Lysosomes are organelles of great importance for degradation processes of membranes and proteins in cells, and play a crucial role in cellular homeostasis. They can also serve as a potential target for cancer therapy. Monitoring lysosomes that accumulate lipids with sufficient temporal and spatial resolution still represents a considerable challenge. This thesis focuses on the development of surface-enhanced Raman scattering (SERS) as a method to monitor intact lysosomes, in particular regarding the influence of drug molecules that interfere with lipid metabolism. In order to evaluate the potential of SERS for studying lysosomal biology in live cells, the interactions between tricyclic antidepressants and acid sphingomyelinase (ASM) were studied. First, model systems were investigated. In particular, the interactions between the antidepressant molecules desipramine, imipramine, and amitriptyline, and gold and silver nanoparticles were characterized by SERS and surface-enhanced hyper-Raman scattering. The combined one-and two-photon approach showed that molecules interact with the surface of gold nanoparticles via their ring moiety and the methylaminopropyl side chain. As a model system of the lipid-rich environment in the lysosomes, composites of liposome and gold nanoparticles were prepared and studied by SERS and cryogenic electron microscopy. The SERS spectra are characteristic of the vesicles' lipid composition, and the data identify the lipids' polar head as the main contact site with the nanoparticles. The interactions between the antidepressants and the lysosomes were studied in the fibroblast cell line 3T3 by SERS and complementary methods. Apart from the collection of SERS spectra from the live cells, the cellular ultrastructure was characterized by transmission electron microscopy and cryo X-ray tomography. The ultrastructural data show an accumulation of lipids in the lysosomes, induced by the inhibition of ASM by the antidepressant molecules. In agreement with the SERS spectra Obtaining a PhD was an exciting journey, and there are many people to whom I owe a debt of gratitude. First, I would like to express my sincere gratitude to my PhD supervisors Prof.Dr. Janina Kneipp and Prof. Dr. Christoph Arenz for the opportunity of working with them and their continuous support during my PhD research. Most of all, I want to express my deepest appreciation to Prof. Dr. Janina Kneipp from whom I learned a lot during these four years, for all the scientific and non-scientific discussions, the positive attitude towards research, for helping me develop ideas and see things from a different perspective; and especially, for all work together before deadlines. I could not have imagined having a better and more understanding mentor for my PhD.