IDEAS: Empowering researchers to manage and analyze neuroscience research data at scale

Neuroscientists have quickly acquired the ability to generate massive amounts of high-resolution, real-time brain activity and behavior research data. While these kinds of datasets are critical to unlocking a better understanding of how the nervous system generates behavior, discoveries are often impeded by a lack of integrated tools to effectively manage and extract the insights hidden among the terabytes of experimental files. After spending over a decade inventing and refining miniscope technology to enable widespread acquisition of rich brain-behavior data, Inscopix is now applying the same approach to solving the bottleneck of managing and interpreting the resulting massive, multimodal datasets.

By building the Inscopix Data Exploration, Analysis, and Sharing (IDEAS) cloud platform, we now offer a complete solution for storing and analyzing fluorescent imaging and behavior data at scale. The IDEAS platform combines the experiences of commonly used but rarely integrated products like spreadsheets and databases with Python analysis methods and compute cluster orchestration. With IDEAS you can organize terabytes of experimental files, browse them instantly from anywhere, and share them with your collaborators. Once your data is on the cloud, you can leverage scalable computing clusters to run cutting-edge computational methods, all without any downloads, installs, or programming. Acquisition data, experimental logs, and analysis results can be readily exported and shared to public repositories. The IDEAS platform is currently optimized for fluorescent microscopy and behavior datasets but is built to flexibly support other research data types and computational methods.

Find out more about the technology featured in this webinar or our other solutions for analyzing Neuroscience Research data: