A blood detection method and a blood detection device are disclosed. When a count number of platelet in a blood sample is less than a predetermined value, a detection solution of the blood sample is prepared. A cell statistical amount of the detection solution of the blood sample is increased to obtain the platelet detection result. The cell statistics amount of the detection solution of the blood sample may be increased in an impedance detection area to perform PLT-I detection, or in an RET detection area; or performing both of RET detection and PLT-O detection simultaneously. Thus, the accuracy of platelet detection can be improved when the number of platelets in the blood sample is low.

Embodiments may include an automated method for evaluating an infection status associated with a blood sample obtained from an individual. Methods may include determining, using a first module, a white blood cell concentration associated with the blood sample. In addition, methods may include determining, using a second module, a monocyte volume measure associated with the blood sample. Methods may include evaluating, using a data processing module, the infection status associated with the blood sample. The data processing module may include a processor and a computer readable medium. The computer readable medium may be programmed with a computer application. This computer application, when executed by the processor, may cause the processor to calculate a parameter using a function comprising the white blood cell concentration and the monocyte volume measure. The computer application may also cause the processor to evaluate the infection status associated with the blood sample based on the parameter.

A sample analyzer prepares a measurement sample from a blood sample or a body fluid sample which differs from the blood sample; measures the prepared measurement sample; obtains characteristic information representing characteristics of the components in the measurement sample; sets either a blood measurement mode for measuring the blood sample, or a body fluid measurement mode for measuring the body fluid sample as an operating mode; and measures the measurement sample prepared from the blood sample by executing operations in the blood measurement mode when the blood measurement mode has been set, and measuring the measurement sample prepared from the body fluid sample by executing operations in the body fluid measurement mode that differs from the operations in the blood measurement mode when the body fluid measurement mode has been set, is disclosed. A computer program product is also disclosed.

A visual analysis system may be automatically focused (or the focus of such a system may be automatically corrected) by subjecting one or more images captured by such a system to a multi-layer analysis. In such an analysis, a cell boundary may be identified in an input image based on the lightness value of the pixels of the input image. Based on the identified cell boundary, a predicted nominal focus value is determined which can provide a focusing distance (e.g., a distance between the focal plane of a camera used when an image was captured and the actual focal plane for an in-focus image). This focusing distance may then be used to (re) focus a camera or for other purposes (e.g., generating an alert).

A method for analyzing blood cells includes acquiring first scattered light information, second scattered light information, and fluorescence information generated by irradiating a measurement sample that contains a particle stained with a fluorescent dye with a light of a first wavelength and a light of a second wavelength. The method includes identifying blood cells other than white blood cell from the particles in the measurement sample, with reference to the first scattered light information and the second scattered light information, and/or with reference to the first scattered light information and the fluorescence information. The method includes classifying the blood cells other than white blood cell into reticulocyte and platelet, with reference to the fluorescence information and the second scattered light information The first wavelength can be 315 nm or longer and 600 nm or shorter, and the second wavelength can be 610 nm or longer and 750 nm or shorter.

A method for identifying, analyzing, and quantifying the cellular components of whole blood by means of an automated hematology analyzer and the detection of the light scattered, absorbed, and fluorescently emitted by each cell. More particularly, the aforementioned method involves identifying, analyzing, and quantifying the cellular components of whole blood by means of a light source having a wavelength ranging from about 400 nm to about 450 nm and multiple in-flow optical measurements and staining without the need for lysing red blood cells.

An aqueous multi-phase system for diagnosis of sickle cell disease is described, including two or more phase-separated phases including: a first aqueous phase including a first phase component and having a first density between about 1.025 g/cm.sup.3 and about 1.095 g/cm.sup.3; and a second aqueous phase including a second phase component and having a second density between about 1.100 g/cm.sup.3 and about 1.140 g/cm.sup.3; wherein the first density is lower than the second density; and each of the first and second phase components include at least one polymer.

The current invention relates to cell-cell interaction and in particular to cellular avidity. Provided are improved means and methods to study cell-cell interaction and characterizing cellular avidity, in particular from heterogeneous cell populations. Means and methods are provided which allows for the screening and identification of cells, carrying defined receptors while at the same time determining cellular avidity. This way, highly advantages methods can be provided that allow efficient screening of libraries or heterogeneous cell population for identifying for example receptors of interest.

A method for identifying, analyzing, and quantifying the cellular components of whole blood by means of an automated hematology analyzer and the detection of the light scattered, absorbed, and fluorescently emitted by each cell. More particularly, the aforementioned method involves identifying, analyzing, and quantifying the cellular components of whole blood by means of a light source having a wavelength ranging from about 400 nm to about 450 nm and multiple in-flow optical measurements and staining without the need for lysing red blood cells.

Embodiments may include an automated method for evaluating an infection status associated with a blood sample obtained from an individual. Methods may include determining, using a first module, a white blood cell concentration associated with the blood sample. In addition, methods may include determining, using a second module, a monocyte volume measure associated with the blood sample. Methods may include evaluating, using a data processing module, the infection status associated with the blood sample. The data processing module may include a processor and a computer readable medium. The computer readable medium may be programmed with a computer application. This computer application, when executed by the processor, may cause the processor to calculate a parameter using a function comprising the white blood cell concentration and the monocyte volume measure. The computer application may also cause the processor to evaluate the infection status associated with the blood sample based on the parameter.