Snapshot multispectral imaging using a diffractive optical network

Multispectral imaging has fueled major advances in various fields, including environmental monitoring, astronomy, agricultural sciences, biomedicine, medical diagnostics and food quality control. The most ubiquitous and primitive ...

Chemical-free re-staining of tissue using deep learning

Tissue-based diagnosis of diseases relies on the visual inspection of biopsied tissue specimens by pathologists using an optical microscope. Before putting the tissue sample under a microscope for inspection, special chemical ...

Deep learning and holography create a better point-of-care sensor

Agglutination assays are widely used immunological sensors based on antigen-antibody interactions that result in clumping of antibody-coated microscopic particles. Once the sample—for example, a patient's serum—is introduced, ...

Object classification through a single-pixel detector

Machine vision systems have many applications, including self-driving cars, intelligent manufacturing, robotic surgery and biomedical imaging, among many others. Most of these machine vision systems use lens-based cameras, ...

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