Abstract: An analysis system for a translucent bodily fluid includes a flow chamber for the translucent bodily fluid defining an imaging section therein, an illumination source arranged to provide illumination light to said imaging section of said flow chamber, an optical sensor arranged proximate to said flow chamber and arranged to receive light after passing through said flow chamber, said optical sensor providing detection signals, and a processor arranged to communicate with said optical sensor to receive said detection signals therefrom. The illumination source provides at least partially coherent light to said imaging section of said flow chamber such that said detection signals correspond to a two-dimensional image, and the processor is configured to extract information from said two-dimensional image for particles when present within the translucent bodily fluid passing through said flow chamber.

Abstract: Systems and methods for detecting objects in a holographic image are provided. The techniques include obtaining a holographic image having one or more objects depicted therein. A set of object templates is obtained. The set of object templates represents objects to be detected in the holographic image. One or more objects are detected in the holographic image using the set of object templates by iteratively computing a phase (?) of the optical wavefront at the hologram plane, background illumination (?). and encoding coefficients (A) for the set of object templates, until converged.

Abstract: Systems and methods are provided for counting particles in a fluid flow. In an aspect, coordinates of particles are obtained from video data of particles in a fluid, the video data made up of a sequence of image frames. The particle positions are linked in each pair of consecutive image frames of the video data. The linked particle positions are used to calculate particle trajectories through sequential image frames of the video data, and the particles are counted based on the particle trajectory. In another aspect, the particle positons within each image frame are transformed to estimated positions within a common coordinate frame. The estimated particle positions of a particle are grouped into a cluster center, and the particle count is calculated based on the cluster centers.

Abstract: Systems and methods for detecting objects in a holographic image are provided. The techniques include obtaining a holographic image having one or more objects depicted therein. A set of object templates is obtained. The set of object templates represents objects to be detected in the holographic image. One or more objects are detected in the holographic image using the set of object templates by iteratively computing a phase (?) of the optical wavefront at the hologram plane, background illumination (?). and encoding coefficients (A) for the set of object templates, until converged.

Abstract: Systems and methods are provided for counting particles in a fluid flow. In an aspect, coordinates of particles are obtained from video data of particles in a fluid, the video data made up of a sequence of image frames. The particle positions are linked in each pair of consecutive image frames of the video data. The linked particle positions are used to calculate particle trajectories through sequential image frames of the video data, and the particles are counted based on the particle trajectory. In another aspect, the particle positions within each image frame are transformed to estimated positions within a common coordinate frame. The estimated particle positions of a particle are grouped into a cluster center, and the particle count is calculated based on the cluster centers.

Abstract: Systems and methods are provided for counting particles in a fluid flow. In an aspect, coordinates of particles are obtained from video data of particles in a fluid, the video data made up of a sequence of image frames. The particle positions are linked in each pair of consecutive image frames of the video data. The linked particle positions are used to calculate particle trajectories through sequential image frames of the video data, and the particles are counted based on the particle trajectory. In another aspect, the particle positons within each image frame are transformed to estimated positions within a common coordinate frame. The estimated particle positions of a particle are grouped into a cluster center, and the particle count is calculated based on the cluster centers.

Abstract: A system for lens-free imaging includes a processor in communication with a lens-free image sensor. The processor is programmed to operate the image sensor to obtain a hologram ??. The processor is further programmed to generate, from the hologram, a reconstructed image X and phase W at a focal depth z using an assumption of sparsity.

Abstract: Systems and methods are provided for counting particles in a fluid flow. In an aspect, coordinates of particles are obtained from video data of particles in a fluid, the video data made up of a sequence of image frames. The particle positions are linked in each pair of consecutive image frames of the video data. The linked particle positions are used to calculate particle trajectories through sequential image frames of the video data, and the particles are counted based on the particle trajectory. In another aspect, the particle positions within each image frame are transformed to estimated positions within a common coordinate frame. The estimated particle positions of a particle are grouped into a cluster center, and the particle count is calculated based on the cluster centers.

Abstract: A system for detecting objects in a specimen includes a chamber for holding at least a portion of the specimen. The system also includes a lens-free image sensor for obtaining a holographic image of the portion of the specimen in the chamber. The system further includes a processor in communication with the image sensor, the processor programmed to obtain a holographic image having one or more objects depicted therein. The processor is further programmed to obtain at least one object template representing the object to be detected, and to detect at least one object in the holographic image.

Abstract: A system for lens-free imaging includes a processor in communication with a lens-free image sensor. The processor is programmed to operate the image sensor to obtain a hologram ??. The processor is further programmed to generate, from the hologram, a reconstructed image X and phase W at a focal depth z using an assumption of sparsity.

Abstract: The present disclosure provides a system for lens-free imaging that includes a processor in communication with a lens-free imaging sensor. The processor is programmed to operate the imaging sensor to obtain a holographic image and to extract, from the holographic image, a plurality of patches, wherein the plurality of patches is a set of all fixed-size patches of the holographic image. The processor is also programmed to generate a dictionary D comprising a plurality of atoms, wherein the dictionary is generated by solving min ? , D ? ? i = 1 N ? E ? ( x i , D , ? i ) + ? ? ? R ? ( ? i ) , where N is the number of patches in the plurality of patches, xi is the ith patch of the plurality of patches, ?i represents the coefficients encoding the ith patch, E(xi, D, ?i) is a function measuring the squared error of the approximation of xi by the weighted combination of dictionary elements, and ?R (?i) is sparsity term.