In brain networks, neurons are interconnected via numerous synapses which transmit information for computations of the cells. Neuronal activity can be recorded with light microscopy (LM) techniques, however, resolution of… Click to show full abstract
In brain networks, neurons are interconnected via numerous synapses which transmit information for computations of the cells. Neuronal activity can be recorded with light microscopy (LM) techniques, however, resolution of electron microscopy (EM) is required to analyze the synaptic ultrastructure. By correlating LM and EM data, a more complete understanding of neuronal computation is achieved, and recent advancements in scanning EM (SEM) have made this volumetric correlation more attainable. This paper will discuss two workflows that we established for functional LM and EM correlation using SEM; 1) viral vector-driven expression of a dual microscopic marker to identify labeled profiles under both LM and EM in the brain (Fig. 1); 2) correlation of two-photon in vivo LM and volumetric EM at the synapse level using native fiducial markers with no labeling (Fig. 2).
               
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