Differential Counting Of White Blood Cells Based On Electrical Impedance Method

The detection of white blood cell indicators is essential in blood screening.The num-ber of white blood cell indicators is closely related to coronary atherosclerosis,cardiovas-cular diseases,and metabolic syndrome.Accurate and rapid classification of leukocytes is of great value to the diagnosis of many diseases,and it is an important research in the medical field.At present,manual counting and automatic blood analyzer are widely used in laboratories and hospitals.Manual counting is the gold standard and reference bench-mark for leukocyte classification,but its classification speed is very slow and its accuracy is greatly affected by human factors,so it is not suitable for large-scale sample detection.Large blood analyzer has many advantages,including high accuracy,rich detection indi-cators and large flux,which is very suitable for detailed and in-depth detection and the occasion with low demand for timeliness.However,on the other hand,such equipment is too large,bulky and poor portability,requiring specific testing sites and professional test-ing personnel to work under a variety of reagents and consumables,which will have many limitations in the scenario of immediate testing requirements,and is not suitable for grass-roots or remote and difficult areas.Although the leukocyte image recognition based on deep learning can complete the classification and recognition of cells,it has high require-ments on the hardware platform and requires high-precision optical elements for image acquisition.Although these counting devices and methods have excellent accuracy and provide stable results,they are bulky,expensive,and require specific labeling of samples to achieve better results,which makes the process more complex and time-consuming.These limitations make such devices and methods impractical in some scenarios,espe-cially where large numbers of samples need to be analyzed quickly.In response to the above problems,this thesis focuses on the shortcomings of the traditional large analyzer in portable and real-time detection,and studies and designs an impedance method white blood cell classification and detection system suitable for Point-of-care(POCT)real-time detection.The research successfully extracted cell signals from numerous noise interference,realized the quantitative detection of human white blood cells,and made a contribution to the daily health detection.The system is based on the separate biological sample kit independently designed in this paper,which gets rid of the traditional design concept of integrating the detection hole inside the detection instrument,and innovatively separates the counting hole from the analysis instrument,and it is em-bedded inside the analysis box to design a separate detection module.The analysis box is disposable,convenient for health,avoids cross-infection,and solves the problem of hole blockage from a new Angle.The system also implements automatic processing and visual display of target signals with hardware and software technology.In terms of hardware,weak signals are preliminarily processed through modular circuit design.In terms of soft-ware,Gaussian smoothing and baseline drift filtering are further optimized,and signal features are extracted through a peak detection algorithm.All detection processes are in-tegrated into the instrument,the overall operation is simple,without professional technical background and too much manual intervention.After the analysis box is added into the instrument,it can realize accurate and rapid cell count analysis with one key start.It can play a role in the occasions where many facilities are not complete,such as grassroots detection and home self-test.