MaxWell Past Webinars

Speaker

Silvia Ronchi
Doctorate Student at ETH Zürich

Abstract:

Recent advances in the field of cellular reprogramming have opened a route to study the fundamental mechanisms underlying common neurological disorders. High-density microelectrode-arrays (HD-MEAs) provide unprecedented means to study neuronal physiology at different scales, ranging from network through single-neuron to subcellular features.

In this webinar, we will:

• Introduce how HD-MEAs was used to characterize and compare human induced-pluripotent-stem-cell (iPSC)-derived dopaminergic and motor neurons, including isogenic neuronal lines modeling Parkinson’s disease and amyotrophic lateral sclerosis in-vitro.
• Present the metrics used for phenotype characterization and drug testing.
• Demonstrate the ability to detect drug effects with HD-MEA.

Abstract

Human organoids that originate from human induced pluripotent stem cells (h-iPSCs) are emerging as promising tools for investigating development and disease progression. In order to adopt human organoids for rapid and cost-effective drug screenings, it is necessary to assess their cell type composition, gene expression patterns and physiological function. The electrical activity of brain, retina or muscle organoids can now be easily captured, label-free, at single-cell resolution by using MaxWell Biosystems’ high-density microelectrode array (HD-MEA) technology.

In this webinar, the speakers will:

• Introduce high-resolution functional imaging of organoids with the MaxTwo HD-MEA platform
• Present results from organoids modeling different brain compartments
• Demonstrate the potential of HD-MEA technology for characterizing the physiological function of human brain organoids and for testing compounds.

Abstract

The high-density microelectrode arrays (HD-MEAs) high-content electrophysiology platforms MaxOne and MaxTwo allow label-free recording and stimulation of every active cell on a dish at unprecedented spatio-temporal resolution.

A powerful and easy-to-use software interface is key to reveal the full potential of this technology. MaxLab Live is an all-in-one software for live visualization, recording, and analysis of extracellular HD-MEA signals from different biological preparations.

In this webinar, the speakers will:

• Introduce you to the MaxLab Live Software and User Interface
• Show how to get the visualization of your data in real-time at the level you need – from whole sample network to sub-cellular activity
• Present how to run standardized and repeatable experiments with MaxLab Live Assays

Abstract

Genetic diseases of the human retina cause visual impairment to millions of people worldwide. The retina is a well characterized tissue at the back of the eye, and is a potential target for visual restoration therapies. The efficacy of these therapies can now be easily assessed using high-density microelectrode arrays (HD-MEA). In addition, HD­­-MEA technology can also be used to assess disease phenotypes, as well as other aspects of visual processing and development.

This webinar will include the following:

• Introduction to different analyses of retinal function using HD-MEAs
• Showcase of how HD-MEAs can contribute to visual restoration therapies
• Presentation of a case study involving FRMD7, a defective gene in human congenital nystagmus

Abstract

Recent developments in induced pluripotent stem cell (iPSC) technology have enabled easier access to human cells in vitro. With increasing availability of human iPSC-derived neurons, both healthy and disease cell lines, screening compounds for neurodegenerative diseases on human cells can potentially be performed in the earlier stages of drug discovery. To accelerate the functional characterization of iPSC-derived neurons and the effect of compounds, reproducible and relevant results are necessary.

In this webinar, the speakers will:

• Introduce high-resolution functional imaging of human iPSC-derived neurons
• Showcase how to extract functional features of hundreds of cells in a cell culture sample label-free
• Discuss electrophysiological parameters for characterizing the differences among several human neuronal cell lines