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Showing 1 to 3 of 3 for “"phase imaging with computational specificity"”.

  1. Phase imaging with computational specificity for cell biology applications

    Recent advancements in quantitative phase imaging (QPI) and deep learning have opened up an exciting frontier. It has been shown that deep learning methods, with their ability to extract intricate structures from massive raw datasets, can be applied to both interpreting QPI measurements of …

    uiuc Repository record for Phase imaging with computational specificity for cell biology applications (opens in a new tab)

  2. Gradient light interference microscopy for imaging strongly scattering samples

    … the optical field to scramble when interacting with turbid media, leading to contrast images. In this work, we outline the development of an instrument that uses broadband optical fields in conjunction with phase-shifting interferometry to extract high-resolution and high-contrast structures …

    uiuc Repository record for Gradient light interference microscopy for imaging strongly scattering samples (opens in a new tab)

  3. Computational high-throughput phase imaging

    Quantitative phase imaging (QPI) is a remarkable modality for its wide range of potentials in studying biological structures without exogenous labeling. QPI utilizes the optical phase delay across the sample, instead of the image intensity, as the image contrast mechanism to provide highly …

    uiuc Repository record for Computational high-throughput phase imaging (opens in a new tab)