scholarly journals Image processing for automated erythrocyte classification.

1976 ◽  
Vol 24 (1) ◽  
pp. 195-201 ◽  
Author(s):  
J W Bacus ◽  
M G Belanger ◽  
R K Aggarwal ◽  
F E Trobaugh
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Digital Image Processing ◽  
Red Cells ◽  
Target Cells ◽  
Gray Level ◽  
Red Cell ◽  
Pattern Recognition Techniques ◽  
Sickle Cells ◽  
Central Gray

Digital image processing and pattern recognition techniques were applied to determine the feasibility of a natural n-space subgrouping of normal and abnormal peripheral blood erythrocytes into well separated categories. The data consisted of 325 digitized red cells from 11 different cell classes. The analysis resulted in five features: (a) size, (b) roundness, (c) spicularity, (d) eccentricity and (e) central gray level distribution. These features separated the data into six distinct condensed subgroups of red cells. Each subgroup consisted of morphologically similar cells: (a) macrocytes, (b) normocytes, (c) schistocytes, acanthocytes and burr cells, (d) microcytes and spherocytes, (e) elliptocytes, sickle cells and pencil forms and (f) target cells. The concept of a quantitative "red cell differential" was introduced, utilizing these subgroup definitions to establish subpopulations of red cells, with quantifiable indices for the diagnosis of anemia, at the specimen level.

Digital image processing and pattern recognition techniques for the detection of cancer

2009 ◽  
Vol 42 (6) ◽  
pp. 1015-1016 ◽  
Author(s):  
Jinshan Tang ◽  
Raj Rangayyan ◽  
Jianhua Yao ◽  
Yongyi Yang
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Digital Image Processing ◽  
Digital Image ◽  
Pattern Recognition Techniques

Micro-Flow-Cytometer Integrated witch Optical Tweezer and DIP Technique for Cell/Particle Sorting and Manipulation

2007 ◽  
Vol 121-123 ◽  
pp. 1351-1354
Author(s):  
Yu Sheng Chien ◽  
Che Hsin Lin ◽  
Fu Jen Kao ◽  
Cheng Wen Ko
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Performance ◽  
Optical Tweezer ◽  
Processing Technique ◽  
Microfluidic System ◽  
Image Processing Technique ◽  
Target Cells ◽  
Digital Image Processing Technique

This paper proposes a novel microfluidic system for cell/microparticle recognition and manipulation utilizing digital image processing technique (DIP) and optical tweezer under microfluidic configuration. Digital image processing technique is used to count and recognize the cell/particle samples and then sends a control signal to generate a laser pulse to manipulate the target cell/particle optically. The optical tweezer system is capable of catching, moving and switching the target cells at the downstream of the microchannel. The trapping force of the optical tweezer is also demonstrated utilizing Stocks-drag method and electroosmotic flow. The proposed system provides a simple but high-performance solution for microparticle manipulation in a microfluidic device.

scholarly journals Modified KNN-LVQ for Stairs Down Detection Based on Digital Image

2021 ◽  
Vol 12 (3) ◽  
pp. 141
Author(s):  
Ahmad Wali Satria Bahari Johan ◽  
Sekar Widyasari Putri ◽  
Granita Hajar ◽  
Ardian Yusuf Wicaksono
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Hybrid Method ◽  
Visually Impaired ◽  
Blind People ◽  
Gray Level ◽  
Computational Speed ◽  
Occurrence Matrix ◽  
Computing Speed

Persons with visual impairments need a tool that can detect obstacles around them. The obstacles that exist can endanger their activities. The obstacle that is quite dangerous for the visually impaired is the stairs down. The stairs down can cause accidents for blind people if they are not aware of their existence. Therefore we need a system that can identify the presence of stairs down. This study uses digital image processing technology in recognizing the stairs down. Digital images are used as input objects which will be extracted using the Gray Level Co-occurrence Matrix method and then classified using the KNN-LVQ hybrid method. The proposed algorithm is tested to determine the accuracy and computational speed obtained. Hybrid KNN-LVQ gets an accuracy of 95%. While the average computing speed obtained is 0.07248 (s).

scholarly journals Neutrophils mediate lipid peroxidation in human red cells

Blood ◽  
1984 ◽  
Vol 64 (5) ◽  
pp. 1079-1084 ◽  
Author(s):  
S Claster ◽  
DT Chiu ◽  
A Quintanilha ◽  
B Lubin
Keyword(s):  
Lipid Peroxidation ◽  
Red Cells ◽  
Red Cell ◽  
Normal Cells ◽  
Sickle Cells ◽  
Induce Lipid Peroxidation ◽  
Activated Neutrophils ◽  
Glucose 6 Phosphate Dehydrogenase ◽  
Human Red Cells

Abstract Activated neutrophils (ANs) are known to release reactive oxygen species that may cause oxidative damage to surrounding tissues. We determined if ANs could induce lipid peroxidation (LP) in human red cells and investigated the mechanism involved in this interaction. We studied neonatal glucose-6-phosphate dehydrogenase (G6PD) deficient, and sickle red cells, since each of these are known to be susceptible to oxidant injury. Neutrophils were isolated from whole blood and activated by incubation with opsonized zymosan. Mixtures of such neutrophils and red cells at a ratio of 1:100 were incubated for two hours at 37 degrees C, after which the malonyldialdehyde content in red cells was measured as an index of LP. All red cells underwent LP after AN treatment, and the degree of LP was proportional to the amount of AN in the mixture. Superoxide dismutase and catalase partially inhibited LP. When compared to normal red cells, only sickle cells demonstrated a significant increase in AN-mediated LP. Conversion of hemoglobin to carboxy-hemoglobin increased AN-mediated LP, whereas conversion to met- hemoglobin decreased AN-mediated LP. The protective effect of met- hemoglobin on LP was less in sickle cells than in normal cells. We conclude that AN can induce LP in red cells in vitro and that sickle cells are more susceptible to this process than normal cells. Hemoglobin can serve as an electron trap and protect the cell against peroxidative damage, but this mechanism is impaired in sickle cells. We speculate that the pathogenesis of hemolysis associated with infectious disease may include AN-induced red cell LP.

scholarly journals Pattern Recognition through Dip for Wind Turbine

2020 ◽  
Vol 9 (6) ◽  
pp. 448-450
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Wind Turbine ◽  
Digital Image Processing ◽  
Video Stream ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Test Items ◽  
Digital Image Processing Technique ◽  
Proposed Model

This paper depicts the realization of DIP (Digital Image Processing) technique for pattern recognition to identify objects in video stream. The proposed model compares the test object with standard model and identifies the missing objects in the test item. The model uses image classifier algorithm as a tool. The simulations are carried out in MATLab Simulink and various test items are compared under different morphological conditions. The model is fabricated to analyze and indicate the omitted components in wind turbine.

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