Coherence Tomography is a non-invasive imaging technique used to visualize the internal structure and composition of materials, such as biological tissues or industrial products. It works by shining a laser beam into the sample and measuring the reflected light at different angles. The resulting data is then analyzed using mathematical algorithms to create a three-dimensional image of the sample's internal structure.
The term "coherence" refers to the property of the laser light, which means that the waves are in phase with each other. This allows for the interference pattern of the reflected light to be used as an indicator of the sample's internal structure. By analyzing these patterns at different angles, a three-dimensional image can be reconstructed.
Coherence Tomography has many applications in fields such as biology and materials science, where it is used to study tissue samples or investigate the properties of various materials. It provides valuable information about the internal structure and composition of these samples, which can help researchers better understand their behavior and characteristics.