Abstract: A sample analysis system may comprise a flowcell, a fluidics system, an image capture device, and a processor. In such a system, the fluidics system may be adapted to flow a portion of a sample through the flowcell, and the image capture device may be configured to capture a plurality of images of blood cells in the flowcell. The processor may be programmed to perform a plurality of acts, including generating result data, displaying an interface operable to a user to select parameters, and displaying information corresponding to a review indication of the blood cells or the sample.

Abstract: A sample analysis system including: a fluidics system adapted to: flow a first portion of a blood sample through a first module, the first module being a flow imaging module including a flowcell and an image capture device configured to capture a plurality of images of cells of the first portion of the blood sample; and flow a second portion of the blood sample through a second module, the second module configured to test for one or more numerical parameters of cells of the second portion of the blood sample; a processor programmed to: determine the one or more numerical parameters of cells of the second portion of the blood sample; and present a computing interface including the plurality of images of the cells of the first portion of the blood sample and the one or more numerical parameters of the cells of the second portion of the blood sample.

Abstract: A focusing distance (e.g., a distance between a focal plane of a camera used when n image was captured and the actual focal plane for an in-focus image) in a visual analysis system may be determined by subjecting one or more images captured by such a system to a multi-layer analysis. In such an analysis, an input may be subjected to one or more convolution filters, and the ultimate result of such convolution may be provided to a dense layer which can provide the focusing distance. This focusing distance may then be used to (re) focus a camera or for other purposes (e.g., generating an alert).

Abstract: A focusing distance (e.g., a distance between a focal plane of a camera used when n image was captured and the actual focal plane for an in-focus image) in a visual analysis system may be determined by subjecting one or more images captured by such a system to a multi-layer analysis. In such an analysis, an input may be subjected to one or more convolution filters, and the ultimate result of such convolution may be provided to a dense layer which can provide the focusing distance. This focusing distance may then be used to (re)focus a camera or for other purposes (e.g., generating an alert).

Abstract: A focusing distance (e.g., a distance between a focal plane of a camera used when n image was captured and the actual focal plane for an in-focus image) in a visual analysis system may be determined by subjecting one or more images captured by such a system to a multi-layer analysis. In such an analysis, an input may be subjected to one or more convolution filters, and the ultimate result of such convolution may be provided to a dense layer which can provide the focusing distance. This focusing distance may then be used to (re)focus a camera or for other purposes (e.g., generating an alert).

Abstract: A method for dynamic focusing is presented that can be performed by a dynamic focusing controller that can receive images from the image capture device, and for each image, determine a border of the particle within the image, and calculate a pixel intensity ratio of the image based on the border of the particle. The dynamic focusing controller can also calculate a median pixel intensity ratio from the pixel intensity ratios for each image, determine a focal distance direction based on the median pixel intensity ratio, calculate a focal distance based on the median pixel intensity ratio when the focal distance direction is positive, and calculate the focal distance based on a median border width when the focal distance direction is negative. The autofocusing controller can then send an instruction to the focusing mechanism to adjust the image capture device by the focal distance in the focal distance direction.

Abstract: A method for dynamic focusing is presented that can be performed by a dynamic focusing controller that can receive images from the image capture device, and for each image, determine a border of the particle within the image, and calculate a pixel intensity ratio of the image based on the border of the particle. The dynamic focusing controller can also calculate a median pixel intensity ratio from the pixel intensity ratios for each image, determine a focal distance direction based on the median pixel intensity ratio, calculate a focal distance based on the median pixel intensity ratio when the focal distance direction is positive, and calculate the focal distance based on a median border width when the focal distance direction is negative. The autofocusing controller can then send an instruction to the focusing mechanism to adjust the image capture device by the focal distance in the focal distance direction.