Development of a robust algorithm for detection of nuclei of white blood cells in peripheral blood smear images

2019 ◽  
Vol 78 (13) ◽  
pp. 17879-17898 ◽  
Author(s):  
Roopa B. Hegde ◽  
Keerthana Prasad ◽  
Harishchandra Hebbar ◽  
Brij Mohan Kumar Singh
Keyword(s):  
Peripheral Blood ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Robust Algorithm

scholarly journals Acquired Pelger-Huët anomaly in a patient treated with valganciclovir

2019 ◽  
Vol 12 (10) ◽  
pp. e230958 ◽  
Author(s):  
Elva Nieto-Borrajo ◽  
Alfredo Bermejo-Rodriguez
Keyword(s):  
Peripheral Blood ◽  
Blood Cells ◽  
Blood Count ◽  
Blood Smear ◽  
Complete Blood Count ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Condensed Chromatin ◽  
Morphological Abnormalities

A follow-up blood count was performed on a 74-year-old woman diagnosed with colitis due to cytomegalovirus and under treatment with valganciclovir. The automated complete blood count revealed an abnormal white blood cells (WBC) scattergram together with WBC alert flags. The peripheral blood smear showed neutrophils with markedly hyposegmented nuclei or bilobed nuclei and very condensed chromatin or clumping chromatin all consistent with Pelger-Huët anomaly (PHA). We checked previous blood counts, ruling out an inherited PHA. We assessed the haematological, infectious and iatrogenic aetiologies for an acquired PHA. Once the valganciclovir treatment was completed and the drug was withdrawn, without changing the rest of the treatment, the morphological abnormalities of neutrophils were completely resolved. We conclude therefore that the acquired PHA presented by our patient is probably related to valganciclovir treatment.

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.  

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.

Convex Hull Based Detection of Overlapping Red Blood Cells in Peripheral Blood Smear Images

2015 ◽  
pp. 51-53 ◽  
Author(s):  
Feminna Sheeba ◽  
Robinson Thamburaj ◽  
Joy John Mammen ◽  
Mohan Kumar ◽  
Vansant Rangslang
Keyword(s):  
Convex Hull ◽  
Red Blood Cells ◽  
Peripheral Blood ◽  
Blood Cells ◽  
Blood Smear ◽  
Peripheral Blood Smear

scholarly journals Extraction of Nucleolus Candidate Zone in White Blood Cells of Peripheral Blood Smear Images Using Curvelet Transform

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Ramin Soltanzadeh ◽  
Hossein Rabbani ◽  
Ardeshir Talebi
Keyword(s):  
Blood Cells ◽  
Main Part ◽  
Blood Smear ◽  
Active Form ◽  
White Blood Cells ◽  
Curvelet Transform ◽  
Peripheral Blood Smear ◽  
Important Symptom ◽  
Blast Cells ◽  
Giant Nuclei

The main part of each white blood cell (WBC) is its nucleus which contains chromosomes. Although white blood cells (WBCs) with giant nuclei are the main symptom of leukemia, they are not sufficient to prove this disease and other symptoms must be investigated. For example another important symptom of leukemia is the existence of nucleolus in nucleus. The nucleus contains chromatin and a structure called the nucleolus. Chromatin is DNA in its active form while nucleolus is composed of protein and RNA, which are usually inactive. In this paper, to diagnose this symptom and in order to discriminate between nucleoli and chromatins, we employ curvelet transform, which is a multiresolution transform for detecting 2D singularities in images. For this reason, at first nuclei are extracted by means ofK-means method, then curvelet transform is applied on extracted nuclei and the coefficients are modified, and finally reconstructed image is used to extract the candidate locations of chromatins and nucleoli. This method is applied on 100 microscopic images and succeeds with specificity of 80.2% and sensitivity of 84.3% to detect the nucleolus candidate zone. After nucleolus candidate zone detection, new features that can be used to classify atypical and blast cells such as gradient of saturation channel are extracted.

Morphological Changes of Red Blood Cells in Peripheral Blood Smear of Patients with Pregnancy-related Hypertensive Disorders

2015 ◽  
Vol 46 (6) ◽  
pp. 479-483 ◽  
Author(s):  
Jorge Daniel Hernández Hernández ◽  
Onésimo Rangel Villaseñor ◽  
Javier Del Rio Alvarado ◽  
Roberto Ortega Lucach ◽  
Arturo Zárate ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Peripheral Blood ◽  
Blood Cells ◽  
Blood Smear ◽  
Morphological Changes ◽  
Peripheral Blood Smear ◽  
Hypertensive Disorders

scholarly journals Dehydrated Hereditary Stomatocytosis: A Rare Inherited Hemolytic Anemia

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4148-4148
Author(s):  
Farah Shaukat ◽  
Zeba Singh ◽  
Hira Latif
Keyword(s):  
Iron Overload ◽  
Red Blood Cells ◽  
Hemolytic Anemia ◽  
Peripheral Blood ◽  
Blood Cells ◽  
Blood Smear ◽  
Peripheral Blood Smear ◽  
Blood Transfusions ◽  
Erythroid Progenitor ◽  
Distribution Width

Abstract Background: Dehydrated hereditary stomatocytosis (DHSt), also known as hereditary xerocytosis, is a rare congenital hemolytic anemia with an autosomal dominant inheritance. It is often misdiagnosed for other hemolytic conditions, such as hereditary spherocytosis. Herein, we present the case of a young female presenting with hemolytic anemia, who was found to have a mutation in PIEZO1 gene and was subsequently diagnosed with DHSt. Case Presentation: A 39-year-old woman of Asian origin presented to the hematology clinic for evaluation of anemia diagnosed on blood work performed by primary care physician for symptoms of fatigue. She was adopted and had no information about her family history. A complete blood count revealed: hemoglobin 8.2 g/dL, mean corpuscular volume (MCV) 121.6 fL, absolute retic counts 0.08 M/mcL, lactate dehydrogenase 851 units/L and a negative coombs test. Iron profile revealed iron saturation 85% and ferritin 1961.4 ng/mL (see table 1 for laboratory work up). The peripheral blood smear showed anisopoikilocytosis, macrocytes, spherocytes and several stomatocytes along with polychromatophils. An ultrasound of the abdomen was subsequently performed, and which revealed hepatomegaly and biliary stones. Enzyme assay for glucose-6-phosphate dehydrogenase and flow cytometry for paroxysmal nocturnal hemoglobinuria were also sent and were negative. Red blood cells osmotic fragility was decreased. The bone marrow biopsy showed full spectrum trilineage hematopoiesis with no mutations on molecular testing. Based on the blood smear and clinical presentation, a diagnosis of DHSt was suspected. Genetic testing was performed and which revealed Sc.2842C>T; p.Arg948Cys mutation in the PIEZO1 gene by massively parallel sequencing and confirmation by Sanger sequencing. This confirmed the diagnosis of DHSt. Patient was started on high dose folic acid with improvement in her hemoglobin in one month. She did not require any blood transfusions. MRI liver T2* scan measured quantitative liver iron of 31 mM/g, which was at the high normal range. Discussion: DHSt is caused by gain of function mutation in PIEZO1 gene or KCCN4 gene which encode the transmembrane cation ion channel and Gardo's channel respectively on red blood cell membrane. This results in delayed inactivation of the channel. The disease presents as a spectrum from asymptomatic anemia to massive hemolysis, and many patients present later in life. Patients may manifest clinical signs of jaundice, pallor, fatigue, splenomegaly, gallstones and iron overload. Labs are typically significant for elevation in mean corpuscular hemoglobin concentration (MCHC), red cell distribution width (RDW) and MCV, with classic slit cells red blood cells seen on peripheral blood smear (see image 1). PIEZO1 is expressed early in erythroid progenitor cells and may delay erythroid differentiation and reticulocyte maturation, which may be the cause of low reticulocyte count such as in our patient. While treatment is supportive with blood transfusions, only a minority of DHSt patients ever require regular transfusions. Interestingly, hyperferritinemia, high transferrin saturation or clinical iron overload are quite frequent in DHSt and iron chelation is recommended. Splenectomy is contraindicated due to increased risk of thrombosis. Conclusions: DHSt as a rare inherited hemolytic anemia and its diagnosis warrants maintaining a high index of clinical suspicion based on supportive laboratory findings. Diagnosis involves thorough testing earlier in the disease as patients may be asymptomatic until adulthood. Delaying the diagnosis may lead to severe iron overload and consequent organ damage. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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.

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