An alternative label-free and highly specific detection method of biological and chemical content is Raman spectroscopy. Raman scattering approaches provide advantages over other spectroscopic techniques such as IR, since Raman signals are generally not affected by the presence of water and Raman bands are much narrower and thus easier to identify than fluorescence bands . Raman spectroscopy, therefore, provides good possibilities for accurate chemical fingerprinting Cryptosporidium. However, normal Raman signals are often significantly weaker than fluorescence signals, which can be problematic for rapid detection as it implies long integration times. To improve Raman signals, surface-enhanced Raman spectroscopy (SERS) has been suggested for Cryptosporidium detection . However, SERS approaches usually adds to the complexity of both system set up and spectral response compared to normal Raman. Furthermore, SERS only gives a strong signal enhancement in close adjacency to the signal enhancing structure. Therefore, only the chemical content of the outer surface is enhanced, making oocysts identification difficult and easily masked by other organic material that can be attached to its surface. Normal Raman is therefore simpler to use, however, to our knowledge there is currently no high-spectral resolution reference Raman spectrum of Cryptosporidium in the literature. Also, there is a lack of a Cryptosporidium oocysts Raman map that provides spatial information of the structure. Accurate, high resolution reference spectra are critical for reducing false alarms in classification/identification algorithms.