A holographic microscope configured to observe a sample is provided. The holographic microscope includes a light source, a light splitting element, a polarizing element, a phase modulation element, a light combining element, and a photosensitive element. The light source is configured to provide an illumination beam. The illuminating beam is transmitted through the light splitting element to form a first light beam and a second light beam, and the sample is disposed on a transmission path of the first light beam. The polarizing element and the phase modulation element are disposed on the transmission path of the first light beam or the second light beam. The first light beam and the second light beam are transmitted to the light combining element to form an interference beam. The photosensitive element is disposed on a transmission path of the interference beam to receive the interference beam to generate an optical signal.

A method for multi-spectral scattering-matrix tomography includes a step of splitting an input light signal into an incident light signal and a reference light signal. The sample light signal is directed to a sample in either a reflection configuration or a transmission configuration such that an output light signal includes light scattered from or transmitted through the sample. The incident signal and the reference light signal are directed to a camera angled to allow for amplitude and phase to be calculated by off-axis holography. A total light signal is measured with a camera that is a coherent sum of the reference light signal and the output signal. The total light signal for each light frequency and each incident angle are collected as collected total light signal data. A computing device derives an image of the sample from a calculated reflection matrix or transmission matrix or both of them.

A lens-free microscopic imaging system (11), which is used to image microbeads (15) with pattern codes, includes an illumination system (11a) and an imaging system (11b). The illumination system (11a) includes an illumination light source (111) and an excitation light source (112). The imaging system (11b) includes an image sensor (113). The illumination light source (111) is used to emit illumination light to irradiate the microbeads (15), causing the irradiated microbeads (15) to be imaged on the image sensor. The excitation light source (112) is used to emit excitation light to excite the microbeads (15) to generate specific signals. The image sensor (113) is used to collect the images of the microbeads (15) and the specific signals to generate images. The imaging system (11) does not require a lens system. The present disclosure improves a detection efficiency of the microbeads (15).

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.

The present invention discloses a method for detecting a microstructure of a functionally graded material based on digital acousto-optic holography, including the following steps: excite a sample with an ultrasonic wave; record a light wave; form a single tomographic acousto-optic hologram; perform numerical reconstruction of phase information, and perform global detection. The present invention uses an acoustic-optic modulation device to modulate a laser light source of a laser of a laser device to form two light waves of different frequencies. The two light waves each constitute a Mach-Zehnder interference system to record reflection wave information and transmission wave information of an ultrasound, and are finally combined and recorded in the same hologram to form the single tomographic acousto-optic hologram. A reflection-transmission dual-mode interference optical path is beneficial to avoiding the mutual interference of the reflection wave information and the transmission wave information, and being able to improve the integrity of information record and information redundancy by using time delay integration with point sensing and surface output to scan CCD through an image collector and cooperate with a synchronous control system to perform surface scanning and record for information of an ultrasound carrier.

An advance in high-resolution optical metrology has been achieved by the introduction of incoherent holographic imaging. FINCH, an example of incoherent holography, is shown to simplify the process, eliminating many steps in metrology and at the same time increasing throughput, resolution and accuracy of the method. A proposed technique requires only a single image capture with a non-moving camera rather than the capture of multiple stacks of images requiring many camera exposures and movement of the camera or sample in the conventional techniques.

In an embodiment, the present disclosure pertains to a method of performing circulating tumor cell (CTC) analysis. In general, the method includes flowing a sample through a CTC microfluidic platform, deforming a CTC within the sample, measuring CTC deformation through an imprint of the deformed CTC, processing data related to the measuring, and at least one of identifying or characterizing parameters related to the data that enables at least one of detection of CTCs, enumeration of CTCs in the sample, characterization of biophysical properties, CTC cell size, CTC cell membrane deformability, stresses on CTC cell membranes, adhesion stress on CTC cells, normal stress of CTC cells, or combinations thereof. In some embodiments, the flowing includes passing the sample through at least one channel of the CTC microfluidic platform having a constricted section.

A holographic microscopy characterization (HMC) process for utilizing holographic video microscopy to provide an efficient, automated, label-free method of accurately identifying cell viability. Optical properties of a sample of cells are determined by HMC. The optical properties are compared to known samples or compared over time to observe changes in the optical properties, enabling identification of cells as viable or not viable, or as extra-cellular or degraded cellular materials.

A 3D optical microscope device of a small form factor optical system is disclosed. A transmission optical system device comprises a first lens having a left side disposed in contact with an input plane, and a second lens having a right side disposed in contact with a rear focal plane and disposed at a position spaced apart by a focal length of the first lens. The first lens and the second lens Fourier-transform a light signal incident on the input plane and output the transformed signal to the rear focal plane.

A holographic imaging device and method realizes both a transmission type and a reflection type, and also realizes a long working distance wide field of view or ultra-high resolution. Object light emitted from an object, sequentially illuminated with parallel illumination light whose incident direction is changed, is recorded on a plurality of object light holograms for each incident direction using off-axis spherical wave reference light. The reference light is recorded on a reference light hologram using in-line spherical wave reference light being in-line with the object light. An object light wave hologram and its spatial frequency spectrum at the object position are generated for each incident direction using each hologram. A synthetic spectrum which occupies a wider frequency space is generated by matching each spectrum in the overlapping area, and a synthetic object light wave hologram with increased numerical aperture is obtained thereby.