Adaptive Voltage Protocols
… or “Online Vhalf estimation” or “scripting”
Implementing Adaptive Voltage Protocols has proven to give a lot tighter screening data as demonstrated in this Application Report by Charles River Laboratories
Individually estimated Vhalf is attractive to increase the precision of pharmacological data. Vhalf is located on the steepest part of the activation curve, and even small cell to cell variance will have a large impact in the elicited current and thus on the pharmacological relevant response.
Sophions adaptive voltage protocols allow you to run voltage protocols individually optimized for each cell’s electrical properties. The software will perform Boltzmann fits online for each cell in order to estimate the cell-specific voltage needed for activating half of the receptor population or the voltage that will keep half of the cells in an inactivated state.
An adaptive protocol includes an activation or inactivation protocol from which the specific parameters can be estimated. Immediately thereafter; the estimated values can be used in the voltage protocol, adapting the experimental protocol to the cell’s electrical properties.
If an unstable cell gives rise to a low-quality fit, a backup mechanism will take over and clamp the cell to a predefined value, so there will be no loss of data.
- Online and cell-specific Boltzmann fit
- Clamping to the cell-specific Vhalf
- Activation and Inactivation protocols
- Online parameter quality control
Read more in this Application Report (Qube) and this Poster (QPatchII)
Adaptive protocols are available for QPatch II and for Qube (from Eagle SW release)
Fig.6 from the Application Report “Vhalf adaptive protocols on Qube” authored by Juha Kammonen from Charles River Laboratories