Ensuring the quality of the Synaptic Physiology Dataset is of critical importance. We applied quality control criteria at several stages of data processing and analysis. During the processing stages, in order for data to proceed into successive stages it had to pass quality control for the prior stage. During analysis of connection properties, each analysis (e.g., strength, kinetics, short-term plasticity) had independent quality control metrics. Below is a workflow of the quality control metrics required for inclusion at each stage of processing and analysis.
Data was first processed to ensure that it was of good enough quality to detect a connection

During characterization of a synapse, different QC criteria were applied based on the metric that was being analyzed.

Learn about Synaptic Physiology Analysis Methods Connection Characterization with comprehensive guides and examples from Allen Institute for Brain Science.
Learn about Synaptic Physiology Analysis Methods with comprehensive guides and examples from Allen Institute for Brain Science.
Learn about Synaptic Physiology Experimental Methods Experimental Protocol with comprehensive guides and examples from Allen Institute for Brain Science.