Abstract: Provided are a method and device for recognizing hook effect in immune turbidimetry, and a computer readable medium. This method generates a reaction curve using light signals measured in a predetermined time period by immune reaction of analyte in a sample, and uses distribution information of the reaction curve in the predetermined time period to determine whether the sample has hook effect. This method only uses measurement information of a small predetermined time period in entire reaction time to determine whether a sample has hook effect, and terminates the test in time, thus accelerating the speed of immune turbidimetry detection of samples with hook effect.

Abstract: A method for identifying fragmented red blood cells comprising: acquiring side scatter light signals and fluorescence signals of cell particles in a sample liquid; and distinguishing and identifying a fragmented red blood cell population from the cell particles according to the side scatter light signals and the fluorescence signals of the cell particles. The fragmented red blood cell population can be identified from the cell particles by processing and analyzing the side scatter light signals and fluorescence signals of the sample liquid. The present application further provides a device for identifying fragmented red blood cells, a blood cell analyzer and an analysis method. Fragmented red blood cells can be identified according to the fluorescence that characterizes a nucleic acid content in a cell particle and the side scatter light, thus reducing errors in identification and counting.

Abstract: Disclosed are a method for detecting a blood sample, a blood cell analyzer, and a storage medium. The method includes: acquiring at least two types of optical signal values of cells in a sample from a target detection channel, and generating a scattergram or a data array according to the at least two types of optical signal values of the cells; detecting cell distribution information of an aging characteristic region in the scattergram or data array; and outputting a detection result according to the cell distribution information.

Abstract: A blood analysis method, a blood analysis system, and a storage medium are provided. The blood analysis method includes: providing a blood sample; mixing a first aliquot of the blood sample with a diluent to prepare a first test sample; mixing a second aliquot of the blood sample with a lytic reagent to prepare a second test sample; detecting electrical impedance signals of the first test sample to obtain first volume distribution data; detecting at least two types of optical signals of the second test sample to obtain second volume distribution data; acquiring red blood cell test data of the blood sample; determining, based on the first volume distribution data, the second volume distribution data, and the red blood cell test data, whether the blood sample contains schistocytes; and if the determination result is yes, providing a warning that the blood sample may contain schistocytes.

Abstract: Disclosed are a blood analysis system, a blood analyzer, a blood analysis method and a storage medium. The blood analysis method includes: acquiring at least two types of optical signals of a test sample derived from a blood sample, wherein red blood cells in the test sample are lysed, blood cells in the test sample are stained by a fluorescence dye, and the at least two types of optical signals include scattered light signals and/or fluorescent signals; generating a scattergram based on the at least two types of optical signals; identifying a preset region in the scattergram based on the at least two types of optical signals; and acquiring detection data of a platelet subpopulation based on the preset region.

Abstract: A method, system and storage medium for providing an alarm for indicating that an abnormality is present in a sample analyzer are provided. The method includes: mixing a first aliquot of a blood sample with a diluent agent to prepare a first test sample; mixing a second aliquot of the blood sample with a lytic reagent to prepare a second test sample; detecting electrical impedance signals of the first test sample; detecting at least two types of optical signals of the second test sample; acquiring first platelet detection data based on the electrical impedance signals; acquiring second platelet detection data based on the at least two types of optical signals; acquiring an evaluation result based on a difference between the first platelet detection data and the second platelet detection data; determining whether the evaluation result meets a preset condition to provide an alarm.

Abstract: Disclosed are a method for determining a platelet concentration of a blood sample, a hematology system (100) and a storage medium.

Abstract: A blood analyzer and a blood analysis method thereof are provided. The blood analyzer includes a test sample preparation apparatus, a flow chamber, a measurement apparatus and a data processor. The method adopts a white blood cell measurement channel to detect a test blood sample subjected to hemolysis and fluorescence staining and utilizes data in a blood ghost region to identify reticulocyte particles, thereby realizing differentiation of reticulocytes and large platelets and realizing finer classification and count of reticulocytes without separately designing an optical detection channel in the blood analyzer. A computer readable storage medium is also disclosed, in which a program is stored, and the program can be executed by the data processor to implement the above method.

Abstract: An alarming method for a platelet aggregation sample can include providing a blood sample, preparing a first test sample from the blood sample under a first reaction condition, acquiring a test signal of the first test sample, and obtaining first platelet test data. The method can also include preparing a second test sample from the blood sample under a second reaction condition, acquiring a test signal of the second test sample, and obtaining second platelet test data. The method can further include obtaining an evaluation result based on the first platelet test data and the second platelet test data, determining whether the evaluation result meets a predetermined condition, and alarming that the blood sample may be the platelet aggregation sample if the evaluation result meets the predetermined condition. The second reaction condition may include a reaction condition for reducing the platelet aggregation degree of the blood sample.

Abstract: A blood cell analysis method and a blood cell analyzer are provided. In the method and analyzer, characteristic information of white blood cell fragments is obtained based on side scattered light information and fluorescence information, characteristic information of platelets is obtained based on forward scattered light information and fluorescence information and then a count value for the platelets is acquired based on the characteristic information of the platelets and the characteristic information of the white blood cell fragments. The present invention can avoid the influence of the white blood cell fragments on the platelet counting, thereby ensuring the accuracy of the platelet counting without increasing costs.

Abstract: A method for identifying fragmented red blood cells comprising: acquiring side scatter light signals and fluorescence signals of cell particles in a sample liquid; and distinguishing and identifying a fragmented red blood cell population from the cell particles according to the side scatter light signals and the fluorescence signals of the cell particles. The fragmented red blood cell population can be identified from the cell particles by processing and analyzing the side scatter light signals and fluorescence signals of the sample liquid. The present application further provides a device for identifying fragmented red blood cells, a blood cell analyzer and an analysis method. Fragmented red blood cells can be identified according to the fluorescence that characterizes a nucleic acid content in a cell particle and the side scatter light, thus reducing errors in identification and counting.