Scientists in the Neuroimmunology Lab of Dr. David A. Hafler at Yale School of Medicine are using automated cell counting to increase throughput and enhance cell-based experiments that are providing key insights into the cells responsible for autoimmune neurological diseases. The Hafler Lab use the LUNA-FX7™ Automated Cell Counter by Logos Biosystems for all of its cell counting needs.
Seongwan Jo, an assistant researcher at Logos Biosystems, explores the importance of accurate nuclei assessment for downstream applications like single cell genomics research. The article highlights the rise of single cell sequencing, enabling the analysis of cellular mechanisms at the genomic level. Jo emphasizes the necessity of high-quality single cell nuclei samples for successful outcomes, emphasizing the role of automated cell and nuclei counting methods in ensuring reliable downstream workflows. The LUNA series of automated cell counters, including the LUNA-FL™ and LUNA-FX7™, are recommended for their ability to deliver dependable cell size measurements and quantify nuclei accurately. Jo provides insights into optimizing fluorescent dye combinations for nuclei assessment, suggesting the Acridine orange (AO)/Propidium Iodide (PI) combination as the most effective.
Research in the neurodegenerative sciences requires complex and advanced methods, especially when the focus is on something as sensitive as ocular tissues. Advanced techniques are required that can aid in the capture of fine details in neural tissues, and techniques that can accurately study changes within them. One such valuable tool is the X-Clarity™ Tissue Clearing Systems and Reagents by Logos Biosystems.
Macrogen, Inc. is a leading expert in genomic analysis, proactively seeking to improve the fields of genetic and genomic analyses through research and development. To further this mission, Macrogen is working to identify the causal genes for rare diseases with a view to building a big data system that brings together patient genomic and medical data. Using this integrated database, the team aims to help predict disease onset and prognosis, and innovate personalized medicines at an individual level.
We use many different kinds of models for studying spinal cord injury. We have projects that look at the mechanism of locomotion and how to restore this mechanism after an injury. The X-CLARITY system helps us understand how the network reorganizes after injury. The X-CLARITY allows you to visualize and follow the course of an axon coming from the motor cortex, coming down to the lumbar spinal cord. You can visualize, in 3D, the course of single or several axons when they go around the lesion for example. This is extremely useful for our work, to see how a network gets reorganized after an injury.
Single-cell multi-omics analysis takes multiple measures from the same individual cell, which provides a more comprehensive picture of cellular diversity and heterogeneity than traditional methods. This approach can also be applied to uncover the molecular mechanisms underlying disease-related processes and reveal new diagnostic markers and therapeutic targets.
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