23 February 2018 Automated high resolution full-field spatial coherence tomography for quantitative phase imaging of human red blood cells
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Proceedings Volume 10503, Quantitative Phase Imaging IV; 105032I (2018) https://doi.org/10.1117/12.2286612
Event: SPIE BiOS, 2018, San Francisco, California, United States
Abstract
We developed an automated high-resolution full-field spatial coherence tomography (FF-SCT) microscope for quantitative phase imaging that is based on the spatial, rather than the temporal, coherence gating. The Red and Green color laser light was used for finding the quantitative phase images of unstained human red blood cells (RBCs). This study uses morphological parameters of unstained RBCs phase images to distinguish between normal and infected cells. We recorded the single interferogram by a FF-SCT microscope for red and green color wavelength and average the two phase images to further reduced the noise artifacts. In order to characterize anemia infected from normal cells different morphological features were extracted and these features were used to train machine learning ensemble model to classify RBCs with high accuracy.
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Neeru Singla, Kavita Dubey, Vishal Srivastava, Azeem Ahmad, D. S. Mehta, "Automated high resolution full-field spatial coherence tomography for quantitative phase imaging of human red blood cells", Proc. SPIE 10503, Quantitative Phase Imaging IV, 105032I (23 February 2018); doi: 10.1117/12.2286612; https://doi.org/10.1117/12.2286612
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