Learn the fundamentals of Plexon’s OmniPlex software, including how to improve signal quality, data recordability, and approach complex applications of spike sorting.
Scientists are faced with numerous challenges when planning and executing research involving high-resolution recordings of neural biopotentials in laboratory animals. Many of these challenges relate to the nuances of the hardware used to collect these measurements, while others touch upon signal acquisition and processing, data management, and downstream analysis.
To simplify the research processes, Plexon offers OmniPlex – a turn-key acquisition and data management platform for recording neural biopotentials from acute or chronically implanted electrodes in both anesthetized and awake, behaving animals. Understanding the core features available through this platform, and more importantly, when and how to apply them can help advance your research.
Therefore, the focus of this webinar is to showcase select features of the OmniPlex acquisition software essential to addressing common challenges experienced in the lab. Specifically, Andrew Klein, Director of Sales and Support at Plexon, demonstrates online digital referencing features, including Common Average Referencing (CAR) and Common Median Referencing (CMR), automatic thresholding, and manual and automatic sorting. In addition, viewers learn about features designed to assist researchers and solve common issues, such as recording in a noisy environment, difficulty sorting on many channels, and spike sorting poorly isolated data.
In this webinar, experts at The Myers Neuro-Behavioral Core Facility at Tel-Aviv University address specific advantages and limitations of today’s home cage monitoring (HCM) technology used in behavioral research.
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Dr. Lauren Woodie and Dr. Matthew Morris present their research involving metabolism, diet, and energy expenditure in mouse models.
Sharon Ladyman and Vicki Vieira-Potter share their research on the effects of hormones and pregnancy on daily activity in mice.