scholarly journals Detection of Sickle Cell Anemia Through Contour Evidence Extraction and Estimation

Author(s):  
Aruna N S. ◽  
◽  
Dr. Hariharan S. ◽  

Diagnosis of sickle cell anemia by manual visual inspection through microscope is time consuming and causes human errors. Observational errors occur mostly due to overlapping of cells in blood smear image. Here, an automatic segmentation approach is introduced which isolates sickle cells from all other cells within a blood sample. The proposed system is an approach to find the elliptically shaped sickle cells through geometric feature extraction and contour based segmentation to isolate sickle cells. This technique is a method of isolating sickle cells from other cells within blood sample using cell morphology. A combined approach of extraction of seed points, contour extraction and estimation of contours is used for separation of sickle cells from red blood cells. The methods used for the extraction of seed points are by Ultimate Erosion for Convex Sets and Fast Radial Symmetry transform. The contour evidence is extracted by associating edges of the cells to the seed points. The overlapping and clustered cells in image are identified using ellipse fitting method for contour estimation. Using the seed points and the contour extraction, the edges of the cells are estimated. The lines joining the shape of cells are drawn through estimation of shape of contour. This eliminates cells other than elliptical shaped cells. The proposed system can successfully isolate sickle cells from healthy blood cells within the blood smear image. This automated system has a better accuracy and faster computation speed compared to the existing methods for the detection of sickle cells. This identification methodology helps the health professionals for faster diagnosis.

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 427 ◽  
Author(s):  
Laith Alzubaidi ◽  
Mohammed A. Fadhel ◽  
Omran Al-Shamma ◽  
Jinglan Zhang ◽  
Ye Duan

Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death. The key function of red blood cells (erythrocytes) is to supply all the parts of the human body with oxygen. Red blood cells (RBCs) form a crescent or sickle shape when sickle cell anemia affects them. This abnormal shape makes it difficult for sickle cells to move through the bloodstream, hence decreasing the oxygen flow. The precise classification of RBCs is the first step toward accurate diagnosis, which aids in evaluating the danger level of sickle cell anemia. The manual classification methods of erythrocytes require immense time, and it is possible that errors may be made throughout the classification stage. Traditional computer-aided techniques, which have been employed for erythrocyte classification, are based on handcrafted features techniques, and their performance relies on the selected features. They also are very sensitive to different sizes, colors, and complex shapes. However, microscopy images of erythrocytes are very complex in shape with different sizes. To this end, this research proposes lightweight deep learning models that classify the erythrocytes into three classes: circular (normal), elongated (sickle cells), and other blood content. These models are different in the number of layers and learnable filters. The available datasets of red blood cells with sickle cell disease are very small for training deep learning models. Therefore, addressing the lack of training data is the main aim of this paper. To tackle this issue and optimize the performance, the transfer learning technique is utilized. Transfer learning does not significantly affect performance on medical image tasks when the source domain is completely different from the target domain. In some cases, it can degrade the performance. Hence, we have applied the same domain transfer learning, unlike other methods that used the ImageNet dataset for transfer learning. To minimize the overfitting effect, we have utilized several data augmentation techniques. Our model obtained state-of-the-art performance and outperformed the latest methods by achieving an accuracy of 99.54% with our model and 99.98% with our model plus a multiclass SVM classifier on the erythrocytesIDB dataset and 98.87% on the collected dataset.


Blood ◽  
2001 ◽  
Vol 98 (5) ◽  
pp. 1577-1584 ◽  
Author(s):  
Kitty de Jong ◽  
Renee K. Emerson ◽  
James Butler ◽  
Jacob Bastacky ◽  
Narla Mohandas ◽  
...  

Several transgenic murine models for sickle cell anemia have been developed that closely reproduce the biochemical and physiological disorders in the human disease. A comprehensive characterization is described of hematologic parameters of mature red blood cells, reticulocytes, and red cell precursors in the bone marrow and spleen of a murine sickle cell model in which erythroid cells expressed exclusively human α, γ, and βS globin. Red cell survival was dramatically decreased in these anemic animals, partially compensated by considerable enhancement in erythropoietic activity. As in humans, these murine sickle cells contain a subpopulation of phosphatidylserine-exposing cells that may play a role in their premature removal. Continuous in vivo generation of this phosphatidylserine-exposing subset may have a significant impact on the pathophysiology of sickle cell disease.


Blood ◽  
1996 ◽  
Vol 87 (11) ◽  
pp. 4845-4852 ◽  
Author(s):  
M Natarajan ◽  
MM Udden ◽  
LV McIntire

Two factors that are hypothesized to contribute to vasoocclusive crises in sickle cell anemia are increased sickle red blood cell-endothelial cell interactions and damage to endothelium. Despite considerable study, the mechanisms by which erythrocyte-endothelial interactions occur and the role of endothelial damage have not yet been fully elucidated. In this report, we demonstrate that adhesion and damage may be related in a model of vasoocclusion in sickle cell anemia. Phase contrast microscopy coupled to digital image processing was used to determine the adhesion of sickle red blood cells to 1-, 4-, and 24-hour interleukin-I beta (IL-1 beta) stimulated endothelial calls in a parallel plate flow chamber. Morphological alterations to activated endothelial cells after the perfusion of sickle erythrocytes were also identified. Pretreatment of monolayers with 50 pg/mL of IL-1 beta for 1, 4, and 24 hours caused approximately 16-fold increases in adhesion of sickle cells to activated endothelium at all time points. Results with an Arginine-glycine aspartic acid (RGD) peptide and monoclonal antibodies indicated a role for three different endothelial cell receptors: alpha v beta 3 after 1 hour of IL-1 beta stimulation; E- selectin after 4 hours of IL-1 beta stimulation; and vascular cell adhesion molecule-1 after prolonged exposure to cytokines. Perfusion of sickle, but not normal, erythrocytes resulted in alteration of endothelial morphology. Approximately 6% to 8% damage was observed on 4- and 24-hour IL-1 beta stimulated endothelial cells after the perfusion of sickle cells. Damage to 24-hour activated endothelial cells showed a positive correlation (r = .899) with the number of adherent sickle erythrocytes.


2021 ◽  
Vol 5 (2) ◽  
pp. 200-210
Author(s):  
Sagar Yeruva ◽  
M. Sharada Varalakshmi ◽  
B. Pavan Gowtham ◽  
Y. Hari Chandana ◽  
PESN. Krishna Prasad

A molecule called hemoglobin is found in red blood cells that holds oxygen all over the body. Hemoglobin is elastic, round, and stable in a healthy human. This makes it possible to float across red blood cells. But the composition of hemoglobin is unhealthy if you have sickle cell disease. It refers to compact and bent red blood cells. The odd cells obstruct the flow of blood. It is dangerous and can result in severe discomfort, organ damage, heart strokes, and other symptoms. The human life expectancy can be shortened as well. The early identification of sickle calls will help people recognize signs that can assist antibiotics, supplements, blood transfusion, pain-relieving medications, and treatments etc. The manual assessment, diagnosis, and cell count are time consuming process and may result in misclassification and count since millions of red blood cells are in one spell. When utilizing data mining techniques such as the multilayer perceptron classifier algorithm, sickle cells can be effectively detected with high precision in the human body. The proposed approach tackles the limitations of manual research by implementing a powerful and efficient MLP (Multi-Layer Perceptron) classification algorithm that distinguishes Sickle Cell Anemia (SCA) into three classes: Normal (N), Sickle Cells(S) and Thalassemia (T) in red blood cells. This paper also presents the precision degree of the MLP classifier algorithm with other popular mining and machine learning algorithms on the dataset obtained from the Thalassemia and Sickle Cell Society (TSCS) located in Rajendra Nagar, Hyderabad, Telangana, India. Doi: 10.28991/esj-2021-01270 Full Text: PDF


2019 ◽  
Vol 47 (1) ◽  
Author(s):  
Monica Alejandra Camargo Castillo ◽  
Bruno Albuquerque De Almeida ◽  
Felipe Yuji Okano ◽  
Angelica Menin ◽  
Stella De Feira Valle

Background: Canine distemper has been classified as highly contagious for most of domestic and wild carnivores, and the infection can be fatal. Canine distemper inclusion bodies, also denominated Lenz inclusion bodies, are large aggregates of viral nucleocapsid particles that can be form in red blood cells (RBCs), white blood cells (WBCs) and epithelial cells in many tissues during the acute phase of infection. Their presence in blood is transient and rarely encountered in light microscopy but are pathognomonic when identified in blood smears. The objective of this study was to investigate the frequency of distemper inclusions in erythrocytes according to the fraction of the sample used for blood smears. Materials, Methods & Results: The study was conducted with routine blood sample provided by the Veterinary Laboratory of Clinical Analysis from the Veterinary Teaching Hospital of Universidade Federal do Rio Grande do Sul. The EDTA-K2 blood sample of a 40 days old male dog, mixed breed, no immunization records, presenting diarrhea, hyporexia, myoclonus and pustules in the abdomen, was selected. In a routine peripheral blood smear examination, several distemper inclusions were observed in the erythrocytes. From this sample, ten smears were performed using a whole blood (WB) and top erythrocyte fraction combined with buffy coat, denominated of expanded buffy coat (EBC). The EBC fraction was obtained after centrifugation of EDTA whole blood in microhematocrit tubes at 9600 x g for 5 min to obtained the packed cell volume (PCV) and buffy coat. After centrifugation, the blood cells are separated into three layers based on density: platelets (adjacent to supernatant), WBCs, and RBCs in the bottom. The PCV was measured and the microhematocrit tube was ruptured 2% below the interface between leukocytes and plasma, deposited into a plastic microtubes, homogenized and used for blood smear preparation. All smears were stained with Diff-Quick Stain. The frequency of observation of RBCs with distemper inclusions bodies was performed under optical microscopy, in the immersion objective (100x), accounting for complete fields up to a minimum of 1000 RBCs, and compared between WB and EBC. In comparison between blood smears obtained from WB and EBC, a highly significant difference (P = 0.0004) was observed in the frequency distribution of distemper inclusion. The median of frequency of RBCs with distemper inclusions in a WB smears was 12.68/1000 RBCs (10.1 - 16.1/1000 RBCs), with a coefficient of variation (CV) of 12%. Median of frequency of distemper inclusions from EBC smears was 54.23/1000 RBCs (45-77.9/1000 RBCs), CV of 18% were observed. The median frequency of inclusions found in EBC smears was 4.27 times higher than the WB smears. Discussion: Buffy coat smear providing a concentrated preparation of nucleated cells and this procedure is useful to looking for low-incidence infectious organisms or other hematologic alterations. The upper fraction of the RBC column, below the buffy coat, is composed of young RBCs. Selection of these portion, and their possible formed in the bone marrow viral replication phase, could justified the increase in the frequency of RBCs containing viral inclusions in EBC, which would also increase the sensitivity of the technique. EBC was homogenized previously to make the smears, certifying the adequate cell distribution in the slide surface without interfere with the frequency of distemper inclusion in RBCs observation. These results were confirmed with the coefficients of variation. In conclusion, distemper inclusions bodies in RBCs from EBC is a recommended diagnosis method in patients suspected of canine Distemper infection. The observation being more frequent in the EBC in comparison with WB, commonly used in veterinary hematology.


2021 ◽  
Vol 26 (09) ◽  
Author(s):  
Endris Muhammed ◽  
James Cooper ◽  
Daniel Devito ◽  
Robert Mushi ◽  
Maria del Pilar Aguinaga ◽  
...  

2016 ◽  
Vol 4 (11) ◽  
pp. 1800-1807
Author(s):  
Dr.Hariharan S. ◽  
◽  
Aruna N.S ◽  

Author(s):  
KRISHNA KUMAR ◽  
Nitish Kumar ◽  
Amresh gupta ◽  
Arpita singh ◽  
Pandey Swarnima ◽  
...  

Sickle cell anemia is a common disease in Oman country. In this disease, sickle-shaped cells are formed. These cells interrupt blood vessels and cause a reduction in oxygen transportation. It was founded that henna (Lawsonia inermis) can prohibit the formation of sickle cells. The Lawsone (2-Hydroxy-1,4-Naphthoquinone) is the constituents of henna which is responsible for the anti-sickling activity, by increasing the oxygen affinity of red blood cells. Hena has the anti-sickling activity which is proved by incubating aqueous and methanolic henna extracts with sickle cell disease patient's whole blood. Then for reduction to oxygen tension 2%, sodium bisulphite was added. Therefore, the percentage of sickled cells to normal red blood cells was observed at 30 minutes intervals. Henna proved a delay in the sickling process in 84% of the tested samples. Both extracts(aqueous and methanolic henna) can delay sickling for about an hour.


2019 ◽  
Vol 7 (6) ◽  
pp. e14027 ◽  
Author(s):  
Halima Al Balushi ◽  
Kobina Dufu ◽  
David C. Rees ◽  
John N. Brewin ◽  
Anke Hannemann ◽  
...  

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