S.d. Sight Diagnostics Ltd.

Natalie Lezmy

Joseph Joel Pollak

Yochay Shlomo Eshel

Arnon Houri Yafin

Dan Gluck

Daniel Levner

Sharon Pecker

Noam Yorav-raphael

Sarah Levy

Yonatan Halperin

Itamar Weiss

Apparatus and methods are described including preparing a blood sample for analysis by depositing the blood sample within a sample chamber (), and placing the sample chamber, with the blood sample deposited therein, within a microscopy unit (). One or more microscopic images of the sample chamber () with the blood sample deposited therein are acquired, using a microscope of the microscopy unit. Based upon the one or more images, an amount of one or more cell types within the sample chamber that had already settled within the sample chamber, prior to acquisition of the one or more microscopic images is determined. A characteristic of the sample is determined, at least partially in response thereto. Other applications are also described.

Accounting for errors in optical measurements

Apparatus and methods are described for analyzing a bodily sample. A microscope system acquires one or more microscope images of the bodily sample. A computer processor identifies elements as being candidates of a given entity, in the one or more images. At least one sample-informative feature, relating to a characteristic of the candidates of the given entity in the sample as a whole, is extracted from the one or more images. A characteristic of the sample is determined at least partially based upon the sample-informative feature, and an output is generated in response thereto. Other applications are also described.

Methods and apparatus for analyzing a bodily sample

Apparatus and methods are described for analyzing a bodily sample. One or more microscope images of the bodily sample are acquired. Using at least one computer processor at least one sample-informative feature that is indicative of a characteristic of the bodily sample is extracted from the images. Based upon the sample-informative feature, the computer processor determines that there is a defect associated with the bodily sample, and determines a source of the defect. Other applications are also described.

Detecting a defect within a bodily sample

Apparatus and methods are described including staining a blood sample with one or more stains. A plurality of microscopic images of the stained blood sample are acquired, using a microscope. Staining-quality parameters for respective microscopic images are determined, using a computer processor, the staining-quality parameters being indicative of a quality of the staining within each of the respective microscopic images. An action is performed by the computer processor, based upon the staining-quality parameters of the respective microscopic images. Other applications are also described.

Determining a staining-quality parameter of a blood sample

Apparatus and methods are described including acquiring microscopic images of a blood sample, and identifying deformed red blood cells within the microscopic images. A degree of red blood cell deformity within the sample is determined, at least partially based upon the identified deformed red blood cells. A sample-informative parameter that is indicative of a characteristic of the blood sample as a whole is determined, at least partially based upon the degree of red blood cell deformity within the sample. Other applications are also described.

Determining a degree of red blood cell deformity within a blood sample

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.

Methods and apparatus for detecting an entity in a bodily sample

Apparatus and methods are described including a microscope system () configured to acquire one or more microscope images of a bodily sample, an output device (), and at least one computer processor (). The computer processor identifies, in the one or more images, at least one element as being a pathogen candidate, and extracts, from the one or more images, at least one candidate-informative feature associated with the pathogen candidate. The compute processor extracts, from the one or more images, at least one sample-informative feature that is indicative of contextual information related to the bodily sample. The computer processor classifies a likelihood of the bodily sample being infected with a pathogenic infection, by processing 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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Hod Hasharon, Israel

Natalie Lezmy