A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.

A visualization system includes an optical recording unit configured to capture optical signals characterizing at least one partial region of an object, a 3D reconstruction unit configured to ascertain spatial data sets, which describe the partial region of the object, based on the captured optical signals, a hologram computational unit configured to ascertain control data for producing a holographic presentation based on the spatial data sets of the partial region of the object, and a visualization unit configured to visualize a holographic presentation of the at least one partial region of the object for a user of the visualization system based on the control data. In addition, a suitable method for producing holographic presentations from optical signals is provided.

A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.

Disclosed is a method of generating a volume hologram using a point cloud and a mesh, in which a weight is given to a brightness of a light source according to a direction of a light in order to record a hologram of better quality. The method includes: (a) acquiring multi-view depth and color images; (b) generating point cloud data of a three-dimensional object from the acquired multi-view depth and color images; (c) generating mesh data of the three-dimensional object from the point cloud data of the three-dimensional object; (d) calculating a normal vector of each mesh from the mesh data of the three-dimensional object; (e) extracting three-dimensional data at a user viewpoint from the mesh data of the three-dimensional object by using the normal vector of the mesh; and (f) generating hologram data from three-dimensional data at the user viewpoint.

A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.

Methods and systems (terminals, devices) for the generation, the retrieval and the display of computer-generated holographic images through a head-mounted display. The holographic images may be used as virtual retrievable tags for display in augmented reality.

The embodiment of the present application discloses a method, device, system and storage medium for displaying a holographic portrait in real time, applicable to reducing latency and achieving real-time display. A method in the application embodiment comprises: acquiring portrait data of a figure through somatosensory equipment; acquiring portrait data within a preset range as effective portrait data; blurring and storing the effective portrait data; sending the blurred effective portrait data to holographic display equipment frame by frame based on a first-in first-out principle, so as to display the effective portrait data of the figure on holographic projection of the holographic display equipment in real time, achieve real-time display of the holographic portrait, have a lower latency and improve user experience.

Disclosed are a method and a system for image processing and data transmission in a network-based multi-camera environment. The inventive concept provides a real-time high-efficiency 3D/hologram image service to the user through an in-network computing technology. In detail, the inventive concept minimizes loss of a quality of a final 3D/hologram image while reducing an amount of information that is to be transmitted through processing of a plurality of cameras by allowing information captured by the cameras to be efficiently processed and transmitted when the cameras cooperate with each other to produce a 3D/hologram image.

Embodiments of the present application disclose a sharing method and a sharing device. The method comprises: determining at least one piece of first information associated with a field of view of at least one user; and determining a transmission policy of at least one hologram of the at least one user at least according to the at least one piece of first information, wherein the transmission policy comprises: a sequence that is determined, for any one of the at least one user, at least according to a degree of association between a field of view of at least one other user among the at least one user and a field of view of the any user and is for transmitting at least one hologram of the any user to the at least one other user.

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.