Objective: Use closed-loop optogenetic control within smart microscopy to drive predefined biological outcomes.
Why it works: The framework combines real-time analysis and adaptive acquisition with optogenetic perturbation so that imaging and control can be adjusted to steer cell biological processes toward predefined outcomes.
Priority logic: The paper positions outcome-driven microscopy as distinct from event-driven microscopy by prioritizing achievement of predefined outcomes rather than only on-demand acquisition for phototoxicity reduction.
Validation strategy: The approach is validated through two application tasks: light-based control of cell migration and nucleocytoplasmic transport.
Target properties: predefined biological outcomes, spatiotemporal control of cellular behaviour, imaging efficiency
Target mechanisms: light-based control of cell migration, light-based control of nucleocytoplasmic transport
Target techniques: real-time analysis, adaptive acquisition, closed-loop optogenetic control