Patent classifications
G02B21/34
Microscopic Examination Device and Method of Preparing a Sample for Microscopic Examination
The present invention relates to a microscopic examination device comprising a microscope and a sample preparation arrangement for preparing one or more samples to be examined in said microscope, said preparing including pipetting one or more liquids into one or more sample receptacles for said one or more samples, said sample preparation arrangement comprising a base and a receiving structure adapted to receive said one or more sample receptacles, said sample preparation arrangement further comprising a pipetting guide movably fixed or fixable in relation to the receiving structure, said pipetting guide comprising one or more pipette guiding structures positionable in relation to said one or more sample receptacles by pivoting said pipetting guide in relation to said base. A method of preparing one or more samples for microscopic examination is also part of the present invention.
IMAGE PROCESSING METHOD, MICROSCOPE, IMAGE PROCESSING SYSTEM, AND MEDIUM BASED ON ARTIFICIAL INTELLIGENCE
Embodiments of the present disclosure provide an image processing method based on artificial intelligence (AI) and an image processing system. The method includes: obtaining a feature recognition result of an image by performing image processing on the image to recognize a feature of the image and the image being obtained by performing image acquisition on a section of a patient using a digital slide scanner to generate a whole slide image (WSI) as the image; determining an imaging area of the section within a field of view of an eyepiece of a microscope with which real-time imaging is performed on the section; determining, within the image, an image area corresponding to the imaging area of the section and acquiring, from the feature recognition result of the image, a target feature recognition result of the image area; and superimposing the target feature recognition result on the imaging area of the section.
IMAGE PROCESSING METHOD, MICROSCOPE, IMAGE PROCESSING SYSTEM, AND MEDIUM BASED ON ARTIFICIAL INTELLIGENCE
Embodiments of the present disclosure provide an image processing method based on artificial intelligence (AI) and an image processing system. The method includes: obtaining a feature recognition result of an image by performing image processing on the image to recognize a feature of the image and the image being obtained by performing image acquisition on a section of a patient using a digital slide scanner to generate a whole slide image (WSI) as the image; determining an imaging area of the section within a field of view of an eyepiece of a microscope with which real-time imaging is performed on the section; determining, within the image, an image area corresponding to the imaging area of the section and acquiring, from the feature recognition result of the image, a target feature recognition result of the image area; and superimposing the target feature recognition result on the imaging area of the section.
MICROSCOPIC DEVICE
It was not always easy to observe the collected specimens at the specimen collection site. With a specimen container part having an observation cell which stores a collected specimen and allows observation of cells contained in the collected specimen, a phase-contrast objective lens disposed at a position corresponding to the observation cell, and a smartphone mounting fixture on which a smartphone with an imaging function can be mounted, a multifunctional phase-contrast microscopic device MR performing the observation of cells via a phase-contrast objective lens by using a smartphone mounted on a smartphone mounting fixture is provided.
MICROSCOPIC DEVICE
It was not always easy to observe the collected specimens at the specimen collection site. With a specimen container part having an observation cell which stores a collected specimen and allows observation of cells contained in the collected specimen, a phase-contrast objective lens disposed at a position corresponding to the observation cell, and a smartphone mounting fixture on which a smartphone with an imaging function can be mounted, a multifunctional phase-contrast microscopic device MR performing the observation of cells via a phase-contrast objective lens by using a smartphone mounted on a smartphone mounting fixture is provided.
Coverslip for cell culture
A coverslip for cell culture, capable of achieving seamless adhesion between the coverslip for cell culture and a target culture device, so as to solve the technical problem that cell suspension flows into gaps between the coverslip and a culture dish. Moreover, the coverslip for cell culture has exquisite structure, and is easy to carry out batch experiment and comparison. The coverslip is flake-like with upper and lower surfaces being parallel to each other, and comprises: a coverslip substrate (1) and sub-coverslips (2); the coverslip substrate (1) is provided with at least N hollowed-out parts (11); the sub-coverslips (2) are fixedly connected in the hollowed-out parts (11) by means of M fragile connecting pieces (3), wherein both N and M are natural numbers which are not related to each other.
Coverslip for cell culture
A coverslip for cell culture, capable of achieving seamless adhesion between the coverslip for cell culture and a target culture device, so as to solve the technical problem that cell suspension flows into gaps between the coverslip and a culture dish. Moreover, the coverslip for cell culture has exquisite structure, and is easy to carry out batch experiment and comparison. The coverslip is flake-like with upper and lower surfaces being parallel to each other, and comprises: a coverslip substrate (1) and sub-coverslips (2); the coverslip substrate (1) is provided with at least N hollowed-out parts (11); the sub-coverslips (2) are fixedly connected in the hollowed-out parts (11) by means of M fragile connecting pieces (3), wherein both N and M are natural numbers which are not related to each other.
METHOD FOR EVALUATING CELLULOSE NANOFIBER DISPERSION
Herein provided are methods for evaluating cellulose nanofiber dispersions, comprising the steps of: (1) preparing a cellulose nanofiber dispersion; (2) adding a color material into the cellulose nanofiber dispersion; and (3) observing the cellulose nanofiber dispersion to which a colored pigment has been added with a light microscope. The methods allow for easy evaluation of whether or not agglomerates of cellulose nanofibers exist in cellulose nanofiber dispersions, which cannot be visually determined.
METHOD FOR EVALUATING CELLULOSE NANOFIBER DISPERSION
Herein provided are methods for evaluating cellulose nanofiber dispersions, comprising the steps of: (1) preparing a cellulose nanofiber dispersion; (2) adding a color material into the cellulose nanofiber dispersion; and (3) observing the cellulose nanofiber dispersion to which a colored pigment has been added with a light microscope. The methods allow for easy evaluation of whether or not agglomerates of cellulose nanofibers exist in cellulose nanofiber dispersions, which cannot be visually determined.
DIGITAL IMAGING SYSTEM AND METHOD
Automated systems and methods for evaluating specimens affixed to substrates, such as slides, an exemplary system including a slide imager configured for acquiring a plurality of micro images of a specimen affixed to an substrate, the specimen including a plurality of objects distributed within a three-dimensional volume, and for generating a whole specimen image of the specimen using the micro images, wherein objects contained in the specimen are depicted substantially in focus in the whole specimen image regardless of a z-depth of the respective objects within the specimen. The whole specimen image is stored on a storage medium for subsequent review by a cytotechnologist using a computer-controlled review station including a display and a user interface, wherein the review station user interface is configured such that the cytotechnologist can review and classify the stored whole specimen images.