Fluorescent indicators provide the signal link between cardiac activity and an image. When membrane voltage or intracellular calcium changes in epicardial tissue, the indicator’s emitted light changes correspondingly. A camera records these variations across the beating surface, allowing optical signals to represent dynamic electrical or calcium-related events rather than static anatomy.
Spatial analysis shows where activity occurs across the heart’s outer surface, whereas temporal analysis shows when regional changes occur during beating. Combining both dimensions helps researchers track conduction patterns, activation, and recovery. This makes it possible to identify differences between regions that might be missed by examining location or timing alone.
Membrane-voltage imaging focuses on changes associated with electrical activity, while intracellular-calcium imaging follows changes in calcium within cardiac cells. These signals provide complementary views of function at the heart surface. Comparing them can help researchers examine how electrical events and calcium-related activity are distributed across beating tissue.
A typical workflow places fluorescent indicators on the epicardium, records the beating surface with cameras, and analyzes the resulting image sequences. The recorded light changes are examined spatially and temporally to assess cardiac motion, electrical or calcium activity, conduction patterns, activation, and recovery. This sequence connects tissue preparation with interpretable functional measurements.
The method can reveal how activity propagates across the cardiac surface and whether activation or recovery differs between regions. Image analysis may also identify regional abnormalities in structure, motion, electrical behavior, or calcium activity. These outcomes give researchers a way to connect visible surface patterns with changes in cardiac physiology.
Cardiac Surface Imaging is useful for studying cardiac physiology and investigating mechanisms associated with arrhythmias and heart injury. It also supports evaluation of experimental therapies by showing how treatment-related changes appear across the heart surface. Because the approach captures regional and time-dependent behavior, it can compare functional patterns rather than relying only on overall observations.