A medical image diagnostic apparatus includes a marker to be placed on a subject, at least one imaging unit configured to capture images of the subject and the marker, and a detection unit configured to detect movement of the marker from the images captured by the imaging unit. The marker includes a plurality of planar structures that can be detected by the detection unit, and the planar structures are spaced apart from each other with a distance no less than a predetermined distance.

An illumination unit emits an illumination light to a specimen. An image sensor includes multiple pixels arranged in a two-dimensional manner. The image sensor captures an image of the intensity distribution of an interference pattern formed due to the illumination light that has interacted with the specimen, and outputs image data. A defect information acquisition unit acquires defect position information that indicates the positions of defective pixels of the image sensor. A processing unit reconstructs a subject image that represents the specimen based on the image data and the defect position information.

Systems and methods for detecting motile objects (e.g., parasites) in a fluid sample by utilizing the locomotion of the parasites as a specific biomarker and endogenous contrast mechanism. The imaging platform includes one or more substantially optically transparent sample holders. The imaging platform has a moveable scanning head containing light sources and corresponding image sensor(s) associated with the light source(s). The light source(s) are directed at a respective sample holder containing a sample and the respective image sensor(s) are positioned below a respective sample holder to capture time-varying holographic speckle patterns of the sample contained in the sample holder. The image sensor(s). A computing device is configured to receive time-varying holographic speckle pattern image sequences obtained by the image sensor(s). The computing device generates a 3D contrast map of motile objects within the sample use deep learning-based classifier software to identify the motile objects.

According to an embodiment, a holographic microscope comprises a light source, an optical system splitting light emitted from the light source into an object and a reflective mirror and inducing interference between light reflected by the object or transmitted through the object and light reflected by the reflective mirror, a first image sensor receiving the interference light and sensing interference information for the interference light, a second image sensor receiving the light reflected by the object or transmitted through the object and sensing information for the received light, and an image processor deriving a shape of the object based on the interference information sensed by the first image sensor and the information sensed by the second image sensor.

Methods, systems and computer program products for performing visual quality assessment using holographic interferometry are provided. Aspects include obtaining a reference holographic pattern based on a reference object and obtaining a test holographic pattern based on a test object. Aspects also include creating an interference pattern by superimposing the test holographic pattern onto the reference holographic pattern. Aspects further include determining a difference between the reference object and the test object based upon the interference pattern.

The invention relates to a method for detecting a measured value (dϕ/dx, M). According to the invention, provision is made for a sinusoidal excitation signal (Ue) with a predetermined excitation frequency (f), with or without a superposed DC component (Uoffset), to be fed to an input of a component (100, C), for at least one electron holography measuring step to be carried out, in which an electron beam (Se) is directed on the component (100, C), said electron-beam penetrating and/or passing the component (100, C) and subsequently being superposed with a reference electron-beam (Sr), and for an electrical hologram (EHG) arising by interference of the two electron beams (Se, Sr) during a predetermined measurement window (F) to be measured and the phase image (PB) to be ascertained therefrom, and for the measured value (M) to be formed on the basis of the phase image (PB), wherein the temporal length (Tf) of the measurement window (F) of the electron holography measuring step is shorter than half the period (T) of the sinusoidal excitation signal (Uc).

A diffractive optical element (10) for a test interferometer (100) measures a shape of an optical surface (102). Diffractive shape measuring structures (16) are arranged on a used surface (14) of the element and generate a test wave (122) irradiating the surface when the element is arranged in the interferometer. At least one test field (18) several profile properties of test structures contained in the test field. The profile properties characterize a profile line of the test structures extending transversely with respect to the used surface and include a flank angle of the profile line, a profile depth and a depth of a microtrench in a bottom region of a trench-shaped profile of the test structures. The test field is arranged at one location of the used surface instead of the diffractive shape measuring structures such that the test field is surrounded by several diffractive shape measuring structures.

A method for light detection and ranging comprises a forming a first light pattern within a region of a scene by holographic projection. The first light pattern comprises n light spots arranged in a regular array. A light return signal is received from each light detection element of an array of light detection elements directed at the region of the scene. The intensity of the light return signals is assessed. If the light return signals do not meet at least one signal validation criterion, a second light pattern is formed within the region of the scene by holographic projection. The second light pattern comprises m light spots arranged in a regular array, wherein m ≠ n. A time-of-flight in association with each light spot of the second light pattern is then determined.

A LIDAR system comprises a spatial light modulator for displaying a diffractive pattern comprising a hologram of a structured light pattern that is projected onto a scene. The structured light pattern comprises an array of light spots and a light source for illuminating the diffractive pattern to form a holographic reconstruction of the light pattern. A detection subsystem comprises light detection elements that detect light from a respective individual field of view (FOV) of the scene and output a respective detected light signal. A first subset of the individual FOVs are illuminated by a light spot of the light pattern and a second subset are not illuminated by the light spot. The system comprises a processor for identifying noise in a first detected light signal, relating to an individual FOV of the first subset, using a second detected light signal, relating to an individual FOV of the second subset.

A composite pane and in particular a composite vehicle pane with an integrated light sensor, includes an outer pane and an inner pane that are joined to one another via at least one thermoplastic intermediate layer, and at least one light sensor with at least one light-sensitive surface that is arranged between the outer pane and the inner pane, wherein the light-sensitive surface faces the outer pane and a holographic optical element is arranged between the light-sensitive surface and the outer pane, and the holographic optical element is implemented as a hologram for incident-angle-dependent diffraction of the incident light.