scholarly journals II. APLASIA OF MARROW AND FATAL INTOXICATION IN DOGS PRODUCED BY ROENTGEN RADIATION OF ALL BONES

1931 ◽  
Vol 53 (3) ◽  
pp. 421-435 ◽  
Author(s):  
Samuel S. Shouse ◽  
Stafford L. Warren ◽  
George H. Whipple
Keyword(s):  
Blood Cells ◽  
White Blood Cells ◽  
Germinal Centers ◽  
Fat Cells ◽  
Red Cell ◽  
Fatal Intoxication ◽  
Blood Smears ◽  
Recent Origin ◽  
Acute Reaction ◽  
Spleen And Lymph Nodes

Constant findings were obtained in the acute reaction to the specified amount of heavily filtered radiation over the bony skeleton. 1. There develops without warning a short and fatal intoxication on the 8th or 9th day after the exposure to the radiation. 2. A profound leucopenia appears after 5 to 6 days and is maintained in the peripheral blood (200 white blood cells or less per c. mm.) for the 2 to 3 days before death. 3. The platelets suddenly disappear from the blood smears the day before death. This has some bearing on the life cycle of the platelet. 4. All of the organs and body structures present extensive and generalized capillary hemorrhage of recent origin. 5. The substance of the spleen and lymph nodes is greatly reduced and the germinal centers are visible only as remnants. 6. The red cell hematocrit reading drops from about 50 per cent or normal to approximately 40 per cent. 7. The bone marrow is depleted of all its cells except the connective tissue and fat cells, blood vessel endothelium, phagocytes filled with brown granules, and occasional normoblasts.

scholarly journals White Blood Cell Image Classification Using Deep Learning

2021 ◽  
Vol 7 (09) ◽  
pp. 7-12
Author(s):  
Neerukattu Indrani and Chiraparapu Srinivasa Rao
Keyword(s):  
Deep Learning ◽  
Blood Cells ◽  
White Blood Cells ◽  
Training Phase ◽  
Counting System ◽  
Cell Image ◽  
Area Of Interest ◽  
Manual Counting ◽  
Blood Smears ◽  
Microscopic Inspection

The microscopic inspection of blood smears provides diagnostic information concerning patients’ health status. For example, the presence of infections, leukemia, and some particular kinds of cancers can be diagnosed based on the results of the classification and the count of white blood cells. The traditional method for the differential blood count is performed by experienced operators. They use a microscope and count the percentage of the occurrence of each type of cell counted within an area of interest in smears. Obviously, this manual counting process is very tedious and slow. In addition, the cell classification and counting accuracy may depend on the capabilities and experiences of the operators. Therefore, the necessity of an automated differential counting system becomes inevitable. In this paper, CNN models are used. In order to achieve good performance from deep learning methods, the network needs to be trained with large amounts of data during the training phase. We take the images of the white blood cells for the training phase and train our model on them. With this method we achieved good accuracy than traditional methods. And we can generate the results within the seconds also.

Circulating white blood cells affect red cell pulmonary transit times in endurance athletes during intense exercise

2002 ◽  
Vol 34 (6) ◽  
pp. 954-959 ◽  
Author(s):  
GERALD S. ZAVORSKY ◽  
STEPHAN F. VAN EEDEN ◽  
KEITH R. WALLEY ◽  
JAMES A. RUSSELL
Keyword(s):  
Blood Cells ◽  
White Blood Cells ◽  
Endurance Athletes ◽  
Red Cell ◽  
Intense Exercise ◽  
Transit Times

scholarly journals A MATLAB model for diagnosing sickle cells and other blood abnormalities using image processing

2021 ◽  
Vol 11 (6) ◽  
pp. 5060
Author(s):  
Mohammed Al-Momin ◽  
Ammar Almomin
Keyword(s):  
Image Processing ◽  
Blood Cells ◽  
White Blood Cells ◽  
Problem Of Time ◽  
Blood Constituents ◽  
Sickle Cells ◽  
Blood Disorder ◽  
Blood Smears ◽  
High Level ◽  
Processing Techniques

<span lang="EN-US">The conventional method for detecting blood abnormality is time consuming and lacks the high level of accuracy. In this paper a MATLAB based solution has been suggested to tackle the problem of time consumption and accuracy. Three types of blood abnormality have been covered here, namely, anemia which is characterized by low count of red blood cells (RBCs), Leukemia which is depicted by increasing the number of white blood cells (WBCs), and sickle cell blood disorder which is caused by a deformation in the shape of red cells. The algorithm has been tested on different images of blood smears and noticed to give an acceptable level of accuracy. Image processing techniques has been used here to detect the different types of blood constituents. Unlike many other researches, this research includes the blood sickling disorder which is epidemic in certain regions of the world, and offers a more accuracy than other algorithms through the use of detaching overlapped cells strategy.</span>

scholarly journals Phosphofructokinase in human blood cells

Blood ◽  
1979 ◽  
Vol 54 (2) ◽  
pp. 389-400
Author(s):  
MC Meienhofer ◽  
JL Lagrange ◽  
D Cottreau ◽  
G Lenoir ◽  
JC Dreyfus ◽  
...  
Keyword(s):  
Blood Cells ◽  
Lymphoblastic Leukemia ◽  
White Blood Cells ◽  
Deae Cellulose ◽  
Lymphocytic Leukemia ◽  
Leukemic Cells ◽  
Polymorphonuclear Cells ◽  
Red Cell ◽  
Barr Virus ◽  
Epstein Barr

The subunit composition of phosphofructokinase from normal and malignant blood cells has been investigated by means of immunologic, electrophoretic, and chromatographic methods. Immunoprecipitation tests were performed with three specific antisera recognizing each of the basic subunits of human phosphofructokinase: muscle, M-type; liver, L- type; and fibroblast, F-type. Mature polymorphonuclear cells contain mainly L-subunits, while lymphocytes and platelets contain hybrids formed of L and F subunits; these hybrids can be electrophoretically separated. Red cell phosphofructokinase is composed of L and M subunits, as judged by its reactivity with anti-L and anti-M-type antisera. The various M-L hybrids composing red cell phosphofructokinase could be only separated by chromatography on DEAE- Cellulose. Lymphocytes from patients with chronic lymphocytic leukemia and lymphoblasts from patients with acute lymphoblastic leukemia contain phosphofructokinase forms similar to those from normal lymphocytes, while the immature granulocytic cells (leukemic myeloblasts and myeloid cells of chronic myeloid leukemia) are characterized by a reinforcement of enzyme inhibition by anti-F-type antiserum. Lymphoid lines in culture (Epstein-Barr virus (EBV)-induced or malignant lymphoma-derived lines) are characterized by the indistinctive expression of all three basic subunits, similar to that found in some fetal tissues. This article represents the first description of the isozymic nature of phosphofructokinase in platelets and white blood cells and of its changes with malignancy and cell culture. This enzyme might represent a useful marker in the characterization of the leukemic cells.

scholarly journals Hematological changes of Anemia`s in Horses of Equestrian club in Baghdad

2012 ◽  
Vol 36 (0A) ◽  
pp. 92-97
Author(s):  
Faisal G. Habasha
Keyword(s):  
Blood Cell ◽  
Sedimentation Rate ◽  
Red Blood Cell ◽  
Packed Cell Volume ◽  
Blood Cells ◽  
White Blood Cells ◽  
Blood Samples ◽  
Erythrocyte Sedimentation ◽  
Blood Smears ◽  
Hematological Changes

This study was conducted to know thehematological changes of anemia in horsesat equestrian club in Baghdad. Blood samples were collected from 151 horses of both sexes(74 male and 77 female) and different agesrandomly. The study includedred blood cells count, white blood cells, hemoglobin, packed cell volume and differential blood smears, togetherwith erythrocyte sedimentation rate readings. The study showed increased white blood cells count mainly neutrophilwith decreased hemoglobinand red blood cell countin addition to erythrocyte sedimentation rate.The blood smears showeddifferent changes of red blood cell.

scholarly journals Haematological findings in healthy and diseased rabbits, a multivariate analysis

1982 ◽  
Vol 16 (2) ◽  
pp. 123-129 ◽  
Author(s):  
M. Hinton ◽  
D. R. E. Jones ◽  
M. F. W. Festing
Keyword(s):  
Blood Cells ◽  
Healthy Adult ◽  
Function Analysis ◽  
White Blood Cells ◽  
Principal Component ◽  
Blood Parameters ◽  
Red Cell ◽  
Total Blood ◽  
Components Analysis

Haematological data from 94 diseased rabbits and 23 healthy adult rabbits were analysed statistically using principal components analysis and multiple discriminant function analysis. The 1st principal component accounted for 32% of the variation and was interpreted as showing total blood cellularity. This was decreased in the majority of diseased rabbits, principally due to anaemia, although in a few it was slightly increased possibly as a result of dehydration. The 2nd principal component (22% of the variation) had high positive loadings on monocyte and heterophil counts and weak negative loadings on the red cell characters. This component was interpreted as the response of the white blood cells to disease. When classification analysis was used to decide whether or not an animal was 'normal' the heterophil and lymphocyte counts alone provided almost as accurate an assessment as when all the blood parameters were taken into account. The role of these analyses in the diagnosis of disease is discussed.

Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears

2017 ◽  
Author(s):  
Golnaz Moallem ◽  
Mahdieh Poostchi ◽  
Hang Yu ◽  
Kamolrat Silamut ◽  
Nila Palaniappan ◽  
...  
Keyword(s):  
Blood Cells ◽  
White Blood Cells ◽  
Blood Smears ◽  
Microscopy Images ◽  
Thin Blood Smears
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