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The SomaFocus™ Technology
Real-Time Network Insights, Across All Cell Types
Instantly visualize spiking activity, synchrony, and network-level dynamics from connected organoid circuits — with access to every cell type, not just those at the surface.
Machine-Learning Spike Sorting & Cell-Type Differentiation
Built-in algorithms classify excitatory vs. inhibitory neurons based on spike morphology — no electrophysiology expertise required.
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Expand Insights from 3D Models
Complement Imaging and Sequencing
Achieve Single-unit Resolution
Automated, Plug-and-Play Workflow
Publication Ready Exports and Cloud-based Data Storage
Export interactive reports for sharing results with collaborators or regulatory partners. Secure cloud storage, enabling cross-site studies and team-based analysis.
Reveal how neurons interact, communicate, and form circuits inside brain organoids
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WHAT SCIENTISTS ARE SAYING:
Single-cell sequencing is very expensive, so you don’t get a lot of samples. Imaging also has variability issues within organoids. That’s why a direct functional readout is really valuable. We tried MEA, but the 3D structure dissolves — cells just migrate out. It’s inconsistent and not really viable. That’s where I think DBC has a great advantage. SomaFocus is nice because you can get a spatial orientation of where the cells are. With MEA, you don’t really get that same resolution.
Brady Maher, PhD, Lead Investigator- Lieber Institute, Developmental Neurobiology and Functional Genomics Division; Associate Professor- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences and the Solomon H. Snyder Department of Neuroscience
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