Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a suitable propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.

The invention relates to a method for generating holograms for encoding in a spatial light modulation device for a holographic display for representing a two- and/or three-dimensional scene. The two- and/or three-dimensional scene is decomposed into object points and encoded in a hologram, which is subdivided into subholograms, in the spatial light modulation device. The object points of the scene are encoded into encoding regions on the spatial light modulation device. A size and/or shape of the encoding region is selected in relation to a size and/or shape of a subhologram, assigned to the encoding region, in such a way that crosstalk of higher diffraction orders in a virtual visibility region is reduced.

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.

Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a suitable propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.

Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a sui table propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.

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.

Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a sui table propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.

The invention relates to a method for generating holograms for encoding in a spatial light modulation device for a holographic display for representing a two- and/or three-dimensional scene. The two- and/or three-dimensional scene is decomposed into object points and encoded in a hologram, which is subdivided into subholograms, in the spatial light modulation device. The object points of the scene are encoded into encoding regions on the spatial light modulation device. A size and/or shape of the encoding region is selected in relation to a size and/or shape of a subhologram, assigned to the encoding region, in such a way that crosstalk of higher diffraction orders in a virtual visibility region is reduced.

In a method of providing 3D teeth alignment image display services using a computer system including at least one orthodontist terminal and a server computer connected to a network, a target teeth information on an orthodontic patient may be received from the orthodontist terminal or an orthodontic patient terminal such that three or four images of a display are respectively projected onto a pyramidal three-sided or four-sided projection plate and thus the orthodontic patient checks a 3D hologram of his/her virtually aligned teeth, a virtually aligned teeth information that is obtained based on the target teeth information may be transformed to three-view or four-view image information outputtable by the display such that the virtually aligned teeth information is projectable onto the three-sided or four-sided projection plate, and the three-view or four-view image information may be transmitted to the orthodontist terminal.

Hybrid white-light viewable holograms and methods for making them. The holograms are hybrid reflection holograms made using the diffractive structures or gratings of a holographic object such as a transmission hologram or holographic optical element (HOE). The wavefronts of the diffractive structures are converted into a reflection hologram by scanning them with a coherent light source having a profiled narrow beam. The hybrid reflection hologram can exhibit display parameters including the multiple colors, solidity, and color stability of white light reflection holograms, the diffractive color shifting of a white light transmission hologram, three dimensional imaging and a wide variety of dynamic changes. Different areas or images with each of these effects can be combined in a single hologram. These hybrid reflection holograms are ideal for security and forgery prevention applications.