Deep Ultraviolet (UV) Microscopy enables high-resolution, quantitative, and label-free imaging of biomolecules. Recently, we have shown that UV microscopy can be used as a tool for simple and fast hematology analysis by providing diagnostically relevant information on morphological and cytogenic properties of various blood cells. We have demonstrated the ability to classify and segment red blood cells, white blood cell subtypes, and platelets via deep learning frameworks and have applied this technique for diagnosis of blood disorders. In this work, we present a compact, low-cost deep-UV microscope capable of performing a rapid complete blood count (CBC). CBCs, one of the most commonly performed medical tests in the United States, provide critical counts of blood components used to monitor and diagnose blood disorders. This device can serve as a point-of-care alternative to modern hematology analyzers by leveraging endogenous biomolecular contrast from UV light to perform label-free hematology analysis. Here we discuss our approach of using simple, low-cost optics and hardware to enable fast and accurate imaging of blood samples. We demonstrate the capability of this system to scan and capture images of whole blood on blood smears and in custom microfluidic devices. We also show that these images can be used to segment, classify, and colorize blood cell subtypes. Lastly, we evaluate the efficacy of our stage translation system by assessing its positioning and translation accuracy.
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