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The existing method of detection for Cryptosporidium oocysts in treated drinking-water supplies does not divulge any information with regards to the viability status or species of detected oocysts. The ability to rapidly decipher such information, whilst also enumerating oocyst numbers in an automated process, would reduce the requirement for specialised microscopy and the overall duration of the detection method. In addition, this capability would allow a more accurate assessment of the risk posed to human health. In this seminar, the use of Microfluidic Impedance Cytometry to detect single Cryptosporidium oocysts and discriminate oocysts based on their species and/or viability will be described. Microfluidic Impedance Cytometry refers to microfluidic systems with integrated microelectrodes, which measure the impedance of suspended, single particles to an electric field.