My expertise is defined by analysis of images acquired by various different microscopy modalities. Over the course of my studies and afterwards, I mastered a suite of advanced image analysis techniques, commonly known as Image Correlation Spectroscopy, which are useful to quantify the microscopy data of sub-cellular structures and proteins. These techniques use the correlation of the pixels' fluctuations in space and time in order to quantify the number density, co-localization and dynamics of molecules and molecular complexes, from image time series of live cells. Also, during two years of post-doctoral work, I acquired experience in both imaging and data interpretation in single-molecule approaches such as dSTORM, PALM, sptPALM. More broadly, I apply my experience of ~15 years of programming knowledge in Matlab and cellular and molecular biophysics, in order to help BMIF users and broader national and international scientific community to solve various problems and define tailored image analysis approaches to the problem at hand.