A large-field-of-view, high-throughput and high-resolution pathological section analyzer includes an image collector for collecting a set of computing microscopic images of a pathological section sample; a data preprocessing circuit for iteratively updating the set of computing microscopic images by a multi-height phase recovery algorithm to obtain a low-resolution reconstructed image; an image super-resolution circuit for super-resolving the low-resolution reconstructed image according to a pre-trained super-resolution model to obtain a high-resolution reconstructed image; and an image analysis circuit for automatically analyzing the high-resolution reconstructed image according to different tasks, and specifically selecting different analysis models according to the different tasks to obtain corresponding auxiliary diagnosis results. Imaging visual field of the pathological section analyzer is hundreds of times that of the traditional optical microscope, a deep learning network is adopted to analyze pathological conditions of unstained pathological sections, so that the analysis process of pathological sections is simplified.

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.

A high-speed automatic scanning system for interpreting images with AI assistance and method using the same are provided. The system includes a control computer and an image capture platform. Scanning parameters of the image capture platform, including a helically-clockwise or helically-counterclockwise scanning path, is set by the control computer. After the scanning path is selected, the image capture platform aligns a camera to focus on a central block and respectively captures images of the central block's sub-blocks. Until all the blocks have been scanned, the image capture platform repeats the following procedure: moving the focusing position to a next neighboring block according to the scanning path, focusing on the next neighboring block, and capturing images of the sub-blocks of the next neighboring block. The present invention can fast perform scanning, exempted from performing focusing for every image, reducing the cycles and time of focusing.

Systems and methods in accordance with various embodiments of the invention are capable of rapid analysis and classification of cellular samples based on cytomorphological properties. In several embodiments, cells suspended in a fluid medium are passed through a microfluidic channel, where they are focused to a single stream line and imaged continuously. In a number of embodiments, the microfluidic channel establishes flow that enables individual cells to each be imaged at multiple angles in a short amount of time. A pattern recognition system can analyze the data captured from high-speed images of cells flowing through this system and classify target cells. In this way, the automated platform creates new possibilities for a wide range of research and clinical applications such as (but not limited to) point of care services.

An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

The present invention relates to a device and a method for microscopy (100) of a plurality of samples (102), wherein the device comprises:—a first optical detector (106, 108), which is designed to consecutively adopt a plurality of measuring positions and to detect first image data (200) of a sample (104) with a first spatial resolution at each measuring position;—an image data analyser device which is designed to determine for each sample (202) a region (204) of the sample to be examined represented within the first image data (200) in each case;—a second optical detector (110, 112), which is coupled to the first optical detector (106, 108) in such a manner that the second optical detector (110, 112) tracks the first optical detector (106, 108) and therefore the second optical detector (110, 112) adopts measuring positions which the first optical detector (106, 108) had previously adopted. The second optical detector (110, 112) is designed to detect for each sample (202) respective second image data (300) from the region (204) to be examined in the sample (202) concerned, with a spatial resolution that is higher than the first spatial resolution.

A specimen processing system includes a plate for supporting a specimen system, wherein the specimen system includes a container and a specimen contained therein. The specimen processing system further includes a camera disposed above the plate and configured to generate images of the specimen system, a light source disposed beneath the plate for radiating light towards the plate, a light stop for blocking a portion of the light from reaching the specimen system to produce darkfield illumination of the specimen at the camera, and one or more processors electronically coupled to the camera and configured to track a position of the specimen within the specimen container during a specimen processing protocol based on the images.

Provided is an image-acquisition apparatus that includes: a stage on which a specimen is mounted; an objective lens that collects light from the specimen mounted on the stage; a motor that drives the stage in the direction intersecting an optical axis of the objective lens; an imaging device that acquires images by capturing the light collected by the objective lens; and a processor comprising hardware, wherein the processor is configured to implement: a deterioration-level calculation unit configured to calculate deterioration levels contained in the acquired images; and an image generating unit configured to generate a pasted image by pasting the acquired images, wherein the image generating unit is configured to generate the pasted image by combining, for a common region of two images that are mutually pasted, an image with lower deterioration level calculated by the deterioration-level calculation unit at a higher combining ratio.

Embodiments disclose a device for testing biological specimen. The device includes a sample carrier and a detachable cover. The sample carrier includes a specimen holding area. The detachable cover is placed on top of the specimen holding area. The detachable cover includes a magnifying component configured to align with the specimen holding area. The focal length of the magnifying component is from 0.1 mm to 8.5 mm. The magnifying component has a linear magnification ratio of at least 1.

Apparatus and methods are described including staining a blood sample with one or more stains. A plurality of microscopic images of the stained blood sample are acquired, using a microscope. Staining-quality parameters for respective microscopic images are determined, using a computer processor, the staining-quality parameters being indicative of a quality of the staining within each of the respective microscopic images. An action is performed by the computer processor, based upon the staining-quality parameters of the respective microscopic images. Other applications are also described.