A system for performing adaptive focusing of a microscopy device comprises a microscopy device configured to acquire microscopy images depicting cells and one or more processors executing instructions for performing a method that includes extracting pixels from the microscopy images. Each set of pixels corresponds to an independent cell. The method further includes using a trained classifier to assign one of a plurality of image quality labels to each set of pixels indicating the degree to which the independent cell is in focus. If the image quality labels corresponding to the sets of pixels indicate that the cells are out of focus, a focal length adjustment for adjusting focus of the microscopy device is determined using a trained machine learning model. Then, executable instructions are sent to the microscopy device to perform the focal length adjustment.

A dark field digital holographic microscope is disclosed which is configured to determine a characteristic of interest of a structure. The dark field digital holographic microscope comprises an illumination device configured to provide at least: a first beam pair comprising a first illumination beam of radiation (1010) and a first reference beam of radiation (1030) and a second beam pair comprising a second illumination beam of radiation (1020) and a second reference beam of radiation (1040); and one or more optical elements (1070) operable to capture a first scattered radiation and to capture a second scattered radiation scattered by the structure resultant from the first and second illumination beams respectively. The beams of the first beam pair are mutually coherent and the beams of the second beam pair are mutually coherent. The illumination device is configured to impose incoherence (ADI) between the first beam pair and second beam pair.

A method for analyzing microorganisms arranged in a sample is provided, the sample including a viability marker to modify an optical property of the microorganisms in different ways depending on whether they are dead or alive, the method including illumination of the sample and acquisition of an image of the latter by an image sensor, the image sensor then being exposed to an exposure light wave; determining positions of different microorganisms from the acquired image; applying a propagation operator to calculate at least one characteristic value of the exposure light wave at each radial position and at a plurality of distances from the detection plane representing a change in the characteristic value between the image sensor and the sample; and identifying living microorganisms according to each profile.

According to an aspect of the present inventive concept there is provided an imaging system for imaging of a sample, comprising a light source, an interference filter and a detector, the light source generates illumination light of a single wavelength to induce elastic scattering of the light by the sample, the interference filter selectively reduces transmittance of light having an incident angle on the interference filter corresponding to non-scattered light, the detector is configured to detect a two-dimensional representation of the elastically scattered light transmitted by the interference filter.

Apparatus and methods for 3D-Scanless Holographic Optogenetics with Temporal focusing (3D-SHOT), which allows precise, simultaneous photo-activation of arbitrary sets of neurons anywhere within the addressable volume of the microscope. Soma-targeted (ST) optogenetic tools, ST-ChroME and IRES-ST-eGtACR1, optimized for multiphoton activation and suppression are also provided. The methods use point-cloud holography to place multiple copies of a temporally focused disc matching the dimensions of a designated neuron's cell body. Experiments in cultured cells, brain slices, and in living mice demonstrate single-neuron spatial resolution even when optically targeting randomly distributed groups of neurons in 3D.

An in-line holographic microscope can be used to analyze on a frame-by-frame basis a video stream to track individual colloidal particles' three-dimensional motions. The system and method can provide real time nanometer resolution, and simultaneously measure particle sizes and refractive indexes. Through a combination of applying a combination of Lorenz-Mie analysis with selected hardware and software methods, this analysis can be carried out in near real time. An efficient particle identification methodology automates initial position estimation with sufficient accuracy to enable unattended holographic tracking and characterization.

The present disclosure provides improved systems and methods for automated cell identification/classification. More particularly, the present disclosure provides advantageous systems and methods for automated cell identification/classification using shearing interferometry with a digital holographic microscope. The present disclosure provides for a compact, low-cost, and field-portable 3D printed system for automatic cell identification/classification using a common path shearing interferometry with digital holographic microscopy. This system has demonstrated good results for sickle cell disease identification with human blood cells. The present disclosure provides that a robust, low cost cell identification/classification system based on shearing interferometry can be used for accurate cell identification. For example, by combining both the static features of the cell along with information on the cell motility, classification can be performed to determine the type of cell present in addition to the state of the cell (e.g., diseased vs. healthy).

The present invention provides a composition for hologram recording, a hologram recording medium and a hologram that are capable of realizing excellent diffraction characteristics and an optical device and an optical member using same. The present invention is capable of providing a composition for hologram recording containing at least a radical polymerizable monomer and a matrix resin, in which a cross-sectional observation image at the time of observing a hologram recording film by atomic force microscopy (AFM) has a diffraction grating structure indicating that there is a material density difference that can be observed by the AFM.

Holographic Video Microscopy analysis of non-spherical particles is disclosed herein. Properties of the particles are determined by application of light scattering theory to holography data. Effective sphere theory is applied to provide information regarding the reflective index of a sphere that includes a target particle. Known particles may be co-dispersed with unknown particles in a medium and the holographic video microscopy is used to determine properties, such as porosity, of the unknown particles.

According to an embodiment, a holographic microscope comprises a light source emitting light to an object, a beam splitter reflecting the light emitted from the light source to the object and transmitting object light reflected from the object, a holographic image sensor sensing information, including a holographic image, by receiving the object light and allowing the object light to coherently interfere with reference light, and an image processor obtaining three-dimensional (3D) information about the object based on the information sensed by the holographic image sensor. The holographic image sensor includes a lens focusing the object light to the holographic image sensor, a filter transmitting a predetermined wavelength band of light of the focused object light, a light receiving unit receiving interference light to sense a holographic image, and a reference light source directly emitting the reference light having the predetermined wavelength band to the light receiving unit.