Biological systems consist of a variety of distinct cell types that form functional networks. Superresolution imaging of individual cells is required for better understanding of these complex systems. Direct visualization of 3D subcellular and nano-scale structures in cells is helpful for the interpretation of biological interactions and system-level responses. Here we introduce a modified magnified analysis of proteome (MAP) method for cell super-resolution imaging (Cell-MAP) which preserves cell fluorescence. Cell-MAP expands cells more than four-fold while preserving their overall architecture and three-dimensional proteome organization after hydrogel embedding. In addition, Optimized-Cell-MAP completely preserves fluorescence and successfully allows for the observation of tagged small molecular probes containing peptides and microRNAs. Optimized-Cell-MAP further successfully applies to the study of structural characteristics and the identification of small molecules and organelles in mammalian cells. These results may give rise to many other applications related to the structural and molecular analysis of smaller assembled biological systems. Biological systems are stunningly complex, often consisting of millions of individual cells. Each cell can be classified as belonging to one of a number of distinct cell types, and is part of one or more closely interconnected functional networks. Cells are the basic structures of all living things, and individual cells often show clear heterogenicity. Studies using advanced techniques of subcellular and nano-scale imaging are essential for understanding the individual characteristics of cells. Over the past few decades, cell imaging analysis systems have been developed to observe cells in three-dimensions due to technological advances in confocal microscopy. However, further resolution via current imaging analysis through confocal microscopy is technically limited due to lens magnification, point spread function, and diffraction limitations 1-3. It is therefore necessary to develop new technologies for single cell imaging that are capable of super-resolution. Two approaches have been developed for the super-resolution imaging of cells. One approach includes super-resolution optical techniques, such as photoactivated localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), and stimulated emission depletion microscopy (STED) 4-6. The other approach is super-resolution imaging by physical tissue expansion, including expansion microscopy (ExM), and magnified analysis of the proteome (MAP) 7,8. Both super-resolution microscopy and tissue expansion techniques have advantages and disadvantages. Super-resolution microscopy can be applied to living cells, but is not easily applied, as the equipment is very expensive and cannot be used with thick tissue and conventional immunostaining 9. In contrast, tissue expansion techniques may not be applied to living cells, but are usually less expensive and