A sample observation device includes an imaging unit that images observation light generated due to irradiation with the planar light that is transmitted through a membrane filter and outputs fluorescent light image data, a partial image generation unit that specifies a first area corresponding to a first sample holding space and a second area corresponding to a second sample holding space in the fluorescent light image data, and generates first partial image data corresponding to the first area and second partial image data corresponding to the second area, an observation image generation unit that generates first observation image data and second observation image data on the basis of the partial image data, and an analysis unit that analyzes a sample on the basis of the first observation image data and the second observation image data.

A method for aligning a sample to an array is provided. An image of sample image of a sample can be received by a data processor. The sample image having a first resolution. An array image including an overlay of an array with the sample and an array fiducial can be received by the data processor. The array image having a second resolution lower than the first resolution of the sample image. The sample image can be registered to the array image by aligning the sample image and the array image. An aligned image can be generated based on the registering. The aligned image can can include an overlay of the sample image with the array. The aligned image can be provided by the data processor. A method for detecting fiducials associated with an array is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

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.

[Object] To provide an information processing apparatus, an information processing method, a program, and an observation system with which images of cells under observation are efficiently captured. [Solving Means] An information processing apparatus according to the present technology includes an image-capture controller unit, an image-capture area classifier unit, and an observation controller unit. The image-capture controller unit controls an image-capture mechanism to capture images of a culture vessel including a plurality of wells that house cells for each image-capture area. The image-capture area classifier unit applies image processing to the images captured by the image-capture mechanism and classifies the plurality of image-capture areas into a first image-capture area of which image-capturing is continued and a second image-capture area of which image-capturing is not continued on the basis of a result of the image processing. The observation controller unit instructs the image-capture controller unit to capture an image of an image-capture area classified as the first image-capture area and not to capture an image of an image-capture area as the second image-capture area.

The present application provides for systems and methods for detecting and estimating signals corresponding to one or more biomarkers in biological samples stained for the presence of protein and/or nucleic acid biomarkers. On particular aspect is directed to a method of estimating an amount of signal corresponding to at least one biomarker in an image of a biological sample. The method includes detecting isolated spots in a first image, deriving an optical density value of a representative isolated spot based on signal features from the detected isolated spots, estimating a number of predictive spots in signal aggregates in each of a plurality of sub-regions based on the derived optical density value of the representative isolated spot, and storing the estimated number of predictive spots and detected isolated spots in each of the plurality of generated sub-regions in a database.

Provided is a technique for preventing erroneous recognition of a fine particle region from a captured image of fine particles. A fine particle testing apparatus of the present disclosure includes: an imaging part capturing a first fine particle image of a well that holds a liquid containing fine particles; an image processor executing a process of generating a second fine particle image by extracting a contour of the first fine particle image, a process of performing a logical operation between the first fine particle image and the second fine particle image, a process of calculating a feature amount of the fine particles based on a result of the logical operation, and a process of determining growth of the fine particles in the well based on the calculated feature amount; and an output part outputting a result of the determination.

A method for tissue classification includes receiving at least two images associated with a patient, the at least two images being of an anatomical region or tissue. The method also includes identifying a region of interest in the at least two images, analyzing the region of interest to identify changes in the tissue and generating a probability map of the region of interest based on the changes in the tissue. The probability map indicates a likelihood of formation of cancer in the tissue within a predetermined time period. The method also includes displaying the probability map on a display.

Systems and methods for testing visible chemical reactions of a reagent are provided. In one implementation, the method may include receiving from an image sensor associated with a mobile communications device an image of a reagent with a plurality of colored test reagent pads in proximity to a colorized surface having a plurality of colored reference elements of differing shades. The method further includes using the differing shades of the plurality of colored reference elements to determine local illumination conditions. Thereafter, the method includes using the determined local illumination conditions and an analysis of a depiction of the plurality of colored test reagent pads in the image to determine an extent of a chemical reaction on the reagent. Then the method includes causing the mobile communications device to provide to the user an indication that the testing of the reagent is complete.

Methods are provided to project depth-spanning stacks of limited depth-of-field images of a sample into a single image of the sample that can provide in-focus image information about three-dimensional contents of the image. These methods include applying filters to the stacks of images in order to identify pixels within each image that have been captured in focus. These in-focus pixels are then combined to provide the single image of the sample. Filtering of such image stacks can also allow for the determination of depth maps or other geometric information about contents of the sample. Such depth information can also be used to inform segmentation of images of the sample, e.g., by further dividing identified regions that correspond to the contents of the sample at multiple different depths.

A real time assay monitoring system and method can be used to monitor reagent volume in assays for fluid replenishment control, monitor assays in real-time to obtain quality control information, monitor assays in real-time during development to detect saturation levels that can be used to shorten assay time, and provide assay results before the assay is complete, enabling reflex testing to begin automatically. The monitoring system can include a real time imaging system with a camera and lights to capture images of the assay. The captured images can then be used to monitor and control the quality of the staining process in an assay, provide early assay results, and/or to measure the on-site reagent volume within the assay.