A system for detecting vibrations from a surface is provided. The system includes a coherent light source for projecting a multi-beam pattern onto the surface and an imaging device for mapping a speckle field generated by each spot formed on the surface by the multi-beam pattern to a unique region of an imaging sensor. The system further includes a processor for processing speckle field information received by the imaging sensor and deriving surface vibration information.

Provided is a sample property detecting apparatus including: a wave source configured to irradiate a wave towards a sample; a detector configured to detect a laser speckle that is generated when the wave is multiple-scattered by the sample, at every time point that is set in advance; and a controller configured to obtain a temporal correlation that is a variation in the detected laser speckle according to time, and to detect properties of the sample in real-time based on the temporal correlation, wherein the detector detects the laser speckle between the sample and the detector or from a region in the detector.

A photo-thermal speckle spectroscopy device having an infrared laser, a visible laser, a foam, and a camera. The infrared and visible lasers are focused on the foam, which causes the visible laser to scatter. A camera records the speckle pattern, which shifts when the IR laser is turned on. The related method of photo-thermal speckle spectroscopy is also disclosed.

A method of correcting distortion of an image, including: analyzing, by a processor, an image segment of the image to identify a speckle artifact, the image segment being obtained from a scanning imaging device; determining, by the processor, an aspect ratio of a shape of the speckle artifact; determining, by the processor, a correction factor for the shape of the speckle artifact based on the aspect ratio; and adjusting, by the processor, a dimension of the image segment based on the correction factor.

Laser speckle microrheology is used to determine a mechanical property of a biological tissue, namely, an elastic modulus. Speckle frames may be acquired by illuminating a coherent light and capturing back-scattered rays in parallel and cross-polarized states with respect to illumination. The speckle frames may be analyzed temporally to obtain diffuse reflectance profiles (DRPs) for the parallel-polarized and cross-polarized states. A scattering characteristic of particles in the biological tissue may be determined based on the DRPs, and a displacement characteristic may be determined based at least in part on a speckle intensity autocorrelation function and the scattering characteristic. A size characteristic of scattering particles may be determined based on the DRP for the parallel polarization state. The mechanical property may be calculated using the displacement and size characteristics.

An embodiment of the present disclosure provides an intestinal microorganism detection system including: a feces collection unit configured to collect the feces of a user: a storage unit including a plurality of accommodation units configured to accommodate a fecal sample, the fecal sample being formed by mixing the feces collected by the feces collection unit with fluid; a sensor unit configured to detect a microorganism in the fecal sample accommodated in each of the plurality of accommodation units and generate first information; and a control unit configured to estimate, on the basis of the generated first information, the type of intestinal microorganism present in the user and a concentration thereof, wherein the plurality of accommodation units are respectively exposed to different environmental conditions.

To increase the space efficiency of an imaging apparatus which deals with a speckle pattern. An imaging apparatus includes a first image sensor and a second image sensor. The first image sensor images light entering the first image sensor from an object through an optical system to generate image data of the object. The second image sensor images a speckle pattern formed by scattering of light striking the object to generate image data of the speckle pattern, the speckle pattern entering the second image sensor through the optical system. In the imaging apparatus, the first image sensor and the second image sensor are placed side by side in an optical axis direction of the optical system.

A multimode biological sample inspection apparatus and method is provided. The apparatus includes an illumination hardware arrangement comprising transmission and sensing hardware configured to inspect a biological sample using at least two modes from a group comprising a fluorescence imaging mode, a reflectance imaging mode, a scattering imaging mode, and a Raman imaging mode, and processing hardware configured to operate the illumination hardware arrangement according to a protocol comprising inspection settings of the at least two modes. The processing hardware receives scan results from the illumination hardware arrangement and identifies attributes of the biological sample by constructing a multidimensional dataset comprising at least one spatial dimension and at least one spectral dimension from the scan results and analyzing the multidimensional dataset. The processing hardware is configured to employ the attributes of at least one biological sample and alter the protocol.

A method of tracking an eye gaze include obtaining a pre-calibrated speckle map of the eye of the user, determining a starting position of the eye using the pre-calibrated speckle map, and tracking movement of the eye relative to the starting position by: directing a light beam at the eye, detecting a plurality of speckle patterns formed at a detector by a portion of the light beam reflected by the eye, and tracking movement of the eye relative to the starting position by tracking the plurality of speckle patterns from frame to frame.

Described herein are systems and methods for assessing a biological sample. The methods include: characterizing a speckled pattern to be applied by a diffuser; positioning a biological sample relative to at least one coherent light source such that at least one coherent light source illuminates the biological sample; diffusing light produced by the at least one coherent light source; capturing a plurality of illuminated images with the embedded speckle pattern of the biological sample based on the diffused light; iteratively reconstructing the plurality of speckled illuminated images of the biological sample to recover an image stack of reconstructed images; stitching together each image in the image stack to create a whole slide image, wherein each image of the image stack at least partially overlaps with a neighboring image; and identifying one or more features of the biological sample. The methods may be performed by a near-field Fourier Ptychographic system.