtle changes in spiking, network behavior, or excitability. Sensitive detection of low-amplitude and sparse signals enables identification of early-stage dysfunction, even before noticeable degeneration or structural changes emerge.

Scale up your disease model studies

Studying multiple patient-derived lines or disease conditions requires high-throughput, consistent analysis. Our automation-ready HD-MEA platforms ensure robust data acquisition and processing across wells and timepoints, enabling efficient screening of phenotypes and therapeutic responses.

Functional characterization of an in vitro model for amyotrophic lateral sclerosis

This case study demonstrates the multifaceted functional characterization of iPSC-derived ALS disease models over a four-week period using the MaxTwo system. The findings show that the ALS models exhibit significantly lower network activity and reduced axon development compared to the control.

Functional characterization of an in vitro model for huntington disease

This case study leverages the high spatial resolution of MaxTwo and the AxonTracking Assay to monitor axonal growth. The study compares ioGlutamatergic neurons from healthy and Huntington's disease model cell lines. Results revealed increased axonal branching in the wild-type cells compared to the disease model.

Functional profiling of human iPSC-derived frontotemporal dementia neurons

This case study presents a detailed analysis of subcellular phenotypes and network dysfunction in human iPSC-derived neurons modeling frontotemporal dementia. This figure shows that diseased neurons exhibited less structured and shorter axons compared to healthy neurons, suggesting impaired network dynamics in the frontotemporal dementia model.

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