Single cell analysis (SCA) is a widely recognized method for elucidating cellular functions that are not accessible through bulk measurements on the population-level. The understanding of genomic sequence at the single cell level can help in developing a better understanding of how various parts of a cell are combined in space and time in order to create dynamic cellular processes. SCA has affected and influenced a variety of scientific fields including immunology, cancer biology, and neuroscience. It involves the miniaturization of conventional engineering concepts in order to fit within the confines of a single cell. The major technologies used for single cell analysis include single-cell sequencing, single-cell imagers, microfluidic droplet technology platforms and flow cytometry. This book explores all the important aspects of single cell analysis in the present day scenario. Those in search of information to further their knowledge will be greatly assisted by it.