Methods, systems, and devices for particle characterization by optical phase modulation and detection of aerosol backscattering. In some aspects, a compact and cost effective particle detector device to measure the aerosol density and its size distribution by backscattered focusing using projected optical modified field distribution imaging into the aerosol medium (air). The disclosed device can be used in a variety of scientific and industrial applications, e.g., such as a particle sensor for automobiles able to detect harmful pollution which may then be filtered from the car cabin, or warnings provided to the driver. The device can also capture and store data, enabling detailed pollution maps of various roadways in real-time.

A method of forming nanolenses for imaging includes providing an optically transparent substrate having a plurality of particles disposed on one side thereof. The optically transparent substrate is located within a chamber containing therein a reservoir holding a liquid solution. The liquid solution is heated to form a vapor within the chamber, wherein the vapor condenses on the substrate to form nanolenses around the plurality of particles. The particles are then imaged using an imaging device. The imaging device may be located in the same device that contains the reservoir or a separate imaging device.

A system and method to produce a hologram of a single plane of a three dimensional object includes an electromagnetic radiation assembly to elicit electromagnetic radiation from a single plane of said object, and an assembly to direct the elicited electromagnetic radiation toward a hologram-forming assembly. The hologram-forming assembly creates a hologram that is recorded by an image capture assembly and then further processed to create maximum resolution images free of an inherent holographic artifact.

A device in holographic imaging comprises: at least two light sources, wherein each of the at least two light sources is arranged to output light of a unique wavelength; and at least one holographic optical element, wherein the at least two light sources and the at least one holographic optical element are arranged in relation to each other such that light from the at least two light sources incident on the at least one holographic optical element interacts with the at least one holographic optical element to form wavefronts of similar shape for light from the different light sources.

A method of training AI for label-free cell viability determination includes a step of providing a cell sample, a step of obtaining a fluorescence image and a DHM image of the cell sample, a step of determining a first cell viability of the cell sample according to the fluorescence image of the cell sample, a step of labeling the DHM image of the cell sample as a model specifying the first cell viability, and a step of performing AI training by using the model containing the DHM image of the cell sample.

Digital holography is one of the most widely used label-free microscopy techniques in biomedical imaging. Recovery of the missing phase information of a hologram is an important step in holographic image reconstruction. A convolutional recurrent neural network (RNN)-based phase recovery approach is employed that uses multiple holograms, captured at different sample-to-sensor distances to rapidly reconstruct the phase and amplitude information of a sample, while also performing autofocusing through the same trained neural network. The success of this deep learning-enabled holography method is demonstrated by imaging microscopic features of human tissue samples and Papanicolaou (Pap) smears. These results constitute the first demonstration of the use of recurrent neural networks for holographic imaging and phase recovery, and compared with existing methods, the presented approach improves the reconstructed image quality, while also increasing the depth-of-field and inference speed.

Impurities within a sample are detected by use of holographic video microscopy. The sample flows through the microscope and holographic images are generated. The holographic image is analyzed to identify regions associated with large impurities in the sample. The contribution of the particles of the sample to the holographic images is determined and the impurities are characterized.

An image creation unit of a server creates and stores a plurality of phase images or the like having different resolutions on the basis of holographic data collected by a measuring terminal. In response to an image transmission request according to an operation, an image transmission processing unit of the server extracts data of an image corresponding to an observation range after the movement from an image of an appropriate resolution and transmits the data to the browsing terminal. In the browsing terminal, a display image is formed by overlaying a high-resolution phase image corresponding to only an observation range to be displayed on low-resolution phase image of an observation target area.

The invention relates to a method for tracking the amplification of a sequence of nucleotides in a sample (10). The sample is placed between a light source (12) and an image sensor (16). Under the effect of amplification reagents, mixed with the sample, a nucleotide sequence, called the target sequence, is replicated iteratively, amplifying the target sequence. The method includes the acquisition of an image representative of the formation of a precipitate in the sample under the effect of the amplification, on the basis of which an image of interest is formed. The application of a statistical indicator to the image of interest allows an indicator of the amplification of the target sequence to be determined.

The invention relates to a method for quantifying the level of agglutination of particles in a sample, in particular a biological sample, and notably blood. The biological sample is positioned between a light source and a matrix photodetector. The image acquired by the photodetector is representative of the level of agglutination of the particles in the sample. The light source emits a light wave, the spectral band of which extends an optimum 400 and 600 nm, which constitutes an optimum an excessively low absorption and excessively high absorption, given the thickness of the sample.