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Latest App Notes & Case Studies

Neuro Research
App Note / Case Study

Speeding Up Neuroscience Research

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.
Neuro Program
App Note / Case Study

Precision Reprogrammed iPSC Models for High-Throughput Drug Discovery

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.
Sensitive Bioanalysis of Biomarkers in Cerebral Spinal Fluid
App Note / Case Study

Enhancement of Sensitive Bioanalysis of Biomarkers in Cerebral Spinal Fluid

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

Detecting Systemic Interindividual Epigenetic Variation content piece image
App Note / Case Study

Detecting Systemic Interindividual Epigenetic Variation

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.
Developing Next-Generation <i>In Vitro</i> Phenotypic Assays for Huntington’s Disease content piece image
App Note / Case Study

Developing Next-Generation In Vitro Phenotypic Assays for Huntington’s Disease

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.
Progress Towards Out-of-the-Box Sub-Cellular Imaging content piece image
App Note / Case Study

Progress Towards Out-of-the-Box Sub-Cellular Imaging

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.
Novel Aggregation-Specific Fluorogen Monitors Prefibrillar Protein Aggregation by Fluorescence Polarization content piece image
App Note / Case Study

Novel Aggregation-Specific Fluorogen Monitors Prefibrillar Protein Aggregation by Fluorescence Polarization

Highly ordered protein aggregates, termed amyloid fibrils, are associated with a broad range of diseases, many of which are neurodegenerative for example Alzheimer’s and Parkinson’s. The transition from soluble, functional protein to insoluble amyloid fibril occurs via a complex process involving the initial generation of highly dynamic early stage aggregates or prefibrillar species.
Accurately Analyze Fluorescent Widefield Images content piece image
App Note / Case Study

Accurately Analyze Fluorescent Widefield Images

The specificity of fluorescence microscopy allows researchers to accurately observe and analyze biological processes and structures quickly and easily, even when using thick or large samples. However, out-of-focus fluorescence increases background, reduces contrast and makes accurate image segmentation more challenging.
Resolving Brain Architecture With Comprehensive Spatial Gene Expression content piece image
App Note / Case Study

Resolving Brain Architecture With Comprehensive Spatial Gene Expression

Spatially resolved gene expression can provide a powerful complement to traditional histopathology methods, enabling a greater understanding of cellular heterogeneity and organization within the central nervous system.
Imaging Organoids With Light-Sheet Fluorescence Microscopy content piece image
App Note / Case Study

Imaging Organoids With Light-Sheet Fluorescence Microscopy

Studying tissue and organ biology is challenging, particularly in mammals, given sample accessibility and ethical concerns. However, the use of organoids alleviates these challenges, supporting researchers in exploring questions that previously could not have been investigated without them.
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