Latest App Notes & Case Studies

This application note showcases the use of label-free imaging techniques for live-cell analysis of neuron culture outgrowth in an iPSC-derived glutamatergic cell model.

In this application note, researchers from Medicines Discovery Catapult (MDC) evaluated the suitability of iPSC-derived microglia as a model for studying the mechanics of microglia activation, shedding light on their role in neurodegeneration and the potential for therapeutic targets.

This app note explores the use of human iPSC-derived microglial cells as a more reliable model for neurobiological drug development.

This application note introduces an automated solution for flexible and sensitive multichannel analysis of neurite outgrowth for high-throughput assays.

Delve into this case study to explore how a research lab at King’s College London used hiPSC-derived neurons to shed light on synaptic biology and potential treatments for psychiatric conditions.

This app note delves into the role of TDP-43 protein aggregates in the disease's progression. Charles River Laboratories and bit.bio present a breakthrough in ALS research with genetically matched ioGlutamatergic Neurons, providing a crucial in vitro model.

This app note highlights a highly sensitive method developed for the detection of GalSPH and GluSPH in CSF.

Studying DNA methylation at correlated gene regions can provide researchers with insights into disease-associated epigenetic variation. Hence, cost-effective sequencing is essential for our advancement and understanding of epigenetic epidemiology.

There is currently no effective cure or treatment to slow down or stop the progression of Huntington's disease (HD). One reason for this is the lack of accurate and easy-to-use HD models.

Single cell analysis in a spatially resolved context is the gateway to deciphering scientific questions in various application areas. Such analysis requires the highest available spatial precision combined with highly sensitive detection.