Society for Neuroscience (SfN)
Neuroscience 2026, hosted by the Society for Neuroscience (SfN), is the world’s largest gathering dedicated to understanding the brain and nervous system—from fundamental discovery through translational neuroscience. As neuroscience research increasingly relies on complex cellular models and data‑rich experiments, researchers face growing challenges around throughput, variability, and integrating electrophysiology, imaging, and functional readouts.
Visit Molecular Devices at Booth 1502 to explore workflow‑driven solutions designed to help neuroscience teams generate reliable, scalable insight across experimental modalities—without adding complexity to the lab.
At the booth, you’ll see how to:
- Automate iPSC-derived neuron and cerebral organoid culture using AI-driven decision-making to maintain consistent, healthy cultures for long-term neural studies while reducing hands-on time.
- Unify electrophysiology, imaging, and functional assays into complementary workflows that support deeper characterization of neural models.
- Reduce experimental variability and hands‑on time across cell culture, imaging, and data acquisition steps.
- Capture high‑quality, quantitative readouts at scale to support both exploratory neuroscience research and larger screening studies.
- Measure functional assay readouts with confidence across absorbance, fluorescence, and luminescence applications, using flexible plate‑based detection as part of an integrated workflow.
- Support data integrity and reproducibility through controlled analysis and reporting workflows, including GxP‑aligned software environments that help maintain traceability from data acquisition to decision‑making.
- Support advanced 2D and 3D neural models, including long‑term culture and complex phenotypic analysis.
Click below to schedule some time with our experts at Booth 1502 to see how integrated, solution‑focused workflows can help neuroscience teams move from complex experiments to confident insight—faster and with greater reproducibility.