Patent classifications
G01N2015/014
Sample analyzer and sample analyzing method thereof
A sample analyzer with an optical detection device and a sample analysis method of the sample analyzer are disclosed. The optical detection device includes a fluid chamber, a light source and a light detector. The fluid chamber includes an illumination zone. An analyte flows through the illumination zone so as to form a sample stream. The light source illuminates the illumination zone to excite cell articles, reacted with a reagent, of the sample stream to emit a light signal. The light detector detects the fluorescent lights and transforms it into an electric signal. The light detector can include a silicon photomultiplier.
Hematological analyzer, method for analyzing body fluid and computer program product
A hematological analyzer for measuring blood, sets a body fluid measurement mode; receives a measurement start instruction; irradiates a measurement sample with light and obtains optical information from cells contained in the measurement sample; and classifies at least white blood cells and nucleated cells other than white blood cells contained in the measurement sample, and counts the white blood cells and nucleated cells other than white blood cells based on the optical information obtained from the cells in the measurement sample prepared from a body fluid sample and white blood cell measuring reagent when the body fluid measurement mode has been set and the measurement start instruction has been selected, is disclosed. A method for analyzing body fluid and a computer program product are also disclosed.
Flow cell carrier device
The present disclosure relates to a flow cell carrier. The flow cell carrier may include a flow cell and a frame. The frame may include a pocket and a handle. The pocket may have at least one spring feature and at least one banking feature. The frame may be configured to retain the flow cell within the pocket such that a maximal surface area of the flow cell is exposed to an optical lens. Related methods and kits are also disclosed.
Infection detection and differentiation systems and methods
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.
Method for correcting a blood cell parameter, blood sample analyzer and storage medium
A blood cell parameter correction method includes: obtaining the optical signal information of the particles in the blood sample; according to the pulse width information in the optical signal information, dividing the particles in the blood sample to obtain particle distribution information; according to the preset correction rule, correcting the particle distribution information to obtain the corrected particle distribution information; wherein, the correction rule is related to the pulse width information in the optical signal information, and provided is also a blood sample analyzer executing the method, and storage medium storing the program executing the method.
Sample analyzer and computer program product
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.
SYSTEMS AND METHODS TO DETERMINE THE AGE OF CELLS
Systems and methods are provided for determining the age of cellular hemoglobin in individual red blood cells in a blood sample by determining the percentage of HbA1c. In embodiments, a method includes measuring side scatter and fluorescence of the individual red blood cells and identifying immature red blood cells and mature red blood cells from the side scatter and fluorescence measurement. In embodiments, data collected includes the exact number of red blood cells, the fraction limits in fluorescence and side scatter units, the mean value of each fraction in fluorescence and side scatter units, the mean FL1 values per fraction in arbitrary units and the mean side scatter values per fraction in arbitrary units. In embodiments, a method also includes deriving a HbA1c content from the measured mean fluorescence of the individual red blood cells and determining the percentage of HbA1c from the HbA1c content and the hemoglobin content of the red blood cells.
SAMPLE ANALYZER AND COMPUTER PROGRAM PRODUCT
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.
FLOW CELL CARRIER AND METHODS OF USE
The present disclosure relates to a flow cell carrier. The flow cell carrier may include a flow cell and a frame. The frame may include a pocket and a handle. The pocket may have at least one spring feature and at least one banking feature. The frame may be configured to retain the flow cell within the pocket such that a maximal surface area of the flow cell is exposed to an optical lens. Related methods and kits are also disclosed.
SAMPLE TESTING METHOD AND SAMPLE ANALYZER
The disclosure provides a sample testing method and a sample analyzer, the method including: obtaining a sample to be tested; providing a reagent, the reagent including a hemolytic agent, a first fluorescent dye and a third fluorescent dye; mixing the sample and the reagent to form a sample solution; making the sample solution flow in a flow cell in a single test, irradiating the particles by using a first light source and a second light source, and detecting scattered light signals, first fluorescence signals and third fluorescence signals; obtaining a classification result and/or a counting result of white blood cells in the sample to be tested based on the first fluorescence signals and the scattered light signals; and obtaining a counting result of nucleated red blood cells in the sample to be tested based on the third fluorescence signals and the scattered light signals.