A method and apparatus of a device that classifies an image is described. In an exemplary embodiment, the device segments the image into a region of interest that includes information useful for classification and a background region by applying a first convolutional neural network. In addition, the device tiles the region of interest into a set of tiles. For each tile, the device extracts a feature vector of that tile by applying a second convolutional neural network, where the features of the feature vectors represent local descriptors of the tile. Furthermore, the device processes the extracted feature vectors of the set of tiles to classify the image.

Herein is described kinetic assay, in which individual binding events are detected and monitored during sample incubation. This method uses interferometric reflectance imaging to detect thousands of individual binding events across a multiplex solid phase sensor with a large area. A dynamic tracking procedure is used to measure the duration of each event. From this, the total rates of binding and de-binding as well as the distribution of binding event durations are determined. Systems and components for performing the kinetic assay are also described.

Provided is a method of measuring uniformity of a signal line pattern formed on a printed circuit board. The method includes acquiring, by a microscope camera, an image by photographing straight-line shaped dummy signal line patterns formed side by side in a lateral or longitudinal direction on a surface of the outer-layer board, receiving, by a processor included in computing equipment, the image from the microscope camera and marking a first virtual line and a second virtual line, which cross the dummy signal line patterns in the longitudinal direction, on the image, generating, by a user interface included in the computing equipment, intersection points between the first and second virtual lines and the dummy signal line patterns on the image according to manipulation of a measurer, calculating, by the processor, a first distance value between adjacent intersection points located on the first virtual line and a second distance value between adjacent intersection points located on the second virtual line, and measuring, by the processor, uniformity of the signal line pattern on the basis of a difference value between the first distance value and the second distance value.

A system for identifying biomarkers in a digital image of a Hematoxylin and Eosin-stained slide of a target tissue includes a processor and an electronic network; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: process segmented tile images determine a predicted biomarker presence; and transmit the predicted presence. A non-transitory computer-readable medium includes a set of computer-executable instructions that, when executed by one or more processors, cause a computer to: process segmented tile images; determine a predicted biomarker presence; and transmit the predicted presence. A computer-implemented method includes processing segmented tile images; determining a predicted biomarker presence; and transmitting the predicted presence.

The disclosure provides a method of generating an artificial fluorescent image of cells is provided. The method includes receiving a brightfield image generated by a brightfield microscopy imaging modality of at least a portion of cells included in a specimen, applying, to the brightfield image, at least one trained model, the trained model being trained to generate the artificial fluorescent image based on the brightfield image, receiving the artificial fluorescent image from the trained model

The invention provides an integrated digital microscope system comprising a camera, a lens and a screen to view an object characterised in that an integrated circuit comprises a video buffer write block, a grid generator block, and a video buffer read block configured to correct lens distortion errors in an image appearing on said screen. The invention also provides an integrated digital microscope system configured to remove chromatic distortion errors.

The usability in annotating an image of a subject derived from a living body is improved. An image analysis method is implemented by one or more computers and includes: displaying a first image that is an image of a subject derived from a living body; acquiring information regarding a first region based on a first annotation added to the first image by a user (S101); specifying a similar region similar to the first region from a region different from the first region in the first image, or a second image obtained by image capture of a region including at least a part of a region of the subject subjected to capture of the first image, based on the information regarding the first region (S102, S103); and displaying a second annotation in a second region corresponding to the similar region in the first image (S104).

A cell culture evaluation device includes at least one processor. The processor is configured to acquire a cell image obtained by imaging a cell that is being cultured, to input the cell image to an image machine learning model and output an image feature amount set composed of a plurality of types of image feature amounts related to the cell image from the image machine learning model; and to input the image feature amount set to a data machine learning model and output an expression level set composed of expression levels of a plurality of types of ribonucleic acids of the cell from the data machine learning model.

A method for obtaining a Fourier ptychography image using a smartphone comprises the steps of: (a) sequentially providing illumination of different angles to the sample by sequentially displaying, according to a first pattern composed of point light sources at different positions, the point light sources of the first pattern on a display of the smartphone; (b) obtaining an image for each illumination angle of the sample using a camera of the smartphone whenever illumination of different angles is provided by the point light sources of the first pattern; and (c) restoring a first Fourier ptychography image using a plurality of images for each illumination angle obtained using the camera of the smartphone.

A method of viewing a live image from a microscope through a camera lens of a first personal electronic device is described. The method includes receiving one or more optic powers of a microscope taking the live image entered into a first graphical user interface displayed on a screen of the first personal electronic device, and projecting a measurement tool on a second graphical user interface displayed on the screen of the first personal electronic device with units of measurement based on the entered optic powers. One or more non-transitory, computer-readable storage media and a computer or computer system are also described. Hardware designed to connect a personal electronic device such as a smartphone to a microscope for viewing of a live microscope image through the camera lens of the personal electronic device is also described.