Papers

4

Total Citations

139

H-Index

4

About

Simon R. Schultz is a neuroscientist and biomedical engineer whose research sits at the compelling intersection of electrophysiology, robotics, and neural circuit analysis. Best known for his pioneering contributions to automated patch-clamp technology, Schultz has fundamentally advanced how researchers study cellular function in the brain. His landmark 2017 paper on robotic automation of in vivo two-photon targeted whole-cell patch-clamp electrophysiology (70 citations) demonstrated that automation could move beyond "blind" recording to precisely target genetically and morphologically defined cell populations — a significant leap in experimental specificity. Building on this, his 2018 review of progress in automating patch-clamp cellular physiology (61 citations) positioned him as a key synthesizer of the field, charting how automated platforms have evolved to address both voltage- and ligand-gated channels. More recently, Schultz's group introduced a quad whole-cell patch-clamping robot capable of simultaneously recording from four cells using two-photon targeting, dramatically scaling up experimental throughput. Collectively, his work has transformed patch-clamp electrophysiology from a painstaking manual craft into a high-precision, scalable methodology, making his contributions essential reading for anyone working at the frontier of systems and cellular neuroscience.

Research Focus

Key Achievements

4
H-Index
4
Papers
139
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Automation of In Vivo Two-Photon Targeted Whole-Cell Patch-Clamp Electrophysiology
70 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Imperial College London, London Centre for Nanotechnology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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