Intellectual Ventures Laboratory (IVL), in collaboration with Global Good Fund (GG), has developed an initial microscope prototype to support its research into dark field imaging of unstained malaria slides. The system consists of low cost electromechanical components for scanning a standard slide, an optical train with a high numerical aperture objective, and an image capture system. Captured images are analyzed with custom image analysis software developed at GG/IVL, using algorithms that are designed for automatic malaria diagnosis, without user input. Additionally, image processing algorithms have been built around detection of Giemsa-stained malaria slides which is the current standard for malaria microscopy. Initial results show excellent potential for sensitivity and specificity which exceeds that of typical manual microscopists in the field. Based on the positive market and needs assessment in January, 2013, given by stakeholders in the malaria diagnostics community, GG/IVL are pursuing improvement and integration of this algorithm into a portable microscope platform with characteristics similar to the prototype microscope already developed at GG/IVL for dark field imaging. The prototype Autoscope was first tested in field settings in Thailand in Nov 2014 - Jan 2015 at clinics operated by the Shoklo Malaria Research Unit (SMRU). The goal of the first field evaluation was to assess the Autoscope in with respect to its diagnostic performance and also its suitability for harsh conditions typically encountered in field clinics. Further, user feedback on the design and functionality was sought. The Autoscope and the accompanying image analysis algorithms have since been further developed and a new version is now available for testing.