Microscopic multispectral marrow and its peripheral blood cell auto-analyzing instrument and method

Abstract

An analyser which comprises light source, microscope, display planar array CCD and computer is featured as the follows: a) filtering system, electric-tuning filter controller and planar CCD are disposed on microscope for quick collection of optical spectrum image, computer is used to change central frequency of band-pass; b) a CCD control and data collection system is used to store digital image into computer for image process and analysis; c) a three-dimensional movable control system is used to realize automatic focusing and scanning and d) a computer is used to carry on image composition, image calibration, automatic division and identification.

Description

technical field [0001] The invention relates to a microscopic multispectral automatic analyzer and method for bone marrow and peripheral blood cells, belonging to the technical field of biomedical detection and analysis instruments and methods, in particular to a rapid detection analyzer and method for human blood cells. Background technique [0002] Blood disease is one of the major diseases that seriously threaten human health. Different blood diseases have different qualitative (including shape) and quantitative changes in blood cells of patients. Wright's staining of conventional bone marrow (blood) cells is artificially performed under a light microscope. Recognition and classification are time-consuming (about 2 hours / case) and highly subjective (people with different levels of knowledge, or the same person observes and classifies differently at different times). It is not conducive to accurate diagnosis and treatment of patients, so it is an important topic in the med...

AI Technical Summary

Problems solved by technology

In the early 1990s, Luo Limin of Southeast University used a microcomputer and a monochrome area array CCD to collect white blood cell images, and systematically studied the problem of white blood cell automatic identification. However, due to the use of monochrome grayscale images, the cell segmentation feature description method is difficult. , resulting in unsatisfactory recognition accuracy. Later, with the development of computer technology and color area array CCD imaging technology, Wang Dinghui, Zhang Yong and others applied color image processing and analysis technology to the automatic classification of blood cells, making the system recognize The rate has been improved, but these research results have not been practically applied

[0005] The first method uses the physicochemical composition information and cell size information of cells, but it cannot use the rich morphological information of cells like hematologists; the second method uses the shape and texture information of cells, but cannot use the components of the cells themselves change information

And the first method is only suitable for peripheral blood examination, not for bone marrow blood cells

Therefore, it is currently impossible to replace artificial bone marrow (blood) cell classification, and can only be used as a screening method

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