Yechiam Sapir
Papers
2
Total Citations
16
H-Index
2
About
Yechiam Sapir is a neuroscientist pioneering high-content physiological phenotyping at single-cell resolution. His key research area centers on developing automated platforms to bridge the gap between high-throughput screening and the granular analysis of individual neuron subtypes. Sapir’s major contribution is the creation of APPOINT (Automated Physiological Phenotyping Of Individual Neuronal Types), a novel assay platform that integrates calcium imaging with robotic manipulation to simultaneously record and classify individual neurons based on their physiological responses. This breakthrough allows researchers to move beyond bulk population averages, enabling unbiased, subtype-specific analyses of activation mechanisms and drug effects. His foundational work, detailed in a 2021 paper that has accumulated 12 citations, demonstrates the platform’s power to preserve single-cell resolution in high-throughput contexts—a critical advance for neuropharmacology and disease modeling. By solving the long-standing trade-off between throughput and resolution, Sapir’s APPOINT platform provides a powerful tool for dissecting neuronal heterogeneity, offering the neuroscience community a scalable method to link cellular physiology to drug response and disease mechanisms with unprecedented precision.
Research Focus
Key Achievements
Top Papers
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