Apparatus comprising: a microscope system configured to acquire one or more microscope images of a bodily sample, the bodily sample including a blood sample, a diluted blood sample, a sample comprising predominantly red blood cells, and/or a diluted sample comprising predominantly red blood cells; and at least one computer processor configured to: identify, in the one or more images, at least one element as being a candidate of a given entity, the given entity being a platelet, a white blood cell, an anomalous white blood cell, a circulating tumor cell, a red blood cell, a reticulocyte, a Howell Jolly body, a pathogen, and a plasmodium pathogen; extract, from the one or more images, at least one candidate-informative feature associated with the candidate of the given entity, the at least one candidate-informative feature comprising a size of the candidate, a shape of the candidate, a motion of the candidate, an intensity of the candidate, a location of the candidate within the bodily sample, a property of a cell overlapping the candidate, a color of the candidate, a texture of the candidate, and/or a sharpness of a boundary of the candidate, extract, from the one or more images, at least one sample-informative feature that is indicative of a characteristic of the bodily sample as a whole, the at least one sample-informative feature comprising sizes of non-candidate constituents in the bodily sample, shapes of non-candidate constituents within the bodily sample, intensities of non-candidate constituents within the bodily sample, and/or a quantity of cells of a given cell type within the bodily sample, determine a likelihood of the element being the given entity by processing the candidate-informative feature in combination with the sample-informative feature, and perform a blood count upon the bodily sample, at least partially in response thereto. a microscope system configured to acquire one or more microscope images of a bodily sample, the bodily sample including a blood sample, a diluted blood sample, a sample comprising predominantly red blood cells, and/or a diluted sample comprising predominantly red blood cells; and at least one computer processor configured to: identify, in the one or more images, at least one element as being a candidate of a given entity, the given entity being a platelet, a white blood cell, an anomalous white blood cell, a circulating tumor cell, a red blood cell, a reticulocyte, a Howell Jolly body, a pathogen, and a plasmodium pathogen; extract, from the one or more images, at least one candidate-informative feature associated with the candidate of the given entity, the at least one candidate-informative feature comprising a size of the candidate, a shape of the candidate, a motion of the candidate, an intensity of the candidate, a location of the candidate within the bodily sample, a property of a cell overlapping the candidate, a color of the candidate, a texture of the candidate, and/or a sharpness of a boundary of the candidate, extract, from the one or more images, at least one sample-informative feature that is indicative of a characteristic of the bodily sample as a whole, the at least one sample-informative feature comprising sizes of non-candidate constituents in the bodily sample, shapes of non-candidate constituents within the bodily sample, intensities of non-candidate constituents within the bodily sample, and/or a quantity of cells of a given cell type within the bodily sample, determine a likelihood of the element being the given entity by processing the candidate-informative feature in combination with the sample-informative feature, and perform a blood count upon the bodily sample, at least partially in response thereto. identify, in the one or more images, at least one element as being a candidate of a given entity, the given entity being a platelet, a white blood cell, an anomalous white blood cell, a circulating tumor cell, a red blood cell, a reticulocyte, a Howell Jolly body, a pathogen, and a plasmodium pathogen; extract, from the one or more images, at least one candidate-informative feature associated with the candidate of the given entity, the at least one candidate-informative feature comprising a size of the candidate, a shape of the candidate, a motion of the candidate, an intensity of the candidate, a location of the candidate within the bodily sample, a property of a cell overlapping the candidate, a color of the candidate, a texture of the candidate, and/or a sharpness of a boundary of the candidate, extract, from the one or more images, at least one sample-informative feature that is indicative of a characteristic of the bodily sample as a whole, the at least one sample-informative feature comprising sizes of non-candidate constituents in the bodily sample, shapes of non-candidate constituents within the bodily sample, intensities of non-candidate constituents within the bodily sample, and/or a quantity of cells of a given cell type within the bodily sample, determine a likelihood of the element being the given entity by processing the candidate-informative feature in combination with the sample-informative feature, and perform a blood count upon the bodily sample, at least partially in response thereto.