As imaging technologies rapidly evolve, there's an increasing demand for professionals who can work across multiple platforms, understand the underlying assumptions of various tests, and ensure accurate measurements for inter-laboratory comparisons. By providing a thorough grounding in quantitative and qualitative metrics applicable to a wide range of imaging systems, this course promotes standardization and consistency in testing procedures. It bridges the gap between theory and practice, enabling professionals to adapt to technological advancements and make informed decisions about test applicability and limitations. The test concepts presented apply to CCD/CMOS cameras, intensified CCD cameras, night vision goggles, SWIR cameras, and infrared cameras. Using a linear systems approach, this course describes all the quantitative and qualitative metrics that are commonly used to characterize imaging system performance. Laboratory performance parameters discussed include spatial sampling (distortion), modulation transfer function (MTF), 3D noise, photon transfer curve (PTC), minimum resolvable temperature (MRT), and the minimum resolvable contrast (MRC), temporal response, quantum efficiency, and system of system level tests (latency etc.). Concepts related to data validation and setup verification are described along with many common best practices. Data reduction and analysis techniques are reviewed outlining many of the corresponding assumptions that must be met for accurate measurements. This course will also provide demonstrations of some of the common laboratory test techniques on commercially available thermal and color cameras.