The most used imaging method for biological samples is based on the use of markers or fluorescent colorants to label the cells micro-structures of interest. However, labeling the cell may cause alteration of its internal constituents, its natural behavior and its life cycle in the case of living cells. Digital Holography (DH) in microscopy is a powerful imaging technique which permits to obtain a posteriori multiple refocusing and quantitative phase contrast images. The main advantage of the DH is the ability to provide the cell morphological features in label-free mode. DH has been proved successfully in different biomedical applications, such as characterization and identification of cancer cells, diagnosis of blood diseases and marker-free detection of lipid droplets. We implemented a Mach-Zehnder interferometer in off-axis configuration which allows recording the resultant digital holograms. Therefore, we performed the 2D numerical reconstruction to achieve the quantitative phase maps through several computational steps, namely Fourier spectrum filtering, numerical refocusing, aberrations suppression and phase unwrapping. Here, we show a detailed study of two different classes of biological samples: HeLa cells and mouse embryonic fibroblasts. Specially, through the proposed method, we investigate the morphological variations induced by lysosomal aggregations to distinguish the difference between lysosomal storage diseases and wild type populations of both cell lines. This work demonstrates the validity and effectiveness of the presented method, revealing its potential to discriminate between healthy and unhealthy cells at subcellular level.
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