Abstract: The disclosure relates to a method for training a neural network classifier (100) to classify a digital image depicting one or more objects of a biological sample into a specific class, which class belongs to a predefined set of classes (C1-C3), the method comprising: providing a training set of digital images (110a-s) originating 5 from a plurality of biological samples, each digital image (110a) of the training set being labeled with a specific class (C1) of the one or more objects of the digital image (110a), each digital image (110a) of the training set being associated with global data (114a) pertaining to the respective sample, training the neural network (100) using pixel data of each digital image (110a) from the training set of digital 10 images (110a-s) and the global data (114a) associated with said digital image (110a) as input, and using the specific class (C1) of the label of said digital image (110a) as a correct output from the neural network (100).

Abstract: The disclosure relates to a method and corresponding system for digital microscopy imaging comprising: capturing with a camera, a plurality of images of a position in a biological sample, wherein each image is captured at a different focal distance, and determining in the camera, a focus value for each captured image. For each captured image, the focus value of the captured image is compared with at least one threshold focus value. Upon determining that the focus value of the captured image exceeds the at least one threshold focus value, the captured image is marked as an interesting image, and transmitted from the camera to a separate computing unit.

Abstract: In one embodiment of the present invention, a method is disclosed for determining a difference between a sample position and an in-focus position, as well as a vision inspection system. In a first step image data depicting a sample is captured. Next, a feature set is extracted from the image data. Thereafter, the feature set is classified into a position difference value, corresponding to the difference between the sample position and the in-focus position, by using a machine learning algorithm that is trained to associate image data features to a position difference value.

Abstract: Methods and systems for generating a graphical user interface for analysis of red blood cells. The method generates a first view of the graphical user interface by highlighting red blood cells in an image that are classified into at least one group indicated by a user input. The method also generates a second view by extracting individual red blood cells being classified into the at least one group indicated by the user input from the image of red blood cells and displaying them group-wise.

Abstract: An analyzer is disclosed for optical analysis of a biological specimen. In at least one embodiment, the analyzer includes optics which includes a camera, intermediate optics and front optics. The intermediate optics is movably arranged and the front optics is fixedly arranged. An analyzer for optical analysis of a biological specimen, in at least one embodiment includes a robot for transporting a slide to be analyzed. The robot is controlled by at least three motors to allow movement of the robot in three dimensions. The robot includes a handling device configured to grip the slide.

Abstract: An analyzer is disclosed for optical analysis of a biological specimen. In at least one embodiment, the analyzer includes optics which includes a camera, intermediate optics and front optics. The intermediate optics is movably arranged and the front optics is fixedly arranged. An analyzer for optical analysis of a biological specimen, in at least one embodiment includes a robot for transporting a slide to be analyzed. The robot is controlled by at least three motors to allow movement of the robot in three dimensions. The robot includes a handling device configured to grip the slide.

Abstract: The present invention relates to a method for changing the appearance of an original image comprising N>1 classes of image elements, the method comprising the step of: for each pixel and for at least one subset of the original image: calculating N probability values, each probability value defining a probability for the pixel of belonging to a corresponding one of the N classes of image elements, transforming a color of the pixel by using predetermined color transforms for each of the N classes of image elements and the N probability values for the pixel.

Abstract: The present invention relates to a method for changing the appearance of an original image comprising N>1 classes of image elements, the method comprising the step of: for each pixel and for at least one subset of the original image: calculating N probability values, each probability value defining a probability for the pixel of belonging to a corresponding one of the N classes of image elements, transforming a color of the pixel by using predetermined color transforms for each of the N classes of image elements and the N probability values for the pixel.

Abstract: Methods and systems for generating a graphical user interface for analysis of red blood cells. The method generates a first view of the graphical user interface by highlighting red blood cells in an image that are classified into at least one group indicated by a user input. The method also generates a second view by extracting individual red blood cells being classified into the at least one group indicated by the user input from the image of red blood cells and displaying them group-wise.

Abstract: An analyser is disclosed for optical analysis of a biological specimen. In at least one embodiment, the analyzer includes optics which includes a camera, intermediate optics and front optics. The intermediate optics is movably arranged and the front optics is fixedly arranged. An analyser for optical analysis of a biological specimen, in at least one embodiment includes a robot for transporting a slide to be analysed. The robot is controlled by at least three motors to allow movement of the robot in three dimensions. The robot includes a handling device configured to grip the slide.

Abstract: In a flexure arrangement for translating positioning of an object in a microscope system, two actuators both act along a first direction, while the object partly can be positioned along the first direction and partly, with a gear ratio, along the second direction, which is perpendicular to the first.

Abstract: A method is disclosed for determining a sought object contour in a digital microscope image, which includes a plurality of image elements and reproduces a biological material. The method includes assigning edge values to at least a first subset of the image elements in the image; assigning values of a first gradient vector component whose values each includes a first linear combination of edge values of some surrounding image elements to at least a second subset of the image elements in the image; assigning values of a second gradient vector component whose values each include a second linear combination of edge values of some surrounding image elements to at least a third subset of the image elements in the image; and calculating an estimate of the sought object contour based upon values of the first and second gradient vector components.

Abstract: In a microscope, a position signal is generated in the form of coordinates in a pixel coordinate system by registering microscope images with partly overlapping contents. The position signal can be used to indicate the position of a partial object which has been identified in one of the microscope images. It can also be used to control the displacement of the microscope stage of the microscope, in which case it is possible to use a simple inaccurate drive mechanism for the microscope stage, without necessitating installation of position sensors.

Abstract: A method and device for automatic focusing in an optical system is provided. A structure having a periphery is reproduced by an objective and an electronic representation of the structure reproduced by the objective is generated. The intensity variation at the periphery of the structure is analyzed in the electronic representation. An application focus value, indicating how the current focus position of the objective is related to an optimal focus position for an application, is determined using the intensity variation. The application focus value indicates whether the current focus position of the objective is above or below the optimal focus position and how far away the current focus position of the objective is from the optimal focus position.

Abstract: An image processing system for optical systems including microscopes which separately captures (grabs) different portions of the electromagnetic spectrum as emitted from an object as separate images. Each of the separate images are individually focused and then aligned with the other images to produce a composite image. In one embodiment, the different portions correspond to red, green, and blue and the composite image is displayed to the user on as a monitor without any need for an eyepiece.

Abstract: An autofocusing system in which optimal or nearly optimal linear filters are selected for filtering an image signal so that the components of the image signal which contain image content, and thus, focus information are amplified while the components of the image signal which contain noise are damped. One set of nearly optimal linear filters are modified second order difference filters in which the number of internal zeros are modified to tune the filter to the particular equipment.

Abstract: An image registration (alignment) system which achieves alignment by determining an optimal focus for a composite image produced from the combination of misregistered images. The system also uses optimal or nearly optimal linear filters for filtering the combined image to emphasize (enhance) alignment information in the combined image and to de-emphasize (damp) noise. One set of the nearly optimal linear filters are modified second order difference filters in which the number of internal zeros are modified to tune the filter to the particular equipment.

Abstract: A device for optical analysis of a specimen, especially a blood sample, is in the form of a dish, a translucent plate-shaped portion, which has a specimen-receiving surface, essentially constituting the bottom of the dish, and a frame, which engages the plate-shaped portion, forming its wall. To catch surplus liquid from the specimen-receiving surface, especially when receiving, smearing, spinning or coloring the specimen, an absorbing material is arranged in a loop along the circumference of the plate-shaped portion. The design of the device permits safe and easy handling of specimens that are injurious to health.