A reference imaging system including a planar reference piece. The reference imaging system further includes a three-axis gantry for positioning the planar reference piece at a plurality of points in a 3D coordinate system. Additionally, the reference imaging system includes a yaw actuator for adjusting the yaw angle of the object. Furthermore, the reference imaging system includes a pitch actuator for adjusting the pitch of the object. Moreover, the reference imaging system includes a computer processing unit for controlling the 3D position, pitch and yaw of the planar reference piece.

Described herein is the use of a visible near infrared (VNIR) hyperspectral imaging system as a non-invasive diagnostic tool for early detection of Alzheimer's disease (AD). Also described herein is the use of a VNIR hyperspectral imaging system in high throughput screening of potential therapeutics against AD.

Described herein is the use of a visible near infrared (VNIR) hyperspectral imaging system as a non-invasive diagnostic tool for early detection of Alzheimer's disease (AD). Also described herein is the use of a VNIR hyperspectral imaging system in high throughput screening of potential therapeutics against AD.

Disclosed are a method and a system for acquiring three-domain information of ultrafast light field. The method includes: acquiring time-domain information at positions of respective spatial points in a first signal to be measured; acquiring first frequency-domain information of continuous light portions at positions of respective spatial points in a second signal to be measured; acquiring second frequency-domain information of pulse light portions at positions of respective spatial points in a third signal to be measured; and fusing the time-domain information, the first frequency-domain information, and the second frequency-domain information, and determining three-domain information of an ultrafast light field signal according to information obtained by the fusion; wherein, the first signal to be measured, the second signal to be measured and the third signal to be measured are three signals obtained by splitting the ultrafast light field signal to be measured.

A method includes the following steps of (i) production with a 3D scanner, of a three-dimensional digital reference model of at least part of a dental arch of the patient, or “initial reference model”; (ii) acquisition, in actual acquisition conditions, by the patient or one of his or her close relatives, with a mobile phone, of at least three two-dimensional images of the dental arches of the patient corresponding to a front view, a right-side view and a left side view of the teeth of the patient, respectively, called “updated images”; and (iii) searching, through modification of the initial reference model, for a final reference model corresponding to the positioning and/or the shape of the teeth on the updated images.

A method includes the following steps of (i) production with a 3D scanner, of a three-dimensional digital reference model of at least part of a dental arch of the patient, or “initial reference model”; (ii) acquisition, in actual acquisition conditions, by the patient or one of his or her close relatives, with a mobile phone, of at least three two-dimensional images of the dental arches of the patient corresponding to a front view, a right-side view and a left side view of the teeth of the patient, respectively, called “updated images”; and (iii) searching, through modification of the initial reference model, for a final reference model corresponding to the positioning and/or the shape of the teeth on the updated images.

A remote sampling sensor for determining characteristics of a sample includes measurement optics and an insertion probe. The measurement optics are configured to emit light and detect returned light. The insertion probe includes a chamber, the chamber being configured to permit the sample to enter the chamber, an insertion tip at a distal end of the insertion probe, and a retro-reflective optic adjacent the insertion tip. The retro-reflective optic is configured to return the light from the measurement optics through the chamber to the measurement optics. The insertion probe is configured to be remotely located from the measurement optics.

A remote sampling sensor for determining characteristics of a sample includes measurement optics and an insertion probe. The measurement optics are configured to emit light and detect returned light. The insertion probe includes a chamber, the chamber being configured to permit the sample to enter the chamber, an insertion tip at a distal end of the insertion probe, and a retro-reflective optic adjacent the insertion tip. The retro-reflective optic is configured to return the light from the measurement optics through the chamber to the measurement optics. The insertion probe is configured to be remotely located from the measurement optics.

Disclosed herein is a system and method for facilitating estimation of a spatial profile of an environment based on a light detection and ranging (LiDAR) based technique. In one arrangement, the present disclosure facilitates spatial profile estimation based on directing light over one dimension, such as along the vertical direction. In another arrangement, by further directing the one-dimensionally directed light in another dimension, such as along the horizontal direction, the present disclosure facilitates spatial profile estimation based on directing light in two dimensions.

Disclosed herein is a system and method for facilitating estimation of a spatial profile of an environment based on a light detection and ranging (LiDAR) based technique. In one arrangement, the present disclosure facilitates spatial profile estimation based on directing light over one dimension, such as along the vertical direction. In another arrangement, by further directing the one-dimensionally directed light in another dimension, such as along the horizontal direction, the present disclosure facilitates spatial profile estimation based on directing light in two dimensions.