Cell monitoring system based on bone marrow cell differentiation

Abstract

The invention discloses a cell monitoring system based on bone marrow cell differentiation. The system comprises a sample processing module, a detection processing module, a real-time monitoring module, an image transmission module, an image segmentation module, an image extraction module, an image analysis module and an automatic reading module, and is characterized in that the output end of thesample processing module is connected with the input end of the detection processing module, the output end and the input end of the detection processing module are further connected with the output end of the real-time monitoring module, and the output end of the real-time monitoring module is further connected with the input end of the image transmission module. The monitoring system provided bythe invention is visual, simple, convenient to control, real-time in monitoring, automatic in calculation and suitable for popularization, the amount of labor is reduced, calculation results are displayed in various ways, the cell change trend can be mastered and understood conveniently, and data support is provided for cell differentiation.

Description

technical field [0001] The invention relates to the technical field of medical image monitoring, in particular to a cell monitoring system based on bone marrow cell differentiation. Background technique [0002] Due to physiological variation and different survey data, the cell ratio of each system and stage of normal bone marrow picture varies widely, so the actual meaning of normal bone marrow picture is the normal range of bone marrow picture, and the decreased data can be used as the normal value of various blood cells in bone marrow smear Reference: The granulocyte system accounts for the largest proportion, accounting for about 1 / 2. Generally, myeloblasts<0.02, promyelocytes<0.05, with the most neutral rod-shaped nuclei, their ratio is greater than that of segmented nuclei, and also more than metamyelocytes, eosinophils<0.05, basophils <0.01; Cell differentiation refers to the process that cells from the same source gradually produce cell groups with diffe...

AI Technical Summary

Problems solved by technology

In general, the process of cell differentiation is irreversible. However, under certain conditions, differentiated cells are also unstable, and their gene expression patterns can also undergo reversible changes and return to their undifferentiated state. This process is called For dedifferentiation; the existing bone marrow cell differentiation monitoring is to record the number of observed cell shapes with the naked eye, and record again after a period of time, and detect the cell differentiation process by recording data, but this method is too laborious , and the work intensity is high, the accuracy of the obtained data is low, the process of cell differentiation is easy to miss if the interval is too long, and the manual calculation cannot be fast, and the display method and data display are in a single form, which is not easy to understand and analyze. Therefore, we A cell monitoring system based on bone marrow cell differentiation is proposed to solve the above problems

Images