Red blood cell and white blood cell separation using a lateral-dimension scalable microchip based on hydraulic jump and sedimentation

2020 ◽  
Vol 307 ◽  
pp. 127412
Author(s):  
Hamidreza Shirinkami ◽  
Gaobo Wang ◽  
Jinhyeok Park ◽  
Joonhyang Ahn ◽  
Yeonho Choi ◽  
...  
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Cell Separation ◽  
Hydraulic Jump ◽  
Lateral Dimension

Development and study of a method for cell separation during white blood cell segmentation on images of bone marrow preparations in information and measurement systems for diagnostics of acute leukemia

2020 ◽  
pp. 68-72
Author(s):  
V.G. Nikitaev ◽  
A.N. Pronichev ◽  
V.V. Dmitrieva ◽  
E.V. Polyakov ◽  
A.D. Samsonova ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
Acute Leukemia ◽  
White Blood Cell ◽  
Cell Separation ◽  
Large Scale ◽  
Bone Marrow Cells ◽  
Automated Analysis ◽  
Cell Segmentation ◽  
Measurement Systems

The issues of using of information and measurement systems based on processing of digital images of microscopic preparations for solving large-scale tasks of automating the diagnosis of acute leukemia are considered. The high density of leukocyte cells in the preparation (hypercellularity) is a feature of microscopic images of bone marrow preparations. It causes the proximity of cells to eachother and their contact with the formation of conglomerates. Measuring of the characteristics of bone marrow cells in such conditions leads to unacceptable errors (more than 50%). The work is devoted to segmentation of contiguous cells in images of bone marrow preparations. A method of cell separation during white blood cell segmentation on images of bone marrow preparations under conditions of hypercellularity of the preparation has been developed. The peculiarity of the proposed method is the use of an approach to segmentation of cell images based on the watershed method with markers. Key stages of the method: the formation of initial markers and builds the lines of watershed, a threshold binarization, shading inside the outline. The parameters of the separation of contiguous cells are determined. The experiment confirmed the effectiveness of the proposed method. The relative segmentation error was 5 %. The use of the proposed method in information and measurement systems of computer microscopy for automated analysis of bone marrow preparations will help to improve the accuracy of diagnosis of acute leukemia.

scholarly journals Reference intervals for hematology test parameters from apparently healthy individuals in southwest Ethiopia

2018 ◽  
Vol 6 ◽  
pp. 205031211880762 ◽  
Author(s):  
Lealem Gedefaw Bimerew ◽  
Tesfaye Demie ◽  
Kaleab Eskinder ◽  
Aklilu Getachew ◽  
Shiferaw Bekele ◽  
...  
Keyword(s):  
Platelet Count ◽  
Blood Cell ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Hematological Parameters ◽  
Age Groups ◽  
Reference Interval ◽  
Reference Intervals ◽  
Southwest Ethiopia ◽  
Apparently Healthy

Background: Clinical laboratory reference intervals are an important tool to identify abnormal laboratory test results. The generating of hematological parameters reference intervals for local population is very crucial to improve quality of health care, which otherwise may lead to unnecessary expenditure or denying care for the needy. There are no well-established reference intervals for hematological parameters in southwest Ethiopia. Objective: To generate hematological parameters reference intervals for apparently healthy individuals in southwest Ethiopia. Methods: A community-based cross-sectional study was conducted involving 883 individuals from March to May 2017. Four milliliter of blood sample was collected and transported to Jimma University Medical Center Laboratory for hematological analysis and screening tests. A hematological parameters were measured by Sysmex XS-500i hematology analyzer (Sysmex Corporation Kobe, Japan). The data were analyzed by SPSS version 20 statistical software. The non-parametric independent Kruskal–Wallis test and Wilcoxon rank-sum test (Mann–Whitney U test) were used to compare the parameters between age groups and genders. The 97.5 percentile and 2.5 percentile were the upper and lower reference limit for the population. Results: The reference interval of red blood cell, white blood cell, and platelet count in children were 4.99 × 1012/L (4.26–5.99 × 1012/L), 7.04 × 109/L (4.00–11.67 × 109/L), and 324.00 × 109/L (188.00–463.50 × 109/L), respectively. The reference interval of red blood cell, white blood cell, and platelet count in adults was 5.19 × 1012/L (4.08–6.33 × 1012/L), 6.35 × 109/L (3.28–11.22 × 109/L), and 282.00 × 109/L (172.50–415.25 × 109/L), respectively. The reference interval of red blood cell, white blood cell, and platelet count in geriatrics were 5.02 × 1012/L (4.21–5.87 × 1012/L), 6.21 × 109/L (3.33–10.03 × 109/L), and 265.50 × 109/L (165.53–418.80 × 109/L), respectively. Most of the hematological parameters showed significant differences across all age groups. Conclusion: Most of the hematological parameters in this study showed differences from similar studies done in the country. This study provided population-specific hematological reference interval for southwest Ethiopians. Reference intervals should also be established in the other regions of the country.

Donor white blood cell survival and cytokine profiles following red blood cell transfusion in Australian major trauma patients

2018 ◽  
Vol 103 ◽  
pp. 229-234 ◽  
Author(s):  
Rena Hirani ◽  
Melinda M. Dean ◽  
Zsolt J. Balogh ◽  
Natalie J. Lott ◽  
Julie Seggie ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Survival ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Major Trauma ◽  
Red Blood Cell Transfusion ◽  
Trauma Patients ◽  
Cytokine Profiles

Performance of automated digital cell imaging analyzer Sysmex DI-60

2017 ◽  
Vol 56 (1) ◽  
Author(s):  
Hyeong Nyeon Kim ◽  
Mina Hur ◽  
Hanah Kim ◽  
Seung Wan Kim ◽  
Hee-Won Moon ◽  
...  
Keyword(s):  
Platelet Count ◽  
Blood Cell ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Cell Imaging ◽  
Platelet Counts ◽  
Manual Count ◽  
Manual Counting ◽  
Highly Correlated

AbstractBackground:The Sysmex DI-60 system (DI-60, Sysmex, Kobe, Japan) is a new automated digital cell imaging analyzer. We explored the performance of DI-60 in comparison with Sysmex XN analyzer (XN, Sysmex) and manual count.Methods:In a total of 276 samples (176 abnormal and 100 normal samples), white blood cell (WBC) differentials, red blood cell (RBC) classification and platelet (PLT) estimation by DI-60 were compared with the results by XN and/or manual count. RBC morphology between pre-classification and verification was compared according to the ICSH grading criteria. The manual count was performed according to the Clinical and Laboratory Standards Institute guidelines (H20-A2).Results:The overall concordance between DI-60 and manual count for WBCs was 86.0%. The agreement between DI-60 pre-classification and verification was excellent (weighted κ=0.963) for WBC five-part differentials. The correlation with manual count was very strong for neutrophils (r=0.955), lymphocytes (r=0.871), immature granulocytes (r=0.820), and blasts (r=0.879). RBC grading showed notable differences between DI-60 and manual counting on the basis of the ICSH grading criteria. Platelet count by DI-60 highly correlated with that by XN (r=0.945). However, DI-60 underestimated platelet counts in samples with marked thrombocytosis.Conclusions:The performance of DI-60 for WBC differential, RBC classification, and platelet estimation seems to be acceptable even in abnormal samples with improvement after verification. DI-60 would help optimize the workflow in hematology laboratory with reduced manual workload.

Haematological indices of grower pigs fed low protein and low energy diets supplemented with multi-enzyme

2020 ◽  
Vol 47 (1) ◽  
pp. 167-173
Author(s):  
R. A. Amaefule ◽  
I. F. Etuk ◽  
T. C. Iwuji ◽  
I. P. Ogbuewu ◽  
O. H. Obikaonu ◽  
...  
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Crude Protein ◽  
Physiological State ◽  
White Male ◽  
Growing Pigs ◽  
Low Energy ◽  
Farm Animals ◽  
Haematological Indices

One of the reliable information for evaluating nutritional status, performance and physiological state of farm animals to nutrient utilization is through haematological indices assessment. Haematological parameters of grower pigs fed low crude protein and low energy diets supplemented with multi-enzyme (enziblend plus+) were determined using 36 hybrid (Landrace x Large white) male pigs of 8-10 weeks old. Two metabolizable energy (3000 and 2600 Kcal ME/kg) and three crude protein levels (18, 16 and 14 % CP) were used to formulate Six dietary treatments; T1 (3000 Kcal ME/Kg; 18 % CP), T2 (3000 Kcal ME/Kg; 16 % CP+ 1g of enzyme/kg diet), T3 (3000 Kcal ME/Kg; 14 % CP+ 1g of enzyme/kg diet), T4 (2600 Kcal ME/Kg; 18 % CP + 1g of enzyme/kg diet), T5 (2600 Kcal ME/Kg; 16 % CP + 1g of enzyme/kg diet) and T6 (2600 Kcal ME/Kg; 14 % CP + 1g of enzyme/kg diet). The treatments were replicated three with two pigs per replicate. The experiment was a 2 x 3 factorial, and T1 served as the control. Blood samples were collected (3mls) via the ear vein from one pig in each replicate, three from treatment for haematological analysis. The results of this study recorded significant differences (P<0.05) in most of the hematological parameters evaluated, except in mean corpuscular haemoglobin concentration (MCHC) and basophile counts of the pigs. Grower pigs fed T2 and T4 diets recorded significantly (P<0.05) higher packed cell volume (PCV) (40.15% and 40.22%), hemoglobin (12.25g/dl and 12.00g/dl), red blood cell (7.95 x106 / µl and 8.00 x106 / µl), white blood cell (8.12 x103 / µl and 7.91 x103 / µl) and lymphocyte counts (5.26 x103 / µl and 5.00 x103 / µl). Grower pigs on T6 recorded significantly (P <0.05) lower mean values for PCV (32.55%), hemoglobin concentration (Hb) (9.82g/dl), red blood cell (RBC) (5.32 x103 / µl), white blood cell (WBC) (6.10 x103 / µl), lymphocyte (3.10 x103 / µl) and monocyte (0.31 x103 / µl) counts, respectively. Based on the findings of this study, feeding of growing pigs with low energy and low crude protein diets below 16 % CP with multi-enzyme supplementation adversely effected PCV, hemoglobin, RBC, WBC, lymphocytes and monocytes of grower pigs and therefore should be avoided in pig production.

scholarly journals Validation of the Medonic CA620/530 Vet 20-μ1 Microcapillary Sampler System for Hematology Testing of Feline Blood

2009 ◽  
Vol 21 (3) ◽  
pp. 364-368 ◽  
Author(s):  
H. Bourgès-Abella Nathalie ◽  
Brice S. Reynolds ◽  
Geffré Anne ◽  
Jean-Pierre Braun ◽  
Catherine Trumel
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Mean Corpuscular Volume ◽  
Hemoglobin Concentration ◽  
Sampling Techniques ◽  
Corpuscular Volume ◽  
Small Species ◽  
Repeated Sampling ◽  
Veterinary School

The aim of the current study was to compare feline hematologic variables in blood collected in microcapillary tubes (20 μl) and conventional blood tubes with the Medonic CA620/530 Vet in-house hematologic analyzer. A comparison of results obtained in 60 cats presented at the clinics of the veterinary school showed that the correlations between the 2 methods were 0.97 for white blood cell, 0.95 for red blood cell, and 0.93 for platelet counts; 0.92 for hemoglobin concentration; and 0.99 for mean corpuscular volume. No clinically relevant differences between the 2 blood sampling techniques were observed for any variable, which suggests that both techniques are interchangeable in cats. Moreover, microcapillary tubes would allow easier repeated sampling in the same cat and would likely be useful in other small species.

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.

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