Example methods and systems train an end-to-end neural network machine to analyze images of lateral flow assay test strips by learning non-linear interactions among lighting variations, test strip reflections, bi-directional reflectance distribution functions, angles of imaging, response curves of smartphone cameras, or any suitable combination thereof. Such example methods and systems improve the limit of detection, the limit of quantification, and the coefficient of variation in the precision of quantitative test results, under ambient light settings.

An analysis device configured to analyze a correlation between feature values in a cell in response to a stimulus includes: a cell-image acquiring unit configured to acquire a plurality of cell images in which the cell that is stimulated is captured; a feature value calculating unit configured to calculate a feature value for constituent elements that form the cell, based on the plurality of cell images acquired by the cell-image acquiring unit; a correlation calculating unit configured to use the feature value calculated by the feature value calculating unit and to calculate correlations between the constituent elements; a correlation selecting unit configured to select a first correlation from the correlations calculated by the correlation calculating unit; and an image selecting unit configured to select a first cell image from the plurality of cell images that are captured, based on the first correlation that is selected.

X-ray images generated by a biopsy tissue handling apparatus are selectively modified to emphasize areas of interest and deemphasize or eliminate image areas that are distracting, impair view attention and/or contribute to eye fatigue, An image processor executes image masks based on a geometric configuration of a portion of a specimen tray including a storage compartment with tissue specimen, A compartment mask executes on a portion of X-ray image depicting storage compartment including tissue specimen. Compartment mask boundary substantially corresponds to a contour of compartment. Partial structure mask executes on a portion of X-ray image depicting respective walls of specimen tray and storage compartment. Partial structure mask boundary extends along respective lengths and partially through respective walls of specimen tray.

A device includes software instructions for a circular plot analysis agent and at least one circular plot definition. The circular plot analysis agent obtains a digital image of a circular plot, detects a perimeter of the circular plot within the digital image, detects a plurality of edges within the perimeter, identifies a set of endpoints on the perimeter as a function of the plurality of edges, generates a plot descriptor from the set of endpoints, and initiates a transaction with a second device as a function of the plot descriptor.

Provided is a cell analyzer including: a light source unit configured to apply light to test cells each containing first substances which are bound to first fluorescent dyes and which serve as an index for therapeutic strategy judgement; an image capturing unit configured to capture an image of fluorescence caused by the light; a processing unit configured to process the image obtained by the image capturing unit; and a display unit configured to display a process result obtained by the processing unit, wherein the processing unit obtains a first image by performing an inactivation process of quenching the first fluorescent dyes, an activation process of activating a part of the first fluorescent dyes that have been quenched, and an image capturing process of capturing, by means of the image capturing unit, an image of the fluorescence by applying light from the light source unit to each test cell; extracts bright points based on the first fluorescent dyes on the basis of the first image; classifies the extracted bright points into groups each corresponding to one first substance, thereby to obtain the number of the first substances in the test cell on the basis of the number of the classified groups; obtains therapy index information serving as an index for therapeutic strategy judgement, on the basis of the obtained number of the first substances; and causes the display unit to display the obtained therapy index information.

Technology described herein includes a method that includes obtaining an image of a fluid of a microfluidic analysis system. The microfluidic analysis system includes or receives a container that contains the fluid for measurement of analyte or quality determination. A region of interest (ROI) is identified based on the image. The ROI is a set of pixel values for use in the measurement of the analyte or the quality determination of the fluid, fluidic path, or measuring system. Identifying the ROI includes: determining an alignment of the container of the fluid with the imaging device based on the image, and identifying the ROI based on information about the measurement of the fluid or based on information about non-analyte features of the fluid. An analysis of the image of the fluid is performed using the set of pixel values of the ROI.

A fluorescence image registration method includes obtaining at least one fluorescence image of a biochip. An interior local area. Sums of pixel values in the interior local area along a first direction and a second direction are obtained. A plurality of first template lines is selected to find a minimum total value of the sums of pixel values corresponding to the first template lines. Pixel-level correction is performed on a local area of the track line to obtain a pixel-level track cross. Other track crosses on the biochip is obtained, and the pixel-level correction is performed on the other track crosses. The position of the pixel-level track line is corrected by a center-of-gravity method to obtain the subpixel-level position of the track line. The subpixel-level positions of all sites uniformly distributed on the biochip is obtained.

Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.

Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

A method for reading a test region of an assay includes: capturing a plurality of images of an assay with an imaging device; from each image of the plurality of images, extracting a region of interest comprising pixels of the image associated with a test region of the assay; from each extracted region of interest, estimating respective intensity values of at least a portion of the pixels; grouping the estimated intensity values into one or more clusters, said grouping comprising determining a total number of intensity values grouped into each cluster and a variance of each cluster; selecting the cluster having a total number of intensity values at or above a predetermined threshold and a smallest variance; calculating a mean intensity value of the selected cluster; and outputting the calculated mean intensity value as a result of the assay.