Progress in quantitative image analysis has evolved microscopy into a powerful tool for systems biology studies.As automated image collection and processing techniques are able to quantitatively manage larger and larger volumes of two-dimensional and three-dimensional image data,biological image analysis has been able to approach the experimental throughput of chemical screening.Here we present two microfluidic platforms for label free cellular imaging with stimulated Raman scattering (SRS) microscopy.The first platform is used to cultivate cells in parallel chambers enabling automated live cell imaging.The second platform is capable of manipulating,trapping and sorting single cells based on morphology.SRS microscopy is a quantitative technique which achieves label free cellular imaging with chemical specificity and low background by exploiting vibrational resonances in chemical bonds[1].A SRS microscope is integrated with microfluidic technology (figure 1),in order to monitor lipid metabolism by quantifying intercellular lipid droplet morphology (figure 2).With this system,intracellular lipid droplet distributions can be observed in response to titrations of exogenous fatty acids or other chemical stimuli and single cells can be sorted based on their lipid droplet content.These platforms demonstrate the potential for a systems approach to studying lipid droplet biology.