White Blood Cell Components Separation for Hematological Disease Detection

Background Any contamination in the human body can prompt changes in blood cell morphology and various parameters of cells. The minuscule images of blood cells are examined for recognizing the contamination inside the body with an expectation of maladies and variations from the norm. Appropriate segmentation of these cells makes the detection of a disease progressively exact and vigorous. Microscopic blood cell analysis is a critical activity in the pathological analysis. It highlights the investigation of appropriate malady after exact location followed by an order of abnormalities, which assumes an essential job in the analysis of various disorders, treatment arranging, and assessment of results of treatment. Methodology A survey of different areas where microscopic imaging of blood cells is used for disease detection is done in this paper. Research papers from this area are obtained from a popular search engine, Google Scholar. The articles are searched considering the basics of blood such as its composition followed by staining of blood, that is most important and mandatory before microscopic analysis. Different methods for classification, segmentation of blood cells are reviewed. Microscopic analysis using image processing, computer vision and machine learning are the main focus of the analysis and the review here. Methodologies employed by different researchers for blood cells analysis in terms of these mentioned algorithms is the key point of review considered in the study. Results Different methodologies used for microscopic analysis of blood cells are analyzed and are compared according to different performance measures. From the extensive review the conclusion is made. Conclusion There are different machine learning and deep learning algorithms employed by researchers for segmentation of blood cell components and disease detection considering microscopic analysis. There is a scope of improvement in terms of different performance evaluation parameters. Different bio-inspired optimization algorithms can be used for improvement. Explainable AI can analyze the features of AI implemented system and will make the system more trusted and commercially suitable.

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P2212 A comparative study of white blood cell count, neopterin and C-reactive protein for prediction of stenosis complexity in patients with non-ST-segement elevation acute coronary syndromes

European Heart Journal ◽

10.1016/s0195-668x(03)95206-7 ◽

2003 ◽

Vol 24 (5) ◽

pp. 420

Author(s):

P AVANZAS

Keyword(s):

Blood Cell ◽

Comparative Study ◽

Cell Count ◽

White Blood Cell Count ◽

White Blood Cell ◽

Acute Coronary Syndromes ◽

C Reactive Protein ◽

Blood Cell Count ◽

Reactive Protein ◽

Coronary Syndromes

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An Alternative Elastase-mediated Degradation of Fibrinogen and Fibrin Observed in a Patient with Herpes Simplex Encephalitis and Pneumonia

Thrombosis and Haemostasis ◽

10.1055/s-0038-1650550 ◽

1996 ◽

Vol 76 (02) ◽

pp. 184-186 ◽

Cited By ~ 2

Author(s):

Kenji lijima ◽

Fumiyo Murakami ◽

Yasushi Horie ◽

Katsumi Nakamura ◽

Shiro Ikawa ◽

...

Keyword(s):

Herpes Simplex ◽

Blood Cell ◽

White Blood Cell ◽

Herpes Simplex Encephalitis ◽

Pmn Elastase ◽

Cell Counts ◽

Blood Cell Counts ◽

Sds Page ◽

White Blood Cell Counts ◽

Pmn Élastase

SummaryA 74-year-old female developed pneumonia following herpes simplex encephalitis. Her white blood cell counts reached 28,400/μl, about 90% of which consisted of granulocytes. The polymorphonuclear (PMN) elastase/α1-arantitrypsin complex levels increased and reached the maximum of 5,019 ng/ml, indicating the release of a large amount of elastase derived from the granulocytes. The mechanism of PMN elastase release was most likely to be granulocyte destruction associated with phagocytosis. The cleavage of fibrinogen and fibrin by PMN elastase, independent of plasmin, was indicated by the presence of the fragments in immunoprecipitated plasma from the patient corresponding to elastase-induced FDP D and DD fragments and the absence of fragments corresponding to plasmin-induced FDP D and DD fragments on SDS-PAGE. These findings suggested that the large amount of PMN elastase released from the excessive numbers of granulocytes in this patient with herpes simplex encephalitis and pneumonia, induced the cleavage of fibrinogen and fibrin without the participation of plasmin.

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Development and study of a method for cell separation during white blood cell segmentation on images of bone marrow preparations in information and measurement systems for diagnostics of acute leukemia

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2020-7-68-72 ◽

2020 ◽

pp. 68-72

Author(s):

V.G. Nikitaev ◽

A.N. Pronichev ◽

V.V. Dmitrieva ◽

E.V. Polyakov ◽

A.D. Samsonova ◽

...

Keyword(s):

Bone Marrow ◽

Blood Cell ◽

Acute Leukemia ◽

White Blood Cell ◽

Cell Separation ◽

Large Scale ◽

Bone Marrow Cells ◽

Automated Analysis ◽

Cell Segmentation ◽

Measurement Systems

The issues of using of information and measurement systems based on processing of digital images of microscopic preparations for solving large-scale tasks of automating the diagnosis of acute leukemia are considered. The high density of leukocyte cells in the preparation (hypercellularity) is a feature of microscopic images of bone marrow preparations. It causes the proximity of cells to eachother and their contact with the formation of conglomerates. Measuring of the characteristics of bone marrow cells in such conditions leads to unacceptable errors (more than 50%). The work is devoted to segmentation of contiguous cells in images of bone marrow preparations. A method of cell separation during white blood cell segmentation on images of bone marrow preparations under conditions of hypercellularity of the preparation has been developed. The peculiarity of the proposed method is the use of an approach to segmentation of cell images based on the watershed method with markers. Key stages of the method: the formation of initial markers and builds the lines of watershed, a threshold binarization, shading inside the outline. The parameters of the separation of contiguous cells are determined. The experiment confirmed the effectiveness of the proposed method. The relative segmentation error was 5 %. The use of the proposed method in information and measurement systems of computer microscopy for automated analysis of bone marrow preparations will help to improve the accuracy of diagnosis of acute leukemia.

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