CLASSIFICATION MODELS FOR ANALYZING A SAMPLE

    公开(公告)号:US20230026108A1

    公开(公告)日:2023-01-26

    申请号:US17783839

    申请日:2020-12-10

    Abstract: Apparatus and methods are described including analyzing one or more microscopic images of the blood sample using a machine-learning classifier. An entity within the one or more microscopic images is identified using a first classification model, and a first estimated concentration of the entity within the sample is determined, based upon the entity as identified using the first classification model. The entity is identified within the one or more microscopic images using a second classification model, and a second estimated concentration of the entity within the sample is determined, based upon the entity as identified using the second classification model. The first and second estimated concentrations are compared to each other, and, in response to the comparison, a hybrid classification model that is a hybrid of the first and second classification models is used. Other applications are also described.

    ARTIFICIAL GENERATION OF COLOR BLOOD SMEAR IMAGE

    公开(公告)号:US20250067968A1

    公开(公告)日:2025-02-27

    申请号:US18940926

    申请日:2024-11-08

    Abstract: Apparatus and methods are described for use with a blood sample and a display, including acquiring a plurality of images of a microscopic imaging field of the blood sample, each of the images being acquired using respective, different imaging conditions. An artificial color microscopic display image of the microscopic imaging field is generated having a similar appearance to that of a color smear image, by mapping the plurality of images to respective channels of the artificial color microscopic display image. A display is driven to display the artificial color microscopic display image of the microscopic imaging field to a user. Other applications are also described.

    ARTIFICIAL GENERATION OF COLOR BLOOD SMEAR IMAGE

    公开(公告)号:US20230028360A1

    公开(公告)日:2023-01-26

    申请号:US17783924

    申请日:2020-12-10

    Abstract: Apparatus and methods are described for use with a blood sample. Using a microscope (24), three images of a microscopic imaging field of the blood sample are acquired, each of the images being acquired using respective, different imaging conditions, and the first one of the three images being acquired under violet-light brightfield imaging. Using at least one computer processor (28), an artificial color microscopic image of the microscopic imaging field is generated, by mapping the first one of the three images to a red channel of the artificial color microscopic image, mapping a second one of the three images to a second color channel of the artificial color microscopic image, and mapping a third one of the three images to a third color channel of the artificial color microscopic image. Other applications are also described.

    DETECTING PLATELETS IN A BLOOD SAMPLE

    公开(公告)号:US20230003622A1

    公开(公告)日:2023-01-05

    申请号:US17783930

    申请日:2020-12-10

    Abstract: Apparatus and methods are provided including imaging a blood sample that is a cell suspension deposited in a sample chamber. The cells are allowed to settle in the sample chamber to form a monolayer of cells. At least one microscopic image is acquired of the monolayer of cells using a microscope (24) while the microscope is focused at a monolayer-depth-level, and a first platelet count of platelets that have settled within the monolayer, is determined. An additional microscopic image of the simple is acquired, while the microscope is focused at a different depth level from the monolayer-depth-level, and a second platelet count of platelets that have not settled within the monolayer is determined. An output is generated based upon the first and second platelet counts. Other applications are also described.

    METHODS AND APPARATUS FOR DETECTING AN ENTITY IN A BODILY SAMPLE

    公开(公告)号:US20200049970A1

    公开(公告)日:2020-02-13

    申请号:US16657473

    申请日:2019-10-18

    Abstract: Apparatus and methods for analyzing a bodily sample are described. A microscope system acquires one or more microscope images of the bodily sample. A computer processor identifies, in the one or more images, at least one element as being a candidate of a given entity. The computer processor extracts, from the one or more images, at least one candidate-informative feature associated with the candidate of the given entity, and at least one sample-informative feature that is indicative of a characteristic of the bodily sample as a whole. The computer processor processes the candidate-informative feature in combination with the sample-informative feature, and generates an output upon the output device, in response thereto. Other applications are also described.

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