SchistoScope

We propose a Schistoscope - which offers an integrated diagnostics solution (sample preparation and diagnosis) with the support of a smart algorithm (for detection and quantification of the Schistosoma eggs) which can be produced and maintained in Africa (use of locally available materials and manufacturing process). We will explore open source possibilities to improve accessibility and local manufacturability such as integrating 3D printing possibilities in the universities and maker labs. The core of the Schistoscope is a smart imaging platform composed of a locally available low-cost Android device, a low-cost imaging lens, and image recognition and classification algorithm. For sample preparation, 10 ml of urine will be dropped using a syringe through locally available filter material which is positioned on a plastic sample holder. The sample holder and the smartphone will be inserted in an ‘integration box’ to position the camera lens exactly above the sample. By capturing one image (one field of view) the algorithm will be able to diagnose the sample and share the results directly for treatment of the patient.