Abstract:
An culture vessel includes one or more recesses, each having a flat bottom surface, and a side surface extending upward from the peripheral edge of the bottom surface and including a rough surface with arithmetic mean roughness of 0.18 μm to 5.0 μm. The rough surface is water repellent and reduces meniscus formation on the peripheral edge of the upper surface of the culture solution. This suppresses a reduction in light amount at the peripheral edges of recesses due to meniscus formation. On the side surfaces of recesses, secondary illumination light is diffused and reflected. This suppresses formation of an image (ghost) of a biological sample by the secondary illumination light. Accordingly, it is possible to suppress a reduction in the amount of light due to meniscus formation in the culture solution and to reduce formation of an image of the biological sample by the secondary illumination light.
Abstract:
An image processing method that includes obtaining an original image including a cultured cell image with a background image, dividing the original image into blocks, each composed of a predetermined number of pixels, and obtaining a spatial frequency component of an image in each block for each block, and classifying each block as the one belonging to a cell cluster corresponding to the cell or the one belonging to other than the cell cluster in a two-dimensional feature amount space composed of a first feature amount which is a total of intensities of low frequency components having a frequency equal to or lower than a predetermined frequency and a second feature amount which is a total of intensities of high frequency components having a higher frequency than the low frequency component, and segmenting the original image into an area occupied by the blocks classified as the cell cluster and another area.
Abstract:
A technology capable of effectively and stably correcting brightness unevenness in an image obtained by imaging is provided. An image processing method includes an image obtaining step of obtaining an original image obtained by imaging an imaging object together with a substantially uniform background, an approximation step of specifying an approximation formula for approximating a two-dimensional luminance profile of the original image to a probability density function of a two-dimensional normal distribution, and a correction step of correcting a luminance value of each pixel constituting the original image on the basis of a luminance value of the two-dimensional luminance profile expressed by the approximation formula.
Abstract:
A technique for automatically and accurately determining life or death of cells in a sample prepared without any labeling, not relying on the subjectivity of a determiner, is intended. A fluorescent specimen in which respective fluorescence generation modes in response to excitation light are different from each other between a living cell and a dead cell is prepared, and fluorescence imaging of the fluorescent specimen is performed. Bright field imaging of the fluorescent specimen is performed, and respective positions of the living cell and the dead cell are specified from a fluorescent image. Image objects in a bright field image, which are located at positions corresponding to the specified positions of the living cell and the dead cell are extracted as a living cell object and a dead cell object, respectively, and a classifier is constructed through machine learning using supervisor data including respective feature vectors of the extracted objects.
Abstract:
An image processing apparatus includes a holder holding a carrier carrying cells, an imager including an imaging optical system in which an optical axis is oriented toward the carrier, and images the cells in a bright field, a position changer changing a focus position of the imaging optical system in a direction along the optical axis, a controller changing a set position of the focus position by the position changer and obtaining a plurality of original images by causing the imager to perform imaging at each set position, and an image processor calculating a contrast value of each original image, specifying two set positions at opposite sides of a local minimum value of the contrast value in a profile of the contrast value in relation to the set position and generating a difference image of two of the original images respectively imaged at the two set positions.
Abstract:
A technique which makes it possible to more precisely evaluate how a chemical substance is efficacious upon a cell aggregate is suggested. An efficacy evaluation method for evaluating a drug efficacy of a chemical substance upon a cell aggregate inside a liquid which is contained in a container comprises: acquiring tomographic images of the cell aggregate which are imaged along cross sections which approximately match with a vertical plane (Step S102); calculating a feature amount of the cell aggregate based on the tomographic images (Step S105); and determining the drug efficacy of the chemical substance based on the calculation result of the feature amount.