Flow cytometry – accelerating neuroscience research

Posted: 18 September 2017 | | No comments yet

Flow cytometry continues to evolve at a fast pace and provides neuroscientists with the ability to perform many highly-specialised assays simultaneously. It meets the demands of cutting-edge research in neuroscience that has allowed researchers to isolate particular neural cells from heterogeneous population and catalogue its molecular or physical features…

With the development of greater throughput and sensitivity, flow cytometry has become a unique tool for characterising surface or internal antigen expression of neural cells, rapid sorting of activated neurons, assessment of neurochemical components, and understanding neural morphology and cell density changes during pathophysiology of neurological disorders.

The continual expansion of flow cytometric techniques to assess intracellular changes within neural cells such as calcium influx, generation of cellular reactive oxygens species, and activation of apoptosis, are allowing this technology to be used in the study of brain disorders. All these approaches are expanding the utility of flow cytometry as a valuable tool for neurological examination to assess the impact of neurological damage towards developing novel therapeutics to treat a neurological disorder.

During the past decade or more, flow cytometry has proven to be one of the most powerful technologies used in research and clinics. It is a premier tool for isolation and enrichment of various cell populations based on their size, granularity and cell surface antigens.1 Flow cytometry has versatile applications in basic research, clinical practice and clinical trials. It has been routinely used in biomedical research, especially in the diagnosis of health disorders.2 Flow cytometers’ analytical capability to rapidly sort and purify a homogenous population of cells/particles of interests based on their optical properties have enabled this technology to hold a unique place among other biomedical technologies. Furthermore, the multiparametric capacity of flow cytometers to simultaneously and quickly collect multiple angles of scatter and different spectral components in large numbers of cells has enabled researchers to rapidly classify each cell into a cluster of similar cells. It is thus possible to discriminate cells/particles into clusters based on…

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