scholarly journals Recognition of Infected Erythrocytes by Inclusion Tree Representation and Parasitemia Estimation in Blood Smear Images

2019 ◽  
pp. 308-312
Author(s):  
Doke Pranoti R. ◽  
Doke Pooja R
Keyword(s):  
Blood Cells ◽  
Blood Smear ◽  
Early Stage ◽  
White Blood Cells ◽  
Splitting Method ◽  
World Health ◽  
Tree Representation ◽  
Cell Stage ◽  
Health Organization

Blood cells are composed of erythrocytes (red blood cells, RBCs), leukocytes (white blood cells, WBCs) and thrombocytes (platelets). Both WBC and RBC have fixed count in our body. If their count is less than the ideal count then it is an indication that our body is not healthy. Hence blood count helps in detecting many diseases in early stage.</p> <p>According to World Health Organization about 3.2 billion people are at risk of malaria[2]. But, malaria is preventable and curable, if the patient is correctly diagnosed in early stage.</p> <p>The proposed approach to diagnose malaria mainly consists of following steps:</p> <ol> <li>Preprocessing, Histogram and Segmentation</li> <li>Inclusion-Tree representation</li> <li>Splitting of clumped erythrocytes</li> <li>Counting and labeling</li> <li>Cell stage identification</li> <li>Feature extraction and classification</li> </ol> <p>The algorithm is used to count malaria infected RBC in blood smear. A clump splitting method is used for precise RBC counting. Cell stage identification is performed in this approach by calculating Equivalent Circular Diameter. Quantification method improves overall performance in the determination of stages of infection such as ring, trophozoite and Schizont. Percentage of Parasitemia is calculate.

DETERMINATION OF WHITE BLOOD CELLS USING FOLDSCOPE WITH SMARTPHONE

2019 ◽  
pp. 10-13
Author(s):  
Ranu Kumar ◽  
Prasad Kapildeo
Keyword(s):  
Human Blood ◽  
Blood Cells ◽  
Blood Smear ◽  
Clinical Laboratory ◽  
White Blood Cells ◽  
Healthcare Services ◽  
Field Level ◽  
Morphology Analysis

We are traditionally used Microscope in clinical laboratory for determination of white blood cells of human blood smear. Now, in this study we were used Foldscope with Smartphone in the place of Microscope and examine many samples of human blood smear which was collected from local diagnostic centers. We were very easily quantity & morphology analysis of all types of WBC cells such as Neutrophils, Lymphocytes, Monocytes, Eosionophils, Basophils in blood smear with the help of Foldscope & image taken by Smartphone. The main objective of this study is to use Foldscope for quantity & morphology analysis of human WBCs at field level especially poor resource area where healthcare services or centers is not available & where carry of microscope is not possible.

PENENTUAN KRITERIA PENILAIAN KESAN JUMLAH LEUKOSIT PADA PEMERIKSAAN APUSAN DARAH TEPI

2018 ◽  
Vol 3 (2) ◽  
pp. 52-61
Author(s):  
Dzikra Arwie ◽  
Islawati
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Field Of View ◽  
Laboratory Observation ◽  
Number Of Cells

Leukocytes or white blood cells have a characteristic characteristic of different cells. Determination of the impression of the number of leukocytes is determined in the number of cells in the field of view. While the number of viewable field cells expressed is still quite varied. The purpose of this study was to determine the number of leukocytes in the field of view and expressed the impression of a sufficient amount. This research was conducted at the Laboratory of Health Analyst Department Panrita Husada Bulukumba on 9 April 2017 to 14 July 2017. This type of research is a laboratory observation that aims to determine the criteria for assessing the impression of the number of leukocytes on a peripheral blood smear. Data analysis using statistical analysis is the average and standard deviations to determine the impression of the number of leukocytes and use 3 inspection zones. The results of this study obtained results in zone IV the number of leukocyte impressions said to be sufficient was 7-10, in zone V the number of leukocyte impressions said to be sufficient was 4-9, and in zone VI the number of leukocyte impressions said to be sufficient was 3-8.  

Penentuan Kriteria Penilaian Kesan Jumlah Leukosit Pada Pemeriksaan Apusan Darah Tepi

2018 ◽  
Vol 3 (2) ◽  
pp. 118-127
Author(s):  
Dzikra Arwie ◽  
Islawati
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Field Of View ◽  
Laboratory Observation ◽  
Number Of Cells

Leukocytes or white blood cells have a characteristic characteristic of different cells. Determination of the impression of the number of leukocytes is determined in the number of cells in the field of view. While the number of viewable field cells expressed is still quite varied. The purpose of this study was to determine the number of leukocytes in the field of view and expressed the impression of a sufficient amount. This research was conducted at the Laboratory of Health Analyst Department Panrita Husada Bulukumba on 9 April 2017 to 14 July 2017. This type of research is a laboratory observation that aims to determine the criteria for assessing the impression of the number of leukocytes on a peripheral blood smear. Data analysis using statistical analysis is the average and standard deviations to determine the impression of the number of leukocytes and use 3 inspection zones. The results of this study obtained results in zone IV the number of leukocyte impressions said to be sufficient was 7-10, in zone V the number of leukocyte impressions said to be sufficient was 4-9, and in zone VI the number of leukocyte impressions said to be sufficient was 3-8.

scholarly journals PENENTUAN KRITERIA PENILAIAN KESAN JUMLAH LEUKOSIT PADA PEMERIKSAAN APUSAN DARAH TEPI

2018 ◽  
Vol 3 (2) ◽  
pp. 118-127
Author(s):  
Dzikra Arwie ◽  
Islawati
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Field Of View ◽  
Laboratory Observation ◽  
Number Of Cells

Leukocytes or white blood cells have a characteristic characteristic of different cells. Determination of the impression of the number of leukocytes is determined in the number of cells in the field of view. While the number of viewable field cells expressed is still quite varied. The purpose of this study was to determine the number of leukocytes in the field of view and expressed the impression of a sufficient amount. This research was conducted at the Laboratory of Health Analyst Department Panrita Husada Bulukumba on 9 April 2017 to 14 July 2017. This type of research is a laboratory observation that aims to determine the criteria for assessing the impression of the number of leukocytes on a peripheral blood smear. Data analysis using statistical analysis is the average and standard deviations to determine the impression of the number of leukocytes and use 3 inspection zones. The results of this study obtained results in zone IV the number of leukocyte impressions said to be sufficient was 7-10, in zone V the number of leukocyte impressions said to be sufficient was 4-9, and in zone VI the number of leukocyte impressions said to be sufficient was 3-8.

scholarly journals Nucleated RBCs in umbilical cord blood as marker in cases of fetal asphyxia

2017 ◽  
Vol 5 (1) ◽  
pp. 203
Author(s):  
Ayush Shrivastava ◽  
Jayant Vagha ◽  
Rajendra Borkar
Keyword(s):  
Umbilical Cord ◽  
Blood Cells ◽  
Perinatal Asphyxia ◽  
White Blood Cells ◽  
Birth Asphyxia ◽  
World Health ◽  
Laboratory Evaluation ◽  
Fetal Asphyxia ◽  
Nucleated Red Blood Cells ◽  
Health Organization

Background: World health organization (WHO) has defined perinatal asphyxia as a failure to initiate and sustain breathing at birth. HIE is one of the most common complication in an asphyxiated neonate because of its serious long term neuromotor sequalae among the survivors. Nucleated red blood cells (NRBC) count in umbilical cord of newborns is been suggested as a sign of birth asphyxia. As the present markers are not accurate in diagnosis and assessing the severity of fetal asphyxia, this study was undertaken to find the values of NRBCs in normal and asphyxiated neonates and the correlation of NRBCs with birth asphyxia.Methods: Eighty neonates with asphyxia along with eight healthy newborns were undertaken for two years study period. Maternal and neonatal information was recorded follow by clinical and laboratory evaluation. NRBC levels was determined per 100 white blood cells (WBC). After discharge, immediate follow-up of asphyxiated infants was performed. Neonates were divided into two groups, with favorable and unfavorable outcome based on discharge or death.Results: We observed that NRBC count with more than 10 per 100 WBC/mm3, had sensitivity of 88.75% and specificity of 100% in predicting complications of asphyxia, while in NRBC count with more than 10, the sensitivity and specificity were 88.75% and of 100%, respectively. Conclusions: We demonstrate that NRBC/100 WBC can be used as prognostic marker for neonatal asphyxia, which in combination with the severity of asphyxia could indicate high infant mortality, immediate outcome and complications of asphyxia

scholarly journals Study of Well Waters from High-Level Natural Radiation Areas in Northern Vietnam

2021 ◽  
Vol 18 (2) ◽  
pp. 469
Author(s):  
Van-Hao Duong ◽  
Thanh-Duong Nguyen ◽  
Miklos Hegedus ◽  
Erika Kocsis ◽  
Tibor Kovacs
Keyword(s):  
Natural Radionuclide ◽  
World Health ◽  
Natural Radiation ◽  
Lifetime Cancer Risk ◽  
Northern Vietnam ◽  
Health Organization ◽  
High Level ◽  
Radiological Hazard Indices ◽  
Well Waters

The determination of natural radionuclide concentrations plays an important role for assuring public health and in the estimation of the radiological hazards. This is especially true for high level radiation areas. In this study, 226Ra, 228Ra and 238U concentrations were measured in well waters surrounding eight of the high-level natural radiation areas in northern Vietnam. The 226Ra, 228Ra and 238U activity concentrations vary from <1.2 × 10−3–2.7 (0.46), <2.6 × 10−3–0.43 (0.07) and <38 × 10−3–5.32 Bq/L (0.50 of median), respectively. 226Ra and 238U isotopes in most areas are in equilibrium, except for the DT-Thai Nguyen area. The calculated radiological hazard indices are generally higher than WHO (World Health Organization) recommendations. Average annual effective dose and excess lifetime cancer risk values due to drinking well water range from to 130 to 540 μSv/year and 7.4 × 10−6 to 3.1 × 10−5, respectively.

scholarly journals HCV Detection, Discrimination, and Genotyping Technologies

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3423 ◽  
Author(s):  
Shrikant Warkad ◽  
Satish Nimse ◽  
Keum-Soo Song ◽  
Taisun Kim
Keyword(s):  
Hepatitis C ◽  
Hcv Infection ◽  
World Health ◽  
Clinical Samples ◽  
Infected People ◽  
Advantages And Disadvantages ◽  
Highly Sensitive ◽  
The World ◽  
Health Organization

According to the World Health Organization (WHO), 71 million people were living with Hepatitis C virus (HCV) infection worldwide in 2015. Each year, about 399,000 HCV-infected people succumb to cirrhosis, hepatocellular carcinoma, and liver failure. Therefore, screening of HCV infection with simple, rapid, but highly sensitive and specific methods can help to curb the global burden on HCV healthcare. Apart from the determination of viral load/viral clearance, the identification of specific HCV genotype is also critical for successful treatment of hepatitis C. This critical review focuses on the technologies used for the detection, discrimination, and genotyping of HCV in clinical samples. This article also focuses on advantages and disadvantages of the reported methods used for HCV detection, quantification, and genotyping.

scholarly journals Analysis of Separability of COVID-19 and Pneumonia in Chest X-ray Images by Means of Convolutional Neural Networks

Proceedings ◽  
2020 ◽  
Vol 54 (1) ◽  
pp. 31
Author(s):  
Joaquim de Moura ◽  
Lucía Ramos ◽  
Plácido L. Vidal ◽  
Jorge Novo ◽  
Marcos Ortega
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Clinical Symptoms ◽  
Early Stage ◽  
World Health ◽  
Complete Analysis ◽  
Screening Process ◽  
X Ray ◽  
Chest X Ray ◽  
Health Organization

The new coronavirus (COVID-19) is a disease that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). On 11 March 2020, the coronavirus outbreak has been labelled a global pandemic by the World Health Organization. In this context, chest X-ray imaging has become a remarkably powerful tool for the identification of patients with COVID-19 infections at an early stage when clinical symptoms may be unspecific or sparse. In this work, we propose a complete analysis of separability of COVID-19 and pneumonia in chest X-ray images by means of Convolutional Neural Networks. Satisfactory results were obtained that demonstrated the suitability of the proposed system, improving the efficiency of the medical screening process in the healthcare systems.

scholarly journals Blood Cell Count Using Deep Learning Semantic Segmentation

2019 ◽  
Author(s):  
Thanh Tran ◽  
Lam Binh Minh ◽  
Suk-Hwan Lee ◽  
Ki-Ryong Kwon
Keyword(s):  
Deep Learning ◽  
Blood Cell ◽  
Cell Count ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Semantic Segmentation ◽  
Peripheral Blood Smear ◽  
Cell Counting ◽  
Blood Cell Count

Clinically, knowing the number of red blood cells (RBCs) and white blood cells (WBCs) helps doctors to make the better decision on accurate diagnosis of numerous diseases. The manual cell counting is a very time-consuming and expensive process, and it depends on the experience of specialists. Therefore, a completely automatic method supporting cell counting is a viable solution for clinical laboratories. This paper proposes a novel blood cell counting procedure to address this challenge. The proposed method adopts SegNet - a deep learning semantic segmentation to simultaneously segment RBCs and WBCs. The global accuracy of the segmentation of WBCs, RBCs, and the background of peripheral blood smear images obtains 89% when segment WBCs and RBCs from the background of blood smear images. Moreover, an effective solution to separate grouped or overlapping cells and cell count is presented using Euclidean distance transform, local maxima, and connected component labeling. The counting result of the proposed procedure achieves an accuracy of 93.3% for red blood cell count using dataset 1 and 97.38% for white blood cell count using dataset 2.

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