Abstract

Lensless digital holography is a low-cost imaging technique with promising applications in a resource deficit environment. It can be used for the diagnosis and analysis of RBCs. Modifications in their morphology and other physical parameters are indicative of several diseases. The sparsity constraint imposed by the twin image phenomenon in inline holography allows the implementation of compressive sensing based holographic reconstruction. It allows the estimation of parameters like size, thickness, volume, sphericity index etc. form the extracted phase information. In this work this approach is used to study RBC in healthy and anemic states.

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