bioRxiv (Cold Spring Harbor Laboratory) · 2021 · 19 citations · 37 references
MedicineNeurobiologyNeuroscienceBiophotonicsCellular NeurobiologyCellular NeuroscienceOptogeneticsPhotoreceptor PhysiologyAll-optical ElectrophysiologyMicrobial OpsinsNeural Population CodesOpsin EngineeringOpsin PhysiologyOptogenetic ActivationOptogenetic StimulationTemporal Control Of Neural Activity
Summary Patterned optogenetic activation of defined neuronal populations in the intact brain can reveal fundamental aspects of the neural codes of perception and behavior. The biophysical properties of existing optogenetic tools, however, constrain the scale, speed, and fidelity of precise optical control. Here we use structure-guided mutagenesis to engineer opsins that exhibit very high potency while retaining fast kinetics. These new opsins enable large-scale, temporally and spatially precise control of population neural activity in vivo and in vitro . We benchmark these new opsins against existing optogenetics tools with whole-cell electrophysiology and all-optical physiology and provide a detailed biophysical characterization of a diverse family of microbial opsins under two-photon illumination. This establishes a toolkit and a resource for matching the optimal opsin to the goals and constraints of patterned optogenetics experiments. Finally, by combining these new opsins with optimized procedures for cell-specific holographic photo-stimulation, we demonstrate the simultaneous co-activation of several hundred spatially defined neurons with a single hologram, and nearly double that number by temporally interleaving holograms at fast rates. These newly engineered opsins substantially extend the capabilities of patterned illumination optogenetic paradigms for addressing neural circuits and behavior.
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Suite2p: beyond 10,000 neurons with standard two-photon microscopy
Marius Pachitariu, Carsen Stringer, Mario Dipoppa et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2016 · 1.4K citations · Full text
Lisa A. Gunaydin, Ofer Yizhar, A. Berndt et al. · Nature Neuroscience · 2010 · 765 citations