Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Shan Yu

Bo Ye

Huan Qi

Yuan Xing

Wei Luo

Qiaoni Chen

Yi Ye

Bin Jiang

Wenbo Zheng

Zhaoyang Li

Xiujuan Li

Qiyao Wang

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.

Cell image analysis device and sample analysis method

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.

Device for analyzing cell morphology, and method for identifying cells

A target cell statistical method, apparatus and system are provided. A cell image of a blood specimen is acquired by a cell image analysis apparatus. The blood specimen is derived from a blood sample to be tested. A number of target cells and a number of reference cells in the cell image are automatically identified by the cell image analysis apparatus. A number of reference cells in the blood sample to be tested is acquired by the cell image analysis apparatus, and a number of target cells in the blood sample to be tested is calculated by the cell image analysis apparatus, based on the number of target cells and the number of reference cells in the cell image and the number of reference cells in the blood sample to be tested.

Target cell statistical method, apparatus, and system

Embodiments of the present invention relate to a sample image photographing method and a corresponding sample image photographing apparatus. The method comprises: transporting a sample carrier to be tested to an imaging device; determining a focusing surface representation function of said current sample carrier according to a feature of a sample on said current sample carrier, the focusing surface representation function representing a relationship between horizontal position coordinates and a focusing parameter of each point to be photographed in a sample area of said current sample carrier: controlling a horizontal drive component of a driving device such that said current sample carrier moves continuously horizontally relative to the imaging device; and causing said current sample carrier to always satisfy the focusing surface representation function during the continuous horizontal motion, so that the imaging device continuously photographs an area of interest of said current sample carrier during the continuous horizontal motion.

Sample testing method and sample analyzer

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.

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Shenzhen, China

Shan Yu