Research is being conducted on the use of laser speckle imaging for assessing blood flow, with various methods being explored to enhance image quality and accuracy. Techniques such as wavelet threshold denoising, machine learning, and filtering are being investigated to improve the precision of laser speckle contrast imaging. The studies appear to be focused on optimizing the technology for potential use in medical applications, including cerebrovascular surgery and imaging of microcirculation.