scholarly journals Systematic segmentation method based on PCA of image hue features for white blood cell counting

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261857
Author(s):  
Farid Garcia-Lamont ◽  
Matias Alvarado ◽  
Jair Cervantes
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Blood Smear ◽  
Principal Component ◽  
Ground Truth ◽  
Cell Counting ◽  
Chromatic Contrast ◽  
Adequate Treatment ◽  
Automated Method ◽  
Wbc Count

Leukocyte (white blood cell, WBC) count is an essential factor that physicians use to diagnose infections and provide adequate treatment. Currently, WBC count is determined manually or semi-automatically, which often leads to miscounting. In this paper, we propose an automated method that uses a bioinspired segmentation mimicking the human perception of color. It is based on the claim that a person can locate WBCs in a blood smear image via the high chromatic contrast. First, by applying principal component analysis over RGB, HSV, and L*a*b* spaces, with specific combinations, pixels of leukocytes present high chromatic variance; this results in increased contrast with the average hue of the other blood smear elements. Second, chromaticity is processed as a feature, without separating hue components; this is different to most of the current automation that perform mathematical operations between hue components in an intuitive way. As a result of this systematic method, WBC recognition is computationally efficient, overlapping WBCs are separated, and the final count is more precise. In experiments with the ALL-IDB benchmark, the performance of the proposed segmentation was assessed by comparing the WBC from the processed images with the ground truth. Compared with previous methods, the proposed method achieved similar results in sensitivity and precision and approximately 0.2% higher specificity and 0.3% higher accuracy for pixel classification in the segmentation stage; as well, the counting results are similar to previous works.

scholarly journals White blood cell counting analysis of blood smear images using various segmentation strategies

2017 ◽  
Author(s):  
Syadia Nabilah Mohd Safuan ◽  
Razali Tomari ◽  
Wan Nurshazwani Wan Zakaria ◽  
Nurmiza Othman
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Blood Smear ◽  
Cell Counting ◽  
Blood Cell Counting ◽  
White Blood Cell Counting

Performance of digital morphology analyzer Vision Pro on white blood cell differentials

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sumi Yoon ◽  
Mina Hur ◽  
Mikyoung Park ◽  
Hanah Kim ◽  
Seung Wan Kim ◽  
...  
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Blood Smear ◽  
Peripheral Blood Smear ◽  
Manual Count ◽  
Digital Morphology ◽  
Overall Efficiency ◽  
Mean Differences ◽  
Wbc Count ◽  
Laboratory Workflow

Abstract Objectives Vision Pro (West Medica, Perchtoldsdorf, Austria) is a recently developed digital morphology analyzer. We evaluated the performance of Vision Pro on white blood cell (WBC) differentials. Methods In a total of 200 peripheral blood smear samples (100 normal and 100 abnormal samples), WBC preclassification and reclassification by Vision Pro were evaluated and compared with manual WBC count, according to the Clinical and Laboratory Standards Institute guidelines (H20-A2). Results The overall sensitivity was high for normal WBCs and nRBCs (80.1–98.0%). The overall specificity and overall efficiency were high for all cell classes (98.1–100.0% and 97.7–99.9%, respectively). The absolute values of mean differences between Vision Pro and manual count ranged from 0.01 to 1.31. In leukopenic samples, those values ranged from 0.09 to 2.01. For normal WBCs, Vision Pro preclassification and manual count showed moderate or high correlations (r=0.52–0.88) except for basophils (r=0.34); after reclassification, the correlation between Vision Pro and manual count was improved (r=0.36–0.90). Conclusions This is the first study that evaluated the performance of Vision Pro on WBC differentials. Vision Pro showed reliable analytical performance on WBC differentials with improvement after reclassification. Vision Pro could help improve laboratory workflow.

Association Between White Blood Cell Counts and Brachial-Ankle Pulse Wave Velocity in Chinese Hypertensive Adults: A Cross-Sectional Study

Angiology ◽  
2021 ◽  
pp. 000331972110211
Author(s):  
Buyun Jia ◽  
Chongfei Jiang ◽  
Yun Song ◽  
Chenfangyuan Duan ◽  
Lishun Liu ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Blood Cell ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
White Blood Cell ◽  
Pulse Wave ◽  
Final Analysis ◽  
Cross Sectional ◽  
Cell Counts ◽  
Wbc Count

Increased arterial stiffness is highly prevalent in patients with hypertension and is associated with cardiovascular (CV) risk. Increased white blood cell (WBC) counts may also be an independent risk factor for arterial stiffness and CV events. The aim of the study was to investigate the relationship between differential WBC counts and brachial-ankle pulse wave velocity (baPWV) in hypertensive adults. A total of 14 390 participants were included in the final analysis. A multivariate linear regression model was applied for the correlation analysis of WBC count and baPWV. Higher WBC counts were associated with a greater baPWV: adjusted β = 10 (95% CI, 8-13, P < .001). The same significant association was also found when WBC count was assessed as categories or quartiles. In addition, the effect of differential WBC subtypes, including neutrophil count and lymphocyte count on baPWV, showed the similar results. These findings showed that baPWV has positive associations with differential WBC counts in hypertensive adults.

scholarly journals Predictive values of Alvarado score, serum C-reactive protein, and white blood cell count in the diagnosis of acute appendicitis: a prospective study

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Ademola Olusegun Talabi ◽  
Tewogbade Adeoye Adedeji ◽  
Oludayo Adedapo Sowande ◽  
Olusanya Adejuyigbe
Keyword(s):  
Acute Appendicitis ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
C Reactive Protein ◽  
Blood Cell Count ◽  
Alvarado Score ◽  
Reactive Protein ◽  
Wbc Count

Abstract Background The diagnosis of acute appendicitis in children is quite challenging as the rate of negative appendectomy varies between 15 and 57%. Increased utilization of imaging diagnostic facilities in advanced countries seems to have reduced the incidence of operating on normal appendix to a single digit. In low- and middle-income countries, the incidence remains unacceptably high (double digits). Inflammatory markers and scoring systems may be a suitable adjunct to increase diagnostic yield in most third world countries. Thus, the aim of this study was to evaluate the diagnostic value of Alvarado score, white blood cell count, and serum C-reactive protein in children with acute appendicitis. Results The ages of patients ranged between 4 and 15 years with a mean of 11.2 ± 2.8 years. The male to female ratio was 1.4 to 1.0. Nineteen percent of patients had negative appendiceal findings on histological examination. The sensitivity and specificity of Alvarado score, C-reactive protein estimation, total white blood cell count in diagnosing acute appendicitis were 86.4% and 63.2%, 98.8% and 36.8%, and 51.9% and 89.5% respectively. Alvarado score has the highest area under ROC curve analysis 0.824, 95% CI of 0.724 to 0.924 compared with CRP, 0.769. 95% CI of = 0.647 to 0.891 and WBC count, 0.765, 95% CI of 0.643 to 0.887. Both CRP and WBC count showed higher discriminatory values between complicated and uncomplicated appendicitis, p < 0.001. Conclusion Alvarado score outperformed other tests in setting the diagnosis of acute appendicitis. However, none of the tests can be relied on wholly for operative decision. Clinical judgement remains the bedrock for diagnosis and operative management.

scholarly journals Decrease in white blood cell counts after thiopentone barbiturate therapy for refractory intracranial hypertension: A common complication

2013 ◽  
Vol 04 (S 01) ◽  
pp. S31-S34 ◽  
Author(s):  
Shin Yi Ng ◽  
Ki Jinn Chin ◽  
Tong Kiat Kwek
Keyword(s):  
Statistical Analysis ◽  
Blood Cell ◽  
Intracranial Hypertension ◽  
White Blood Cell ◽  
Retrospective Review ◽  
T Test ◽  
Barbiturate Coma ◽  
Barbiturate Therapy ◽  
The Mean ◽  
Wbc Count

ABSTRACT Background: Leucopenia has been reported after induction of thiopentone barbiturate therapy for refractory intracranial hypertension. However, the incidence and characterisitics are not well described. Aims: We performed a retrospective review to describe the incidence and characteristics of leucopenia after induction of thiopentone barbiturate therapy. Setting and Design: Our centre is a national referral centre for neurotrauma and surgery in a tertiary medical institution.Materials and Methods: We performed a retrospective review of all patients who received thiopentone barbiturate therapy for refractory intracranial hypertension during an 18 month period from January 2004 to June 2005 in our neurosurgical intensive care unit. Statistical Analysis Used: Statistical analysis was performed using SPSS version 15.0. All data are reported as mean ± standard deviation or median (interquartile range). The Chi square test was used to analyze categorical data and student t test done for comparison of means. For paired data, the paired t?test was used.-test was used. Results: Thirty eight (80.9%) out of 47 patients developed a decrease in white blood cell (WBC) count after induction of thiopentone barbiturate coma. The mean decrease in WBC from baseline to the nadir was 6.4 × 10 9 /L (P <lt; 0.001) and occurred 57 (3-147) h after induction. The mean nadir WBC was 8.6 < 3.6 × 10 9 /L. Three (6.4%) patients were leucopenic, with a WBC count of 2.8, 3.1, and 3.6 < 10 9 /L. None of them were neutropenic. We did not find an association between decrease in WBC count and clinical diagnosis of infection. We did not find any association between possible risk factors such as admission GCS, maximum ICP prior to induction of barbiturate coma, APACHE II score, total duration and dose of thiopentone given, and decrease in WBC count. Conclusions: Decrease in WBC count is common, while development of leucopenia is rare after thiopentone barbiturate coma. Regular monitoring of WBC counts is recommended.

scholarly journals Blood Cell Count Using Deep Learning Semantic Segmentation

2019 ◽  
Author(s):  
Thanh Tran ◽  
Lam Binh Minh ◽  
Suk-Hwan Lee ◽  
Ki-Ryong Kwon
Keyword(s):  
Deep Learning ◽  
Blood Cell ◽  
Cell Count ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Semantic Segmentation ◽  
Peripheral Blood Smear ◽  
Cell Counting ◽  
Blood Cell Count

Clinically, knowing the number of red blood cells (RBCs) and white blood cells (WBCs) helps doctors to make the better decision on accurate diagnosis of numerous diseases. The manual cell counting is a very time-consuming and expensive process, and it depends on the experience of specialists. Therefore, a completely automatic method supporting cell counting is a viable solution for clinical laboratories. This paper proposes a novel blood cell counting procedure to address this challenge. The proposed method adopts SegNet - a deep learning semantic segmentation to simultaneously segment RBCs and WBCs. The global accuracy of the segmentation of WBCs, RBCs, and the background of peripheral blood smear images obtains 89% when segment WBCs and RBCs from the background of blood smear images. Moreover, an effective solution to separate grouped or overlapping cells and cell count is presented using Euclidean distance transform, local maxima, and connected component labeling. The counting result of the proposed procedure achieves an accuracy of 93.3% for red blood cell count using dataset 1 and 97.38% for white blood cell count using dataset 2.

A Silk Purse from a Sow's Ear?

PEDIATRICS ◽  
1981 ◽  
Vol 68 (2) ◽  
pp. 305-306
Author(s):  
James K. Todd
Keyword(s):  
Blood Cell ◽  
Study Design ◽  
White Blood Cell ◽  
Viral Illness ◽  
Prior Literature ◽  
Object Lesson ◽  
Wbc Count

In the 1970s it became axiomatic that a manuscript discussing the value of the white blood cell (WBC) count and differential would be an object lesson in flawed study design and inaccurate interpretation of prior literature. Somehow I always seem to get dragged into the argument with the mistaken impression that I feel, as misquoted by Dr Karniski, that a "CBC could accurately distinguish between any child with bacteremia and a child with a viral illness."

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