Artifact reduction refers to the process of minimizing or eliminating unwanted distortions, errors, or interferences in data or measurements in scientific research. These artifacts can arise from various sources such as equipment malfunctions, signal noise, human error, or environmental factors. Researchers often apply various techniques and methods to reduce artifacts in their data, such as calibrating instruments, filtering out noise, controlling experimental conditions, and correcting for systematic errors. By reducing or removing artifacts, researchers can ensure that their results are more accurate, reliable, and valid. Artifact reduction is crucial in many fields of research, including biology, chemistry, physics, and psychology, as it helps researchers to better understand the underlying phenomena they are studying and make more informed conclusions based on their data.