Abstract: In an embodiment, a neuroimager alignment and coupling evaluation (NACE) system, includes a neuroimaging device; a fiducial affixed to the neuroimaging device; an imaging device; and an augmented reality (AR) module coupled to the imaging device and configured to provide alignment data for the neuroimaging device by tracking facial or cranial landmarks and the fiducial.

Abstract: A smartphone-integrated OCT system to leverage the built-in components of smartphones for detection and processing, and/or display of OCT data. The smartphone-integrated optical coherence tomography system includes an optical coherence tomography (OCT) system, a smartphone, and a spectrometer configuration of optical components coupled to the optical coherence tomography system and the smartphone.

Abstract: Systems and methods for uses the inherent spectral dispersion of commercially available or easily fabricated diffusers to generate speckle patterns that are unique to each wave-length. In an embodiment, a computational spectrometer includes an arbitrary dispersive element (ADE); a detector configured to capture, as light passes through the ADE, a speckle pattern of transmitted dispersed light, unique for each spectrum; and an electronic processor coupled to the detector and configured to map the detected speckle pattern, received from the detector, to the input spectrum via a computational reconstruction algorithm, wherein the computational reconstruction algorithm is calibrated using a calibration data comprising a set of unique diffuse speckle patterns associated with each wavelength.

Abstract: Methods and systems for three-dimensional (3D) reconstruction of endoscopic data in accordance with embodiments of the invention are described. In one embodiment, a method for processing a plurality of images captured by an endoscope includes preprocessing a plurality of images captured by an endoscope and including at least a portion of an organ. In many embodiments of the invention, the preprocessing includes estimating variations in light intensity within scenes captured by the plurality of images, and generating a set of color-adjusted images based on those variations. The method according to some embodiments of the invention may include generating a 3D point cloud representing points on a surface of the organ based on the set of color-adjusted images, defining a mesh representing the surface of the organ based on the 3D point cloud, and generating a texture of the surface of the organ based on the set of color-adjusted images.

Abstract: Improved colorimetric analysis of liquid samples is provided. A sample holder is used that delivers predetermined volumes of sample individually to each of several colorimetric test patches at the same time with a sliding action. An opaque housing is employed to prevent ambient light from reaching the test patches when color images of the test patches are acquired. Preferably, a mobile electronic device including a camera is attached to the opaque housing to acquire the images. Optical microscopy can be performed in addition to the colorimetric analysis.

Abstract: Methods and systems for three-dimensional (3D) reconstruction of endoscopic data in accordance with embodiments of the invention are described. In one embodiment, a method for processing a plurality of images captured by an endoscope includes preprocessing a plurality of images captured by an endoscope and including at least a portion of an organ. In many embodiments of the invention, the preprocessing includes estimating variations in light intensity within scenes captured by the plurality of images, and generating a set of color-adjusted images based on those variations. The method according to some embodiments of the invention may include generating a 3D point cloud representing points on a surface of the organ based on the set of color-adjusted images, defining a mesh representing the surface of the organ based on the 3D point cloud, and generating a texture of the surface of the organ based on the set of color-adjusted images.