Disclosed in one aspect is a method for performing a complete blood count (CBC) on a sample of whole blood by metering a predetermined amount of the whole blood and mixing it with a predetermined amount of diluent and stain and transferring a portion thereof to an imaging chamber of fixed dimensions and utilizing an automated microscope with digital camera and cell counting and recognition software to count every white blood cell and red blood corpuscle and platelet in the sample diluent/stain mixture to determine the number of red cells, white cells, and platelets per unit volume, and analyzing the white cells with cell recognition software to classify them.

A medical analysis device with cellular impedance signal processing comprises a memory (4) arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, these data together representing a curve of cellular impedance values that are measured as a cell passes through a polarised opening. This device further comprises a classifier (6) comprising a convolutional neural network receiving the pulse data sets as input and is provided with at least one convolutional layer, which convolutional layer has a depth greater than or equal to 3, and at least two fully connected layers, in addition to an output layer rendering a cell classification from which a pulse data set is derived.

A device for analyzing cell morphology and a method for identifying cells are provided. A digital camera photographs a cell image of a blood sample under a low-magnification objective lens. A processor identifies and positions suspected cells of preset type in the cell image to obtain an identification result. Based on the identification result and a target number, the processor determines a number of suspected cells of preset type to be identified and positioned under the low-magnification objective lens. The digital camera further photographs, under a high-magnification objective lens, the suspected cells of preset type identified and positioned, and then the processor identifies whether the suspected cells of preset type photographed are cells of preset type, to count the number of cells of preset type photographed under the high-magnification objective lens and obtain a statistical value. If the statistical value≥the target number, photographing is stopped.

Provided are cell image analysis devices and sample analysis methods. A sample smear of a test sample is imaged by an imaging device in an assigned analysis mode to obtain first cell images of the test sample, which are identified and analyzed by a control device. If it is identified that there is preset abnormality in the sample smear, an analysis mode different from the assigned analysis mode and corresponding to the present abnormality is determined as an additional analysis mode, and the imaging device is controlled to image the sample smear in the additional analysis mode. The additional analysis mode matches with the preset abnormality, so that the imaging device is allowed to obtain cell images in the additional analysis mode, to identify and analyze the cell images matching the preset abnormality, thereby increasing processing efficiency and accuracy of processing result.

The present invention provides a method of identifying and mitigating a risk of deathloss of an animal, comprising receiving, at a processor from a hematology analyzer, information obtained from a sample from said animal, wherein said information comprises a leukocyte absolute count and a leukocyte differential from said sample, said sample comprising leukocytes, analyzing, by said processor, said leukocyte absolute count and said leukocyte differential to determine a survivability index for said animal, and managing the animal based on the survivability index.

A sample analysis system, method and a cell image analysis device. The sample analysis system includes a blood cell analyzer, a smear preparation apparatus, a cell image analysis apparatus, and a controller. The controller obtains a test result of at least one sample from the blood cell analyzer. When one sample needs to be analyzed by the cell image analysis device, the controller can further control an imaging condition used by the cell image analysis device according to a value of at least one type of cells in the test result of the sample, such that the cell image analysis device can automatically selects an imaging condition matching the test result for imaging according to different test results of the sample. Therefore, a matching imaging condition is used to specifically capture and analyze cell images of a smear of the sample, thereby improving processing efficiency and accuracy.

The present technology relates to systems and associated methods for measuring properties of particles in a solution. In one or more embodiments, a particle measurement system is configured to generate a reference signal, communicate the reference signal across a plurality of resistors and overlapping pairs of electrodes that define detection regions for particulates traveling through a microchannel, and measure various properties of the particles based on detecting changes in the communicated reference signal.

An exemplary mobile impedance-based flow cytometer is developed for the diagnosis of sickle cell disease. The mobile cytometer may be controlled by a computer (e.g., smartphone) application. Calibration of the portable device may be performed using a component of known impedance value. With the developed portable flow cytometer, analysis may be performed on two sickle cell samples and a healthy cell sample. The acquired results may subsequently be analyzed to extract single-cell level impedance information as well as statistics of different cell conditions. Significant differences in cell impedance signals may be observed between sickle cells and normal cells, as well as between sickle cells under hypoxia and normoxia conditions.

A second device includes a first surface, a second surface in contact with a first device, and a first hole extending through and between the first and second surfaces and being continuous with a groove on the first device. A third device includes a third surface in contact with the first surface, a second hole open in the third surface and continuous with the first hole, and a flow path continuous with the second hole and open in the third surface. As viewed in a first direction from the first to second surfaces, the second hole has a diameter greater than a width of the flow path. The first hole has a greater diameter than the second hole. The second hole has a center surrounded by the first hole. The flow path intersects with the first hole at not more than one point or does not intersect with it.

In a flow path device, a first groove, a second groove and a third groove are provided. The first groove is connected to and continuous with a first hole. The second groove is connected to and continuous with the first groove. The third groove is connected to and continuous with the second groove. The third groove is connected to the second groove at a position on the second groove spaced from the first groove. The first groove extends toward a position opposite to the second groove with respect to the first hole. The second groove and the third groove define a first minor angle adjacent to the first hole and define a second minor angle opposite to the first hole. The first minor angle is larger than the second minor angle.