Abstract: The present disclosure is directed to an imaging system and methods of use thereof. The system can include a light source configured to emit light to illuminate a retina of an eye with the light. The system can include one or more imaging devices configured to receive light from the retina via one or more polarizers to generate one or more spectropolarimetric images of the retina. The system can include a computing device configured to receive the one or more spectropolarimetric images of the retina, evaluate the one or more spectropolarimetric images, and identify one or more biomarkers indicative of a pathology.

Abstract: A phantom eye includes a curved reflectance standard having a light-receiving surface configured to be illuminated by light and one or more ocular media components positioned such that the light passes through the one or more ocular media components prior to illuminating the light-receiving surface of the curved reflectance standard. The curved reflectance standard mimics an optical property of a retina of a biological eye. The one or more ocular media components mimic an optical property of the biological eye.

Abstract: A non-invasive device for detecting Alzheimer's Disease-associated pathologies, comprising a fundus camera comprising a spectral reflectance imaging unit that includes a broadband light source and a light sensor and a lens assembly to focus light from the broadband light source onto a fundus of an eye, and one or more processors to detect reflected and/or backscattered light from the eye, illuminated by the broadband light source, using the light sensor for determining spectral reflectance information, generate a plurality of spectral reflectance maps comprising counts of reflected and/or backscattered light at a different wavelength or a different range of wavelengths, assign a weight to each of the spectral reflectance maps, and determine one or more regions of interest from the weighted spectral reflectance maps as being a potential Alzheimer's Disease-associated pathology based on a detection of one or more biomarkers indicative of Tauopathy.

Abstract: A non-invasive device for detecting Alzheimer's Disease-associated pathologies, comprising a fundus camera comprising a spectral reflectance imaging unit that includes a broadband light source and a light sensor and a lens assembly to focus light from the broadband light source onto a fundus of an eye, and one or more processors to detect reflected and/or backscattered light from the eye, illuminated by the broadband light source, using the light sensor for determining spectral reflectance information, generate a plurality of spectral reflectance maps comprising counts of reflected and/or backscattered light at a different wavelength or a different range of wavelengths, assign a weight to each of the spectral reflectance maps, and determine one or more regions of interest from the weighted spectral reflectance maps as being a potential Alzheimer's Disease-associated pathology based on a detection of one or more biomarkers indicative of Tauopathy.

Abstract: The present disclosure provides systems and methods for diagnosing disease. In some aspects, an imaging system is provided that includes a light source configured to illuminate a retina of the eye with light, one or more imaging devices configured to receive light returned from the retina to generate one or more spatial-spectral images of the retina, and a computing device configured to receive the one or more spatial-spectral images of the retina, evaluate the one or more spatial-spectral images, and identify one or more biomarkers indicative of a neurogenerative pathology.