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Martin Hultman is an Assistant Professor at Linköping University specializing in microcirculation, which involves the smallest blood vessels in the body. His research aims to develop new methods for imaging microvascular function, utilizing image processing and machine learning techniques implemented through programmable logic hardware (FPGA). Hultman's work particularly focuses on optical imaging methods for evaluating microvascular function, including technologies like multi-exposure laser speckle contrast imaging (MELSCI) and multi-spectral imaging (MSI) for measuring blood flow and oxygen saturation. By combining these techniques, he seeks to provide a comprehensive understanding of microvascular function through model-based analysis and machine learning. Hultman collaborates closely with the healthcare industry to enable clinical implementation of these techniques, with a goal to benefit patients suffering from conditions such as diabetes, sepsis, chronic wounds, and ischemia.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.