12 results about "Automated microscopy" patented technology

The invention provides a three-dimensional automatic focusing method and device based on multi-modal data fusion and Kalman filtering and a readable storage medium, and high-precision real-time focusing is realized through multiple steps: collecting sample three-dimensional phase information and different focal plane image data by using a phase and image sensor, and calculating phase depth and definition; constructing a multi-plane Kalman filtering cluster, modeling the focus state of each focal plane, and predicting the focus by fusing the neighborhood coupling influence; the focus state is updated and corrected in combination with the image definition and the phase gradient, and the optimal three-dimensional focus position is determined by means of a collaborative optimization decision maker; dynamically adjusting the noise matrix and the coupling coefficient, and controlling the objective lens to complete focusing. According to the method, through multi-modal fusion and multi-plane cooperation, the problems of focus drifting and jumping are effectively solved, the focusing precision and stability of an imaging system in a complex sample and a dynamic environment are remarkably improved, and the method is suitable for equipment such as a biomedical full-automatic microscope and a digital pathological section scanner.

The invention relates to the technical field of medical examination, in particular to a method for calculating the definition of a leukocyte microscopic image based on deep learning, which comprises the following steps: preparing and expanding a data set of the microscopic leukocyte image, outputting a clear image and a blurred image, and enabling each image to have a corresponding definition evaluation index; performing multi-feature fusion definition evaluation on the microscopic leukocyte image based on comprehensive evaluation calculation of a Sobel operator, a Laplacian operator and information entropy; accessing multi-feature fusion definition evaluation into a deep learning model, and building a definition evaluation model; the definition evaluation model is trained, and in the training process, parameters of the definition evaluation model are adjusted by optimizing a loss function; the trained definition evaluation model is deployed in an automatic microscope system, and the problems that definition evaluation is carried out on the whole view, the definition evaluation algorithm is limited, and cell nucleus and cytoplasm characteristics are not distinguished in the prior art are solved.

The utility model relates to an automatic shading device and a microscope system, the automatic shading device comprises a miniature slide block motor module, a mounting plate, a shading sheet and a photoelectric switch, the miniature slide block motor module comprises a miniature motor, a screw rod and a miniature slide block, the miniature slide block is sleeved on the screw rod, and the mounting plate is arranged on the mounting plate. The micro sliding block motor module and the photoelectric switch are both installed on the installation plate, and the anti-dazzling screen is installed on the micro sliding block and matched with the photoelectric switch. The utility model has the advantages of small volume, low cost and automatic shading function, and can be applied to an automatic microscope system.

The invention relates to the technical field of microscopic detection, in particular to a microscopic imaging system with bright field imaging and phase difference imaging, which comprises an imaging module, a bright field imaging illumination module, a focusing module, a phase difference imaging illumination light source module and a control module. The problems that in the prior art, the switching time is long, the definition degree of images is prone to being affected in the switching process, the target form of bright field image and phase difference image shooting is changed, and result contrastive analysis is not facilitated are solved.

This application combines the automatic microscope platform system with image linking. First, the global high-magnification scanning system of the image is upgraded to overcome the shortcomings of the system such as small acquisition range, low acquisition efficiency, need for manual assistance, and large system errors, to ensure the quality of the acquired image and the accuracy of system control, replace more reasonable components and update the system architecture to make the instrument more powerful and easier to use. Secondly, for the acquired local microscopic images of characters, a linking algorithm is designed according to the characteristics of the image, and a global coordinate positioning model for large-scale image linking is used to complete the image linking. Finally, the microscopic images of the same characters in the same font and size in the documents and the sample documents are extracted to analyze and classify the texture differences of the same characters printed by different printers. The auxiliary inspection module developed based on the difference in character texture helps document inspectors to efficiently and accurately perform auxiliary inspections on printed documents, thereby enhancing the efficiency and accuracy of document inspection work.

The invention relates to the technical field of image data processing, and discloses a rubber tree bark slice panorama generation method, which comprises the following steps of: taking a proper bark sample from a diameter at breast height of a rubber tree; the method comprises the following steps: fixing a sample, dehydrating, performing latex denaturation and dyeing, dehydrating and transparentizing, permeating wax and embedding, slicing, dewaxing, dyeing, slicing and dehydrating, and transparentizing and sealing; a common optical microscope is matched with a 4 * objective lens to carry out image acquisition, equidistant shooting is carried out along a Z-shaped path of rubber tree barks, the overlapping area of adjacent images is larger than or equal to 25%, and the resolution of a single image is larger than or equal to 4088 * 3072 pixels. Through an extremely simple technical route of Z-shaped full-coverage shooting and general image splicing software, the dependence on an expensive automatic microscopic platform is eliminated, and the equipment investment and the operation and maintenance cost are greatly reduced. Under the condition that hardware does not need to be transformed, a high-resolution and seamlessly spliced bark panorama can be generated, the shooting and processing flow is remarkably accelerated, and a breast duct array and a ray structure are kept complete and continuous.

The utility model relates to the technical field of clamping mechanisms, in particular to a slide follow-up clamping mechanism applied to an automatic microscope objective platform, which comprises a fixed block and a movable clamping assembly, the movable clamping assembly comprises a plurality of movable slide rails, a movable plate, a plurality of clamping blocks, a plurality of return parts, a pull arm and a limiting baffle, the movable plate is slidably connected to the movable slide rails, and the movable plate is slidably connected to the movable slide rails. One end of the pull arm is hinged to the movable plate, a limiting baffle is arranged at the other end of the pull arm, the middle of the pull arm is rotationally connected to the carrying platform, the limiting baffle does not move along with the carrying platform, and after the limiting baffle makes contact with the limiting baffle, the limiting baffle abuts against the limiting baffle so as to drive the pull arm to rotate; the pulling arm rotates to drive the moving plate connected with the other end of the pulling arm to move in the direction away from the fixed block, so that the shifting piece is automatically loosened, when the object carrying platform enters a working area, the limiting check block is away from the limiting baffle, the moving plate automatically returns to clamp the slide under the action of the return piece, and the problem that the slide needs to be clamped manually is solved.

This invention relates to the field of intelligent microscopic imaging technology, and more particularly to a workflow-driven microscopic imaging method and system based on visual programming. The method includes: S10, acquiring a microscopic imaging workflow containing task nodes and flow control nodes; S20, organizing the microscopic imaging workflow using a node-based flow model to form an imaging task queue; S30, sending a first control command to an automated microscope module and an image acquisition module according to the imaging task queue to acquire microscopic images; S40, acquiring the image analysis results of the microscopic images and determining whether the image analysis results meet preset trigger conditions; if yes, proceed to step S50; if no, proceed to step S60; S50, issuing a corresponding second control command according to the trigger conditions; S60, repeating steps S30 to S50 until a preset termination condition is met. This invention enables automated closed-loop control of the microscopic imaging process.

In one general aspect, the invention features a single-use cartridge for use with an apparatus that includes an automated microscope for analyzing the sample that includes a capillary tube on the cartridge having an exposed end, a cover over the tube with a window at a predetermined position along the tube from the exposed end, with the predetermined position corresponding to a desired sample quantity, a source of diluent and / or stain, and one or more flow paths that connect the capillary tube and a source of diluent and / or stain to the imaging chamber for analysis by the automated microscope.

The present invention provides a three-dimensional autofocus method, device and readable storage medium based on multi-modal data fusion and Kalman filtering, which realizes high-precision real-time focusing through multiple steps: using a phase and image sensor to collect sample three-dimensional phase information and image data of different focal planes, calculating the phase depth and sharpness; constructing a multi-plane Kalman filtering cluster to model the focus states of each focal plane, fusing the influence of neighborhood coupling to predict the focus; combining the image sharpness and phase gradient to update and correct the focus state, and determining the optimal three-dimensional focus position with the help of a collaborative optimization decision maker; dynamically adjusting the noise matrix and coupling coefficient to control the objective lens to complete focusing. This method effectively solves the problems of focus drift and jump through multi-modal fusion and multi-plane collaboration, significantly improves the focusing accuracy and stability of the imaging system in complex samples and dynamic environments, and is applicable to devices such as biomedical fully automatic microscopes and digital pathology slide scanners.

The embodiment of the utility model provides a remotely-controlled automatic microscope. The remotely-controlled automatic microscope comprises a microscope module and a control assembly electrically connected with the microscope module, the plane bottom light source is arranged in the XY mobile platform, the X-axis horizontal displacement module is arranged on one side of the XY mobile platform, the Y-axis horizontal displacement module is arranged on the other side of the XY mobile platform, and the X-axis horizontal displacement module and the Y-axis horizontal displacement module are vertically arranged; a Z-axis module is arranged at the top of the base column assembly; when the remotely-controlled automatic microscope is started, the control assembly controls or remotely controls the X-axis horizontal displacement module and the Y-axis horizontal displacement module so as to control the XY moving platform to move, and the control assembly controls or remotely controls the Z-axis module so as to control the three-dimensional microscope to move up and down. The control assembly controls or remotely controls the optical magnification adjusting device so as to control the magnification of the three-dimensional microscope.

This disclosure describes single-use test cartridges, cell analyzer apparatus, and methods for automatically performing microscopic cell analysis tasks, such as counting blood cells in biological samples. A small unmeasured quantity of a biological sample such as whole blood is placed in the disposable test cartridge which is then inserted into the cell analyzer. The analyzer isolates a precise volume of the biological sample, mixes it with self-contained reagents and transfers the entire volume to an imaging chamber. The geometry of the imaging chamber is chosen to maintain the uniformity of the mixture, and to prevent cells from crowding or clumping, when it is transferred into the imaging chamber. Images of essentially all of the cellular components within the imaging chamber are analyzed to obtain counts per unit volume. The devices, apparatus and methods described may be used to analyze a small quantity of whole blood to obtain counts per unit volume of red blood cells, white blood cells, including sub-groups of white cells, platelets and measurements related to these bodies.