G06V20/693

APPARATUS AND METHOD OF OBTAINING AN IMAGE OF A SAMPLE IN MOTION
20220150394 · 2022-05-12 ·

A method is used to generate an analysis image of a moving sample based on one or more exposures. An illumination source illuminates a field of view of a camera for one or more pulses while the sample moves through the field of view. The distance moved by the sample during each of these one or more pulses may be less than the size of one pixel in an image captured by the camera.

Cell recognition

Disclosed herein are cell differentiating systems for differentiating cells. The systems comprise an input means for receiving a reconstructed image of a cell based on a holographic image of the cell in suspension, and a cell recognition means for determining cell characterization features from the reconstructed image of the cell for characterization of the cell. The cell recognition means thereby is configured for determining, as cell recognition features, image moments.

DIGITAL MICROSCOPE WITH ARTIFICIAL INTELLIGENCE BASED IMAGING

The invention relates to the domain of microscope based imaging. The invention provides methods and apparatuses for providing improved microscope based digital imaging solutions that are capable of providing high quality images with a high level of image detail. The invention additionally provides solutions for artificial intelligence based controlling of a digital microscope's imaging functions to enable bright field/dark field imaging functionality to be combined with spectroscopic functions to obtain higher detail and more meaningful information about a specimen sample.

Devices and methods for tissue and cell staining
11326989 · 2022-05-10 · ·

Devices and systems are provided herein relating to a novel and rapid assay for tissue staining. Methods for using the devices and systems for analyzing tissue samples are also disclosed.

Portable biological microscopic image analysis system

A portable biological microscopic image analysis system is suitable for analyzing a sample on a slide in real time, and the sample comes from an animal. The portable biological microscopic image analysis system includes a handheld electronic device and a microscope kit; the handheld electronic device includes an image capture unit, an image analysis module electrically connected to the image capture unit, and a real-time state analysis module electrically connected to the image analysis module; the microscope kit is detachably mounted on the handheld electronic device; wherein the image capture unit is used to obtain an image related to the sample through the microscope kit, the image analysis module is used to obtain cell information corresponding to the animal according to the image, and the real-time state analysis module is used to obtain state information corresponding to the animal according to the cell information.

Spectral unmixing of fluorescence imaging using radiofrequency-multiplexed excitation data

Disclosed herein include embodiments of a system, a device, and a method for sorting a plurality cells of a sample. A plurality of raw images comprising pixels of complex values in a frequency space can be generated from a plurality of channels of fluorescence intensity data of fluorescence emissions of fluorophores, the fluorescence emissions being elicited by fluorescence imaging using radiofrequency-multiplexed excitation in a temporal space. Spectral unmixing can be performed on the raw images prior to a sorting decision being made.

Method and apparatus for displaying an augmented-reality image corresponding to a microscope view
11328485 · 2022-05-10 · ·

A method of displaying an augmented reality (AR) image includes controlling an AR display to display the AR image as being at least partially overlaid over a view through a microscope while the view is visible to a user of the microscope, wherein the AR image includes a cursor; receiving a user input from a user interface; setting an anchor point based on the user input; updating the AR image to include the anchor point; controlling the AR display to display the updated AR image; detecting a motion of a slide of the microscope; adjusting the AR image by moving at least one from among the cursor and the anchor point within the AR image based on the detected motion; and controlling the AR display to display the adjusted AR image.

High-throughput imaging platform

A microfluidic device capable of trapping contents in a manner suitable for high-throughput imaging is described herein. The microfluidic device may include one or more trapping devices, with each trapping device having a plurality of trapping channels. The trapping channels may be configured to receive contents via an inlet channel that connects a sample reservoir to the trapping channels via fluid communication. The trapping channels are shaped such that contents within the trapping channels are positioned for optimal imaging purposes. The trapping channels are also connect to at least one exit channel via fluid communication. The fluid, and contents within the fluid, may be controlled via hydraulic pressure.

ASSAYS WITH REDUCED INTERFERENCE (III)
20220137038 · 2022-05-05 · ·

The present invention provides devices, systems, and methods, for performing biological and chemical assays.

Systems and Methods for Digital Pathology

Systems and methods for digital pathology in accordance with embodiments of the invention obtain a whole slide image of a microscope slide that includes a registration mark, wherein the registration mark is associated with a coordinate system. The method inputs the whole slide image into a region identification (RI) model to extract features of the whole slide image and generate feature vectors for the extracted features, detects a presence of a region of interest (ROI) based on the feature vectors, determines a set of coordinates of the ROI in the coordinate system, and translates a microscope stage of a microscope holding the microscope slide to a position corresponding to the coordinates of the ROI. The method captures a field of view (FOV) image with the microscope and inputs the FOV image into a grading model to determine a pathology score that indicates a likelihood of a presence of a disease.