The rise of new in vitro and in vivo model systems using human stem cell technologies and human tissues alongside with animal models have significantly increased the need for implementing electrophysiology as part of basic research methodologies. The application of electrophysiological methods possesses, however, challenges as those require deep methodological understanding, sophisticated instrumentation and dedicated laboratoty premises. The BF-Finnish Electrophysiology Platform, FinE, enables research groups and non-academic users even with no prior or low to high experience in electrophysiological recordings to utilize our centered services. FinE provides access to state-of-art (SoA) electrophysiological facilities and user training and expertise in planning and executing experiments. It brings multilevel expertise available for users and the ability to custom-design experiments regardless of model system (in vitro, ex vivo, in vivo). The SoA equipment and expertise include range of microelectrode array (MEA) technologies, patch clamp (PC), and fast fluorescence e.g., calcium (Ca) imaging. MEA’s are utilized in 2D with neuronal, cardiac and epithelial cells, and brain organoids and human/rodent tissue sections, in microfluidic chips with neuronal and cardiac cells, and in vivo with rodents. PC and Ca imaging are utilized mostly with 2D samples. Integration of MEA, PC, and Ca imaging for simultaneous recordings is also possible. High-resolution multi-site recordings of local field potentials (LFP), single neuron activity, electroencephalography (EEG), ECoG and fast scan cyclic voltammetry (FSCV) are utilized with in rodents in vivo. Optogenetics and behavioral testing is also possible.

• Open access to all facilities (after user training)
• Personal user support and general support activities: e.g., user training, consultation on experimental set up, sample preparation, choice of instruments, and data analysis
• Full-service model including experimental design, conduction of the measurements and analyses, preparation of results to e.g., scientific articles.
• Maintenance and development of equipment and methods
  Jointly develop algorithms and software for advanced data analysis
• Teaching activities: lectures and practical courses for MSc & graduate students & postdoctoral fellows