Abstract: 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.

Abstract: 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.

Abstract: Apparatus and methods are described for use with an output device, and a blood sample that was drawn from a subject. A microscope system acquires first and second images of the blood sample at respective times. A computer processor determines whether, between acquisitions of the first and second images, there was relative motion between at least one erythrocyte within the sample and at least one entity within the sample, by comparing the first and second images to one another. At least partially in response thereto, the computer processor determines whether the entity is an extra-erythrocytic or an intra-erythrocytic entity, and generates an output on the output device, at least partially in response thereto. Other applications are also described.

Abstract: Apparatus and methods are described for use with an output device (34), and a blood sample (12) that was drawn from a subject. A microscope system (10) acquires first and second images of the blood sample at respective times. A computer processor (28) determines whether, between acquisitions of the first and second images, there was relative motion between at least one erythrocyte within the sample and at least one entity within the sample, by comparing the first and second images to one another. At least partially in response thereto, the computer processor determines whether the entity is an extra-erythrocytic or an intra-erythrocytic entity, and generates an output on the output device, at least partially in response thereto. Other applications are also described.

Abstract: Apparatus and methods for use with a blood sample are described. The blood sample is stained with a first dye that predominantly stains DNA, and a second dye that stains at least one other cellular component being different from DNA. A plurality of images of the blood sample are acquired. A candidate object is identified as being a candidate of a given entity. A first stained area, which is stained by the first dye and which is disposed within the candidate object, is identified. A second stained area, which is stained by the second dye and which is disposed within the candidate object, is identified. The entity is detected by determining that features of the stained areas satisfy predetermined criteria associated with the entity. Other applications are also described.

Abstract: Apparatus and methods for use with a blood sample are described. The blood sample is stained with Hoechst stain and Acridine Orange stain. A plurality of images of the blood sample are acquired. An object is identified as being a white blood cell candidate. A first stained area, which is stained by the Hoechst stain and which is disposed within the white blood cell candidate, is identified. A second stained area, which is stained by the Acridine Orange stain and which is disposed within the white blood cell candidate, is identified. A white blood cell is detected by determining that structural features of the stained areas satisfy predetermined criteria associated with a white blood cell. Other applications are also described.

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.

Abstract: Apparatus and methods are described use with a bodily sample that contains cells. A microscope (24) is focused, such that a focal plane of the microscope (24) at least approximately coincides with a level at which at least some cells belonging to the sample are at least partially disposed. At least one on-focus microscopic image of the sample, while the focal plane of the microscope (24) approximately coincides with the level. The microscope (24) is focused such that the focal plane of the microscope is offset with respect to the level, at least one off-focus microscopic image of the sample is acquired, while the focal plane of the microscope (24) is offset with respect to the level. A property of at least a portion of the sample is determined, at least partially based upon the on-focus and off-focus images. Other applications are also described.

Abstract: Apparatus and methods are described including introducing a cell suspension comprising red blood cells into a carrier that is a closed cavity that includes a base surface and a closed top, via an inlet defined by the carrier. The cells in the cell suspension are allowed to settle on the base surface of the carrier to form a monolayer of cells on the base surface of the carrier. At least one microscope image of at least a portion of the monolayer of cells is acquired. Other applications are also described.

Abstract: Apparatus and methods are described including preparing a blood sample for analysis by depositing the blood sample within a sample chamber (52), and placing the sample chamber, with the blood sample deposited therein, within a microscopy unit (24). One or more microscopic images of the sample chamber (52) 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.

Abstract: Apparatus and methods are described including placing at least a portion of a blood sample within a sample chamber (52), and acquiring microscopic images of the portion of the blood sample. Candidates of a given entity within the blood sample are identified, within the microscopic image. At least some of the candidates as being the given entity are validated, by performing further analysis of the candidates. A count of the candidates of the given entity is compared to a count of the validated candidates of the given entity, and at least the portion of the sample is invalidated from being used for performing at least some measurements upon the sample, at least partially based upon a relationship between the count of candidates and the count of validated candidates. Other applications are also described.

Abstract: Apparatus and methods are described including introducing a cell suspension comprising red blood cells into a carrier that is a closed cavity that includes a base surface, via an inlet defined by the carrier. The cells in the cell suspension are allowed to settle on the base surface of the carrier to form a monolayer of cells on the base surface of the carrier. At least one microscope image of at least a portion of the monolayer of cells is acquired. Other applications are also described.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Apparatus and methods are described including measuring hematocrit within a blood sample, by performing a first measurement on a first portion of the blood sample. Mean corpuscular volume in the blood sample is measured, by performing a second measurement on a second portion of the blood sample, the second portion being diluted with respect to the first portion. A red blood cell count per unit volume within the blood sample is determined by dividing the hematocrit measured within the first portion by the mean corpuscular volume measured within the second portion. Other applications are also described.

Abstract: Apparatus and methods are described for use with a blood sample (48, 50), including measuring hemoglobin concentration within at least a portion (48) of the blood sample, by performing a first measurement on the blood sample. Mean corpuscular hemoglobin in the blood sample (48, 50) is measured, by performing a second measurement on the blood sample (48, 50). A parameter of the blood sample is determined, based on a relationship between the concentration of hemoglobin and the mean corpuscular hemoglobin. Other applications are also described.

Abstract: Apparatus and methods are described including placing a first portion of a biological sample into a source sample portion chamber of a sample carrier, and placing a second portion of the biological sample into a diluted sample portion chamber. The second portion of the biological sample is diluted with respect to the first portion of the biological sample. Using an optical measurement device, a bulk-level measurand of the sample that relates to a parameter of the biological sample as a whole is measured, by performing a measurement upon the first portion of the biological sample. Microscopic images of the second portion of the biological sample are acquired. Other applications are also described.

Abstract: Apparatus and methods are described for use with an output device (34), and a blood sample (12) that was drawn from a subject. A microscope system (10) acquires first and second images of the blood sample at respective times. A computer processor (28) determines whether, between acquisitions of the first and second images, there was relative motion between at least one erythrocyte within the sample and at least one entity within the sample, by comparing the first and second images to one another. At least partially in response thereto, the computer processor determines whether the entity is an extra-erythrocytic or an intra-erythrocytic entity, and generates an output on the output device, at least partially in response thereto. Other applications are also described.