Imaging microscopic objects, such as biological cells that are often semi-transparent, using conventional intensity-based light microscopy can be difficult due to lack of contrast between the sample and the environment. Quantitative phase microscopy (QPM) is an effective research tool often used to examine spatial and temporal properties of these semi-transparent samples, label-free, by measuring the optical path delays of light passing through the cells. In recent years, quantitative phase spectroscopy (QPS) was developed in our lab by combining QPM with a rapidly-tunable broadband source that allowed accurate spectral signature measurements of the cells. Using this novel method, we were able to quantify mass of hemoglobin by fitting nonlinear spectral features of individual cells in normal RBC (nRBC) and malaria parasite infected RBC (iRBC) populations. QPS was also implemented to make morphological multiparametric characterization of nRBC and different stages of malaria parasite iRBC groups that allows population identification using machine learning algorithms. Currently, we are expanding on our results by integrating QPS with microfluidic devices for accurate assessment of RBC dynamics.
Current Personnel Working on Hyperspectral Holographic Microscopy:
Han Sang Park