We propose a new label-free method for noninvasive and automated cell processing for classification of WBCs. This is done by acquiring off-axis holograms of each cell during flow and achieving its optical path delay (OPD) profile. Based on this map, we extract highly discriminative features used to detect, classify, and differentiate between distinctive cells using a deep convolutional neural network. This label-free method might bring to new analysis tools for blood test processing.
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