In this webinar, Bruker experts Peter Schuette, Ph.D., and Braden Neufeld showcase the Inscopix Data Exploration, Analysis, and Sharing (IDEAS) Platform. Topics covered include:
Modern neuroscience experiments generate massive, complex datasets that can make analysis and collaboration challenging. The IDEAS platform solves these challenges, providing a complete solution for neuroscience data management and analysis, making it easy to organize multimodal data, apply analysis workflows, create data visualizations, and collaborate with other neuroscientists.
In this webinar, we show how the IDEAS cloud platform simplifies the journey from raw imaging and behavioral data to biological insight.
Through both discussion and live demonstration, viewers will see how IDEAS enables streamlined data management, scalable analysis, quality control, collaboration, and customizable workflows, helping researchers accelerate discovery without the limitations of traditional desktop-based approaches.
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Peter Schuette, Ph.D.
Senior Field Scientific Consultant, Bruker Nano Surfaces and MetrologyPeter received his Ph.D. in neuroscience at UCLA with Drs. Avi Adhikari and Jonathan Kao, where his research interests ranged from the study of spatial memory encoding dynamics to the neural circuits underlying escape behavior. With extensive experience in the analysis of naturalistic and opto-/chemogenetically perturbed behavior, fiber photometry, and miniscope data, he was co-first author on a pair of publications in Neuron and eLife. These publications describe a novel circuit that orchestrates versatile flight from threat. He is based in Los Angeles and can serve as a valuable resource for your lab.
Braden Neufeld
Software Engineering Manager, Bruker Nano Surfaces and MetrologyBraden leads the Data Product software team at Bruker and has been a founding engineer on IDEAS since 2020, driving its design and development from early prototype to the comprehensive cloud science platform used in neuroscience research around the world today. Braden's team applies human-centered design to some of the hardest problems in cloud-scale multimodal data organization and analysis—building software that makes sophisticated workflows intuitive and accessible to researchers and experimentalists.