“…Optimizing the performance of GECIs and other protein sensors is a critical step for transforming a promising concept into a widely used tool. For example, the optimization of the first-generation GCaMP GECI has continued for more than 20 years, with gradual increases in the number of screened constructs for the newer generations of the sensor, and with the recent jGCaMP8, X-CaMPG, and G-CaMP9a descendants showing superior performance compared to earlier generations ( Nakai et al, 2001 ; Inoue et al, 2019 ; Zhang et al, 2021 ; Sakamoto et al, 2022 ). Switching to large-scale, in-vitro -based optimization pipelines is not limited to GECIs, but was also demonstrated for improving the performance of genetically encoded voltage sensors ( Kannan et al, 2018 , 2021 ) and glutamate sensors ( Aggarwal et al, 2022 ).…”