Impact analysis of various types of simulated multiple scattering matrices on the numerical simulation of high-resolution imaging in scattering media

Optical techniques are essential in biomedical research, enabling high-resolution, non-invasive imaging of biological tissues. However, imaging depth in optical microscopy is limited by multiple scattering in scattering media, such as biological tissues. Various methods have been developed to overcome this limitation, and numerical simulations have played an important role in developing new imaging techniques. Traditional simulations often use simple random matrices to represent multiple-scattered waves, which overly simplifies their behavior and may impact the accuracy of image quality assessments. In this study, we introduce various types of simulated multiple scattering matrices to better capture the characteristics of scattered waves. We systematically analyze the correlation properties of these matrices and evaluate their impact on high-resolution imaging quality. This work provides a foundation for selecting appropriate matrix types for simulating multiple scattering effects, aiding in the effective testing and validation of new microscopy techniques in scattering media.