scholarly journals Red blood cell classification on thin blood smear images for malaria diagnosis

2020 ◽  
Vol 1444 ◽  
pp. 012036 ◽  
Author(s):  
Budi Sunarko ◽  
Djuniadi ◽  
Murk Bottema ◽  
Nur Iksan ◽  
Khakim A N Hudaya ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Smear ◽  
Malaria Diagnosis ◽  
Thin Blood Smear ◽  
Cell Classification

scholarly journals Computer Aided System for Red Blood Cell Classification in Blood Smear Image

2014 ◽  
Vol 42 ◽  
pp. 206-213 ◽  
Author(s):  
Razali Tomari ◽  
Wan Nurshazwani Wan Zakaria ◽  
Muhammad Mahadi Abdul Jamil ◽  
Faridah Mohd Nor ◽  
Nik Farhan Nik Fuad
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Smear ◽  
Cell Classification ◽  
Computer Aided ◽  
Blood Smear Image

scholarly journals Red blood cell classification in lensless single random phase encoding using convolutional neural networks

2020 ◽  
Vol 28 (22) ◽  
pp. 33504 ◽  
Author(s):  
Timothy O’Connor ◽  
Christopher Hawxhurst ◽  
Leslie M. Shor ◽  
Bahram Javidi
Keyword(s):  
Neural Networks ◽  
Blood Cell ◽  
Convolutional Neural Networks ◽  
Red Blood Cell ◽  
Random Phase ◽  
Cell Classification ◽  
Phase Encoding ◽  
Random Phase Encoding

scholarly journals COLOR INFORMATION IN BLOOD CELLS

1974 ◽  
Vol 22 (7) ◽  
pp. 517-521 ◽  
Author(s):  
GEORGE C. CHENG
Keyword(s):  
Blood Cell ◽  
Prior Knowledge ◽  
Light Source ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Blood Smear ◽  
Giemsa Stain ◽  
Color Information ◽  
Color Spectrum ◽  
Reference Samples

Two hundred color spectra of blood cells treated with Wright-Giemsa stain were measured by using an Olympus microspectrophotometer. The wavelength of the light source was varied from 400 to 700 nm. Several basic pictorial regions in the blood smear were investigated. These regions included the background, basophil, eosinophil, neutrophil, lymphocyte, monocyte and the red blood cell. A subset of the color spectrum curves was used as references. The remaining spectrum curves were used as testing samples and were shown to individuals who had no prior knowledge of leukocyte color information. All of the persons tested could correctly identify the testing samples with the reference samples. This experiment showed that color information in blood cells is not only useful but also sufficient for leukocyte differentiation for the samples that have been investigated.

scholarly journals Hematological and biochemical profile of person with macrocytic anemia in a tertiary health care centre of Nepal

2020 ◽  
Vol 10 (2) ◽  
pp. 1722-1727
Author(s):  
Rakesh Pathak ◽  
Sujata Pudasaini ◽  
Sushmita Ghimire ◽  
Anil Singh Basnyat ◽  
Anuj KC
Keyword(s):  
Folic Acid ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Peripheral Blood ◽  
Blood Smear ◽  
Hematological Parameters ◽  
Macrocytic Anemia ◽  
Peripheral Blood Smear ◽  
Blood Smear Examination ◽  
Red Blood Cell Indices

Background: Anemia is a nutritional problem worldwide with an increased risk of morbidity and mortality in all age groups. Macrocytic anemia often originates from abnormalities that impair the erythroid precursor maturation in the bone marrow. Since the clinical manifestations of different types of anemias are similar, hematological parameters including hemoglobin, Red blood cell indices, and Peripheral Blood Smear examination are useful in the diagnosis of anemia. Materials and Methods: This was a cross-sectional study done in the Department of Pathology at Nepal Medical College Teaching hospital. A total of 42 patients between 14 to 62 years with low Hb concentration according to the World Health Organization criteria for anemia were selected and a mean cell volume > 100 fL was taken for study. Peripheral blood smear examination, Red blood cell indices, Vitamin B12, and Folic acid level were evaluated. Results: There were 42 patients with macrocytic anemia enrolled in the study with a mean age of 31.85±12.49 years and with female preponderance. Hemoglobin level was slightly low in males compared to females. Red blood cell indices were slightly higher in males. The difference of serum Vit B12 and Folic acid in male and female was found to be significant. Conclusions: It was concluded that for the diagnosis of a specific type of anemia, hemoglobin, Red blood cell indices, reticulocytes percent, and PBS examination were important parameters. Serum Folic acid and Vitamin B12 level estimation along with other hematological parameters are important for the diagnosis of macrocytic anemia and its correlation

scholarly journals Red Blood Cell Classification Based on Attention Residual Feature Pyramid Network

2021 ◽  
Vol 8 ◽  
Author(s):  
Weiqing Song ◽  
Pu Huang ◽  
Jing Wang ◽  
Yajuan Shen ◽  
Jian Zhang ◽  
...  
Keyword(s):  
Blood Cell ◽  
Spatial Attention ◽  
Red Blood Cell ◽  
Classification Accuracy ◽  
Cell Types ◽  
Attention Mechanism ◽  
Cell Classification ◽  
Tumor Diseases ◽  
Cell Image ◽  
Feature Pyramid

Clinically, red blood cell abnormalities are closely related to tumor diseases, red blood cell diseases, internal medicine, and other diseases. Red blood cell classification is the key to detecting red blood cell abnormalities. Traditional red blood cell classification is done manually by doctors, which requires a lot of manpower produces subjective results. This paper proposes an Attention-based Residual Feature Pyramid Network (ARFPN) to classify 14 types of red blood cells to assist the diagnosis of related diseases. The model performs classification directly on the entire red blood cell image. Meanwhile, a spatial attention mechanism and channel attention mechanism are combined with residual units to improve the expression of category-related features and achieve accurate extraction of features. Besides, the RoI align method is used to reduce the loss of spatial symmetry and improve classification accuracy. Five hundred and eighty eight red blood cell images are used to train and verify the effectiveness of the proposed method. The Channel Attention Residual Feature Pyramid Network (C-ARFPN) model achieves an mAP of 86%; the Channel and Spatial Attention Residual Feature Pyramid Network (CS-ARFPN) model achieves an mAP of 86.9%. The experimental results indicate that our method can classify more red blood cell types and better adapt to the needs of doctors, thus reducing the doctor's time and improving the diagnosis efficiency.

Flagging performance of Sysmex XN-10 haematology analyser for malaria detection

2020 ◽  
Vol 73 (10) ◽  
pp. 676-677
Author(s):  
Cécile Dumas ◽  
Pauline Tirard-Collet ◽  
Fanélie Mestrallet ◽  
Sandrine Girard ◽  
Laurent Jallades ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Smear ◽  
Rapid Review ◽  
Predictive Values ◽  
Blood Samples ◽  
Haematology Analyser ◽  
Sensitivity Specificity ◽  
Low Prevalence

AimThe aim was to assess the flagging performance of Sysmex XN-10 haematology analyser for malaria detection through the parasitic red blood cell (‘pRBC’) alarm.MethodsWe retrospectively studied 584 blood samples performed on the Sysmex XN-10 analyser that were tested for malaria. Sensitivity, specificity, positive and negative predictive values, and prevalence were established for the pRBC alarm.ResultsSensitivity, specificity, and positive and negative predictive values for the pRBC flag were 7.8%, 100%, 100% and 87.7%, respectively. The prevalence of pRBC flag of 0.026% in the overall population was significantly different from the prevalence of 1.027% in the population tested for malaria.ConclusionsConsidering the excellent specificity and the low prevalence of the flag in the overall population, we suggest, in case of the presence of pRBC flag, the implementation of a rapid review of the blood smear looking for Plasmodium, mostly if the patient had fever and had not been tested for malaria.

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