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High throughput quantitative phase imaging show immense potential for clinical applications in various disease detection, however, traditional interferometric setups on optical benchtops are bulky and expensive by design. We present a low-cost, compact interferometric chamber system that would consist of merely three lenses and one beam splitter. The presented system can provide high throughput single-cell level screening of million cell sample population. In combination with customized dataset refinement algorithm and machine learning, we developed a novel technique that would allow for detection of RBC morphology-altering diseases such as sickle cell disease.
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