Some embodiments relate to a data analysis system is presented for inspecting unstained biological cells during fast flow. The data analysis system comprises: a data input utility, and data processor. The data input utility receives raw measured data comprising measured data pieces corresponding to a stream of raw data containing wavefront acquisitions collected from said unstained biological cell under inspection being obtained from the unstained biological cell during the fast flow. The data processor and analyzer is configured and operable to apply to said raw measured data real time processing by a trained neural network model and extract cell-related data.

A lens-free system for the three-dimensional imaging of objects contained within a sample places a sample holder between an image sensor and an illumination source, with the sample-sensor distance being much smaller than the sample-illumination source distance. Holographic images are taken at different angles as well as different lateral jogs within a single angle and are reconstructed into a three dimensional image of objects within the sample. The system may be a hand held, portable unit.

The imaging apparatus includes an optical system dividing light into object and reference beams and causing the object beam and the reference beam to interfere with each other to form interference fringes on an image sensor. A processor performs multiple imaging processes for the interference fringes with different incident angles of the object beam to an object, a first process to acquire a transmitted wavefront for each incident angle and a second process to calculate a three-dimensional refractive index distribution from the transmitted wavefronts. The apparatus includes a modulator changing a phase distribution of light in any one of an optical path from a light source to a dividing element, a reference beam path and an optical path from a combining element to the image sensor and causes the modulator to change the phase distribution in at least one of the multiple imaging processes.

Examples include imaging one or more objects contained inside a droplet. A method includes generating at least one hologram of the one or more objects contained in the droplet by using in-line lens-free imaging. The at least one hologram includes at least one artifact that is caused by the droplet and that affects the at least one characteristic of the one or more objects contained in the droplet. The method includes at least partially removing the at least one artifact or the cause of the at least one artifact. The method further includes generating an image, after or during removing the at least one artifact or the cause of the at least one artifact. The image includes the one or more objects. The method also comprises recognizing the at least one characteristic of the one or more objects based on the image.

A three-dimensional image simulation device for managing a live event comprising an image capturing device for capturing live captured data corresponding to a presenter and generating, in real-time, hologram data based on the live captured data. An output interface for broadcasting the hologram data in real-time to at least one additional location containing an audience, wherein the hologram data is used to create a hologram of the presenter at the at least one additional location based on an apparent parallax effect in a simulated three-dimensional display device, the hologram creating a three-dimensional illusion for the audience regarding actual presence of the presenter at the at least one additional location. Furthermore, an input interface for receiving audience data from the at least one additional location regarding interaction between the hologram and the audience and a display device for displaying images based on audience data to the presenter.

A system and method of providing internet-based teaching utilizing a holographic projection is disclosed. The system receives a query from a user via a user device. The system parses the query and generates a response to the query. The system generates a holographic image emulating a real-life educator. Further, the system generates a voice response corresponding to the response. The system integrates the holographic image and the voice response and presents it at the user device in order to create an impression that a real-life professor responded to the query. The system captures the essence of in-person instruction, offering students a uniquely engaging and adaptive educational journey in the digital realm.

An embodiment of the present invention provides an image information acquisition device comprising: a sample unit for accommodating a sample; a driver for moving the sample unit in a first direction; a light source for irradiating light to a partial region of the sample unit; an optical mirror for reflecting the light having passed through the sample unit, by scattering or diffraction of the light; an image sensor for recording in time-series an interference image generated by light reflected from the optical mirror; and a controller for generating image information of the sample based on a time-dependent change of the interference image.

A display panel (1) comprising a body of optical material, the body having at least one optical image recorded therein in an encoded manner, wherein the image is selectively reconstructable and viewable (5, 6, 7) by illuminating the panel (1) using at least one light source (3a, 3b, 3c) under selected illumination conditions, wherein the image is reconstructable and viewable (5, 6, 7) such that at least one first optical property or parameter of the reconstructed image (e.g. its geometry, position in space, colour, its dynamic appearance) is selectable in value from amongst variable values of the at least one first optical property or parameter, or whose value is actively modifiable over time, as a function of or in dependence on the value of at least one second optical property or parameter of the illumination conditions of the at least one light source (e.g. its/their position(s) or spacing(s) relative to the panel (1), its/their colour, brightness/optical intensity, polarisation, direction of light ray propagation, application of a scanning technique to illuminate the panel (1)) which is selectable from amongst variable values thereof or which is actively modifiable in value over time.

A particulate matter detection device takes holographic images of flowing particulate matter concentrated by a virtual impactor, which selectively slows down and guides larger particles to fly through an imaging window. The flowing particles are illuminated by a pulsed laser diode, casting their inline holograms on a CMOS image sensor in a lens-free mobile imaging device. The illumination contains three short pulses with a negligible shift of the flowing particle within one pulse and triplicate holograms of the same particle are recorded at a single frame revealing different perspectives of each particle. A deep neural network classifies the particles based on the acquired holographic images. The device was tested using different types of pollen and achieved a blind classification accuracy of 92.91%. This mobile and cost-effective device weighs 700 g and can be used for label-free sensing and quantification of various bio-aerosols over extended periods.