Lena Blackmon, Eric Waltari, Hongquan Li, Janie Byrum, Vida Ahyong, Fabiano Oliveira, Manu Prakash, Jessica Manning, Christina Tato, John Pak, Shalin Mehta
Dengue virus (DENV) is a mosquito-borne disease that poses a public health threat to sub/tropical areas worldwide. Vaccination drives require differential diagnosis of serotype-specific DENV exposure to reduce severe dengue risks, yet state-of-the-art DENV serology relies upon short-lived serotype-specific IgM or labor intensive neutralization assays. The need for high-throughput differential diagnosis is met with our multiSero platform (Byrum et al.), a screening technique capable of detecting 48 antigen-antibody pairs simultaneously, demonstrating utility for population-wide screening. Through machine-vision techniques, we quantify and classify antibody-response signals with high sensitivity to develop automated analysis pipelines capable of diagnosing serotype-specific DENV exposure.
Label-free microscopy methods have been developed to measure isotropic (phase) and anisotropic components of the uniaxial permittivity tensor (uPT) separately. These methods are now broadly used to analyze biological architecture. Few methods have combined these measurements, but they do not provide complete measurement of uPT considering diffraction. Here we report a computational microscopy method, termed uniaxial permittivity tensor imaging (uPTI) for diffraction-aware measurements of uPT. The invisible uPT is converted into visible intensity variations using add-on microscopy modules for asymmetric illumination and polarization-sensitive detection. We develop a vectorial partially coherent imaging model that describes the intensities in terms of uPT. We retrieve the uPT with a multi-channel deconvolution algorithm. We demonstrate the multi-modal high-resolution imaging of biological specimens with uPTI.
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