scholarly journals Combined blood cell counting and classification with fluorochrome stains and flow instrumentation.

1976 ◽  
Vol 24 (1) ◽  
pp. 396-401 ◽  
Author(s):  
H M Shapiro ◽  
E R Schildkraut ◽  
R Curbelo ◽  
C W Laird ◽  
B Turner ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Counting ◽  
Disulfonic Acid ◽  
Counting Method ◽  
Cell Counts ◽  
Human Blood Cells ◽  
Manual Counting ◽  
Blood Smears ◽  
White Blood Cell Counts ◽  
Blood Cell Counting

A multiparameter flow cytophotometer was used to count and classify fixed human blood cells fluorochromed with a mixture of ethidium bromide (EB), brilliant sulfaflavine and a blue fluorescent stilbene disulfonic acid derivative (LN). The system measures light scattered by the cells and absorption at 420 nm for all cells. In addition, nuclear EB fluorescence (540 leads to 610 nm) and cytoplasmic fluorescence from LN (366 leads to 470 nm), brilliant sulfaflavine (420 leads to 520 nm) and EB exicted by energy transfer from LN (366 leads to 610 nm) are measured for all nucleated cells. This information is sufficient to perform red and white blood cell counts and to classify leukocytes as lymphocytes, monocytes, basophils, eosinophils or neutrophils. Light scattering and/or nuclear and cytoplasmic fluorescence values may be further analyzed to obtain the ratio of immature to mature neutrophils. Counts produced by the system are in reasonable agreement with those obtained by electronic cells counting and examination of Wright's-stained blood smears; some discrepancies appear to be due to systematic errors in the manual counting method.

Adaptive and automatic red blood cell counting method based on microscopic hyperspectral imaging technology

2017 ◽  
Vol 19 (12) ◽  
pp. 124014 ◽  
Author(s):  
Xi Liu ◽  
Mei Zhou ◽  
Song Qiu ◽  
Li Sun ◽  
Hongying Liu ◽  
...  
Keyword(s):  
Blood Cell ◽  
Hyperspectral Imaging ◽  
Red Blood Cell ◽  
Cell Counting ◽  
Counting Method ◽  
Imaging Technology ◽  
Blood Cell Counting

scholarly journals New inflammatory indicators: association of high eosinophil-to-lymphocyte ratio and low lymphocyte-to-monocyte ratio with smoking

2019 ◽  
Vol 47 (9) ◽  
pp. 4292-4303 ◽  
Author(s):  
Yusuf Çekici ◽  
Mücahid Yılmaz ◽  
Özlem Seçen
Keyword(s):  
Blood Cell ◽  
Systemic Inflammation ◽  
Healthy Subjects ◽  
Preventive Treatment ◽  
Blood Analysis ◽  
Cell Counting ◽  
Lymphocyte Ratio ◽  
Lymphocyte To Monocyte Ratio ◽  
Cell Counts ◽  
White Blood Cell Counts

Objective Smoking has been proven to increase systemic inflammation in previous studies using different biomarkers. The eosinophil-to-lymphocyte ratio (ELR), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR) are new indicators of systemic inflammation that are used as predictors of systemic inflammation, morbidity, and mortality associated with many diseases. We investigated the effects of smoking on these inflammatory indicators. Methods In total, 616 consecutive smoking healthy subjects and 387 age-matched nonsmoking healthy subjects were enrolled. White blood cell counts (neutrophils, lymphocytes, basophils, eosinophils, and monocytes) were determined by electrical impedance with an automatic blood cell counting device. The ELR, LMR, and NLR were calculated based on these cell counts. Smoking habits of participants were calculated as pack/year. Results The NLR and ELR were significantly higher and the LMR was significantly lower in smokers than nonsmokers. The pack-years were positively correlated with the NLR and ELR and negatively correlated with the LMR. Conclusion A high NLR and ELR and low LMR are associated with cigarette smoking and may be useful indicators of systemic inflammation activity, even in healthy smokers. Smokers with a high NLR and ELR and low LMR can easily be identified during routine blood analysis and might benefit from preventive treatment.

scholarly journals Microfluidic Cartridges for Automated, Point-of-Care Blood Cell Counting

2016 ◽  
Vol 22 (2) ◽  
pp. 176-185
Author(s):  
Suzanne Smith ◽  
Phophi Madzivhandila ◽  
René Sewart ◽  
Ureshnie Govender ◽  
Holger Becker ◽  
...  
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Blood Count ◽  
Point Of Care ◽  
Cell Counting ◽  
Full Blood Count ◽  
Diagnostic Tools ◽  
Cell Counts ◽  
Blood Cell Counting

Disposable, low-cost microfluidic cartridges for automated blood cell counting applications are presented in this article. The need for point-of-care medical diagnostic tools is evident, particularly in low-resource and rural settings, and a full blood count is often the first step in patient diagnosis. Total white and red blood cell counts have been implemented toward a full blood count, using microfluidic cartridges with automated sample introduction and processing steps for visual microscopy cell counting to be performed. The functional steps within the microfluidic cartridge as well as the surrounding instrumentation required to control and test the cartridges in an automated fashion are described. The results recorded from 10 white blood cell and 10 red blood cell counting cartridges are presented and compare well with the results obtained from the accepted gold-standard flow cytometry method performed at pathology laboratories. Comparisons were also made using manual methods of blood cell counting using a hemocytometer, as well as a commercially available point-of-care white blood cell counting system. The functionality of the blood cell counting microfluidic cartridges can be extended to platelet counting and potential hemoglobin analysis, toward the implementation of an automated, point-of-care full blood count.

scholarly journals PERFORMANCE EVALUATION OF NUCLEATED RED BLOOD CELL (NRBC) COUNT USING A FULLY AUTOMATED HAEMATOLOGY ANALYZER VERSUS MANUAL COUNTING

2021 ◽  
Vol 71 (5) ◽  
pp. 1806-10
Author(s):  
Tanweer Ahmed ◽  
Asad Mahmood ◽  
Nasir Uddin ◽  
Helen Mary Robert ◽  
Muhammad Ashraf ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cells ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Linear Regression Analysis ◽  
Cell Counting ◽  
Nucleated Red Blood Cells ◽  
Manual Counting ◽  
Blood Cell Counting ◽  
Nucleated Red Blood Cell

Objective: To evaluate the performance of Nucleated RBC (NRBC) Count using a fully automated haematology analyzer versus manual counting. Study Design: Cross-Sectional Study. Place and Duration of Study: Department of Hematology, Armed Forces Institute of Pathology, from Sep 2019-Jun 2020. Methodology: Routine fresh whole blood samples were run on Sysmex XN-3000 automated haematology analyzer and 384 samples with results of ≥0.1% Nucleated red blood cells were included in this study. Manual NRBC counting was carried out twice on Leishman-stained peripheral blood smears from all 384 samples. Comparison between manual and automated nucleated red blood cell counting methods was statistically analyzed through linear regression analysis & coefficient correlation. The degree of agreement between two methods was analyzed through Bland-Altman plot. Finally, concordance between the two methods was also analyzed at 5 different ranges of nucleated red blood cells. Results: Linear regression analysis revealed a (r2) value of 0.97. Regression equation was calculated as XN = 0.76MC ± 1.28, with 95% limits of agreement between ± 40.42% and -24.47%. A mean bias of 7.97% was demonstrated through Bland-Altman plot. Concordance analysis revealed a concordance rate of 93.74% (360/384). Nucleated red blood cell counting between two methods were more concordant when nucleated red blood cell counts were <200%. Conclusion: Nucleated red blood cells counting by XN-3000 automated hematology analyzer is statistically comparable to manual nucleated red blood cell counting. We suggest that automated counting can be adopted in routine hematology laboratory as a replacement of manual NRBC counting.

scholarly journals Automatic counting method for complex overlapping erythrocytes based on seed prediction in microscopic imaging

2016 ◽  
Vol 09 (05) ◽  
pp. 1650016 ◽  
Author(s):  
Xudong Wei ◽  
Yiping Cao
Keyword(s):  
Blood Cell ◽  
Edge Detection ◽  
Automatic Segmentation ◽  
Cell Counting ◽  
Counting Method ◽  
Medical Test ◽  
Microscopic Imaging ◽  
Automatic Counting ◽  
Average Accuracy ◽  
Blood Cell Counting

Blood cell counting is an important medical test to help medical staffs diagnose various symptoms and diseases. An automatic segmentation of complex overlapping erythrocytes based on seed prediction in microscopic imaging is proposed. The four main innovations of this research are as follows: (1) Regions of erythrocytes extracted rapidly and accurately based on the G component. (2) K-means algorithm is applied on edge detection of overlapping erythrocytes. (3) Traces of erythrocytes’ biconcave shape are utilized to predict erythrocyte’s position in overlapping clusters. (4) A new automatic counting method which aims at complex overlapping erythrocytes is presented. The experimental results show that the proposed method is efficient and accurate with very little running time. The average accuracy of the proposed method reaches 97.0%.

scholarly journals Relative white blood cell counts, heterophil-to-lymphocyte ratio, and discovery of blood parasites in wild dugong (Dugong dugon) at Lingayan Island, Toli-toli, Indonesia

2020 ◽  
Vol 13 (9) ◽  
pp. 1849-1853
Author(s):  
Aryani Sismin Satyaningtijas ◽  
Agik Suprayogi ◽  
Huda Shalahudin Darusman ◽  
Ardiansyah Nurdin ◽  
Desrayni Hanadhita
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Blood Parasites ◽  
Natural Habitats ◽  
Blood Samples ◽  
Physiological Conditions ◽  
Cell Counts ◽  
Blood Smears ◽  
White Blood Cell Counts ◽  
Free Ranging

Aim: This study was conducted to investigate the relative white blood cell (WBC) counts and the heterophil-to-lymphocyte (H/L) ratio and to analyze the presence of blood parasites in wild dugongs at Lingayan Island. It is expected that the results of this study could provide additional knowledge about the physiological conditions of wild dugongs in their natural habitats, which can serve as basic data in dugong conservation efforts, especially in Indonesia. Materials and Methods: A wild dugong was captured around Lingayan Island. Blood samples were collected from the saphenous vein, and blood smears were prepared immediately. The blood smears were examined for leukocyte identification, calculation of relative WBC counts, and presence of blood parasites. The H/L ratio was calculated based on the obtained relative WBC counts. Results: The relative WBC counts included heterophils 19.4%, lymphocytes 76.4%, and monocytes 3.6%, and the H/L ratio was 0.25. Intraerythrocytic parasites were identified and suspected to be Anaplasma and Babesia. Conclusion: This study reports leukocyte values from free-ranging dugongs captured in Lingayan Island, Indonesia. Based on the H/L ratio, the dugong examined, in this study, did not experience chronic stress. However, the discovery of blood parasites could be one of the threatening factors for the dugong population.

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