Search Results (683)

Background: Vitamin D can influence athletic performance and infection risk. This study aimed to investigate vitamin D status, hematochemical factors, anthropometric and performance parameters, and dietary habits in runners (n = 23) and sedentary healthy individuals (non-runners, n = 22) during the autumn season. Methods: Both groups had their serum 25-Hydroxyvitamin D (ng/mL) levels, blood and performance parameters, and dietary habits measured. Results: Serum 25-Hydroxyvitamin D levels were significantly lower in non-runners (runners: males 30.0 ± 5.6, females 31.2 ± 5.2 vs. non-runners: males, 22.8 ± 6.5, females 24.7 ± 6.5 ng/mL, p < 0.001). White blood cells, monocyte, and neutrophil levels were higher in non-runners for both males and females. Among the subjects, 23 had optimal vitamin D levels (>29 ng/mL), while 22 had insufficient/deficient levels (<29 ng/mL), with a higher prevalence of insufficiency in non-runners compared to runners (63.6% vs. 34.8%; p = 0.053). Maximal isometric force and jump height were equal in both groups, but VO₂max was higher in runners. Linear regression analysis identified monocyte count as the only predictor of vitamin D levels for both males (y = −24.452 x + 40.520; R² = 0.200; p = 0.015) and females (y = −33.409 x + 45.240; R² = 0.368; p = 0.003). Conclusions: This study highlights significant differences in vitamin D status between runners and non-runners, with runners exhibiting higher serum 25-Hydroxyvitamin D levels, although this finding is likely due to the increased sun exposure that runners receive. It also provides valuable insights into the vitamin D status of healthy young sedentary individuals and runners, enhancing the understanding of how physical activity influences vitamin D levels. Full article

Objectives: Identifying reliable biomarkers to predict mortality in critically ill patients is crucial for optimizing management in intensive care units (ICUs). Inflammatory and metabolic markers are increasingly recognized for their prognostic value. This study aims to evaluate the association of various inflammatory and metabolic markers with ICU mortality. Methods: This prospective observational study was conducted from January 2023 to January 2024 in the City Hospital’s ICU. A total of 160 critically ill patients were enrolled. Laboratory parameters, including white blood cell (WBC) count, red cell distribution width (RDW), platelet count, neutrophil count, mean platelet volume (MPV), monocyte count, lymphocyte count, procalcitonin (PCT), C-reactive protein (CRP), calcium (Ca⁺⁺), and vitamin D levels, were analyzed. Additionally, ratios such as the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory index (SII), and pan-immune-inflammation value (PIV) were calculated. Plasma levels of Gla-rich protein (GRP) and dephosphorylated uncarboxylated matrix Gla protein (dp-ucMGP) were measured using ELISA. Results: The mean age of the patients included in the study was 60.5 ± 15.8 years. Cardiovascular disease was present in 72 patients (45%), respiratory system disease in 58 (36%), and chronic kidney disease (CKD) in 38 (24%). Additionally, 61 patients (38%) had diabetes, and 68 (42%) had hypertension. Inflammatory markers, including PLR, NLR, and PIV, were all significantly higher in non-survivors, while calcium and vitamin D levels were lower (p < 0.05). Higher WBC, RDW, neutrophil count, PLR, NLR, PIV, CRP, procalcitonin, GRP, and dp-ucMGP levels were positively correlated with longer hospital stays and increased mortality. In contrast, platelet and lymphocyte counts were negatively correlated with both outcomes (p < 0.05). Vitamin D levels showed an inverse relationship with both hospital stay and mortality, indicating that lower levels were associated with worse outcomes (p < 0.05). In multiple logistic regression analysis, elevated WBC count (OR = 1.20, p = 0.02), RDW (OR = 1.35, p = 0.01), neutrophil count (OR = 1.25, p = 0.01), MPV (OR = 1.20, p = 0.02), PLR (OR = 1.30, p = 0.01), NLR (OR = 1.40, p = 0.001), PIV (OR = 1.50, p = 0.001), CRP (OR = 1.32, p = 0.01), procalcitonin (OR = 1.45, p = 0.001), GRP (OR = 1.40, p = 0.001), and dp-ucMGP (OR = 1.30, p = 0.001) levels were significantly associated with increased mortality. Conclusions: Inflammatory and metabolic markers, particularly NLR, PLR, PIV, GRP, and dp-ucMGP, are strong predictors of mortality in ICU patients. These markers provide valuable insights for risk stratification and early identification of high-risk patients, potentially guiding more targeted interventions to improve outcomes. Full article

Air pollution contributes significantly to morbidity and mortality globally. The Niger Delta Region of Nigeria flares the second largest amount of natural gas in the world, with residents of oil-producing communities bearing the burden of outdoor pollution that may have adverse effects on their health and well-being. Our study aimed to investigate the haematological indices of residents of a selected gas-flaring site. We conducted a cross-sectional study, wherein a total of eighty adults aged 24 to 73 years were recruited from communities located within a radius of approximately 5 to 10 km from the gas-flaring facility. Blood specimens were collected from consenting participants and analysed for various haematological parameters, including Red Blood Cell (RBC) count, Packed Cell Volume (PCV), Haemoglobin (HB), Mean Cell Haemoglobin (MCH), platelet count (PLT), White Blood Cell (WBC) count, neutrophil (NEU), lymphocytes (LYMs), and Monocyte + Basophil + Eosinophil (MXD). The analysis was performed using an automated Sysmex KX21N haematological analyser. Overall, there was a significant decrease in RBC counts (p < 0.001) and a significant elevation in WBCs (p < 0.001) among people residing within a 5 km radius compared to those residing within a 10 km radius. About 42.5% of males residing within a 5 Km radius exhibited low RBC counts in contrast to only 15% of males residing within a 10 km radius. The WBC levels were found to be significantly higher (p < 0.001) than the reference range among both males and females residing within a 5 km radius compared to those residing at a distance of 10 km. In the female population, 15% of individuals residing within a 5 km and 10 Km radius exhibited RBC levels below the reference category, while 7.5% showed RBC levels above the reference range. Exposure to gas flaring may alter haematological indices. It is, therefore, recommended that a comprehensive longitudinal study be conducted among residents of oil-producing communities and workers at gas-flaring facilities in the Niger Delta region of Nigeria to assess the potential environmental and health implications of their exposure to chemical pollutants. Full article

The breeding of disease-resistant pigs has consistently been a topic of significant interest and concern within the pig farming industry. The study of pig blood indicators has the potential to confer economic benefits upon the pig farming industry, whilst simultaneously providing valuable insights that can inform the study of human diseases. In this study, an F2 resource population of 489 individuals was generated through the intercrossing of Large White boars and Min pig sows. A total of 17 haematological parameters and T lymphocyte subpopulations were measured, including white blood cell count (WBC), lymphocyte count (LYM), lymphocyte count percentage (LYM%), monocyte count (MID), monocyte count percentage (MID%), neutrophilic granulocyte count (GRN), percentage of neutrophils (GRN%), mean platelet volume (MPV), platelet distribution width (PDW), platelet count (PLT), CD4+/CD8+, CD4+CD8+CD3+, CD4+CD8−CD3+, CD4−CD8+CD3+, CD4−CD8−CD3+, and CD3+. The Illumina PorcineSNP60 Genotyping BeadChip was obtained for all of the F2 animals. Subsequently, a genome-wide association study (GWAS) was conducted using the TASSEL 5.0 software to identify associated variants and candidate genes for the 17 traits. Significant association signals were identified for PCT and PLT on SSC7, with 1 and 11 significant SNP loci, respectively. A single nucleotide polymorphism (SNP) on SSC12 was identified as a significant predictor of the white blood cell (WBC) trait. Significant association signals were detected for the T lymphocyte subpopulations, namely CD4+/CD8+, CD4+CD8+CD3+, CD4+CD8−CD3+, and CD4−CD8+CD3+, with the majority of these signals observed on SSC7. The genes CLIC5, TRIM15, and SLC17A4 were identified as potential candidates for influencing CD4+/CD8+ and CD4−CD8+CD3+. A missense variant, c.2707 G>A, in the SLC17A4 gene has been demonstrated to be significantly associated with the CD4+/CD8+ and CD4-CD8+CD3+ traits. Three missense variants (c.425 A>C, c.500 C>T, and c.733 A>G) have been identified in the TRIM15 gene as being linked to the CD4+/CD8+ trait. Nevertheless, only c.425 A>C has been demonstrated to be significantly associated with CD4-CD8+CD3+. In the CLIC5 gene, one missense variant (c.957 T>C) has been identified as being associated with the CD4+/CD8+ and CD4-CD8+CD3+ traits. Additionally, significant association signals were observed for CD4+CD8+CD3+ and CD4+CD8−CD3+ on SSC2 and 5, respectively. Subsequently, a gene ontology (GO) enrichment analysis was conducted on all genes within the quantitative trait loci (QTL) intervals of platelet count, CD4+/CD8+, and CD4−CD8+CD3+. The MHC class II protein complex binding pathway was identified as the most significant pathway among the three immune traits. These results provide guidance for further research in the field of breeding disease-resistant pigs. Full article

Airway inflammatory diseases, such as asthma, are a global public health concern owing to their chronic inflammatory effects on the respiratory mucosa. Molecular hydrogen (H₂) has recently been recognized for its antioxidant and anti-inflammatory properties. In this study, we examined the therapeutic potential of H₂ in airway inflammation using an ovalbumin (OVA)-induced BALB/c mouse model of allergic asthma. Female BALB/c mice were sensitized and challenged with OVA to induce airway inflammation, and 30 mice were randomly divided into five groups: NT (non-treatment), HTC (3% H₂ treatment only), NC (negative control, OVA only), PC (positive control, OVA + intranasal 1 mg/mL salbutamol 50 μL), and HT (H₂ treatment, OVA + inhaled 3% H₂). Various inflammatory and oxidative stress (OS)-induced markers such as white blood cells (WBCs) and their differential counts, lung histology, cytokine levels such as interleukin (IL)-4, (IL)-5, (IL)-13, interferon-gamma (IFN-γ), tumor necrosis factor-alpha (TNF-α), granulocyte-macrophage colony-stimulating factor (GM-CSF), (IL)-10, reactive oxygen species (ROS), nitric oxide (NO), glutathione peroxidase (GPx), and catalase (CAT), and total immunoglobulin E (IgE) levels were investigated. Our results showed that inhaled H₂ significantly reduced inflammatory cell infiltration, OS markers, and pro-inflammatory cytokine expression while upregulating antioxidant enzyme activity. Furthermore, H₂ also significantly decreased serum IgE levels, a marker of allergic inflammation. Collectively, our findings suggest that H₂ inhalation is a promising treatment option for airway inflammation, offering a novel approach with potential clinical applications. Full article

Platelets play a crucial role in blood transfusions, and understanding the changes that occur during their storage is important for maintaining the quality of preparations. In this study, we examined key alternating factors, with a particular focus on platelet activation and the release of extracellular vesicles. Additionally, we compared two detection methods—imaging flow cytometry (IFC) and nanoparticle tracking analysis (NTA)—for their effectiveness in detecting particles. Platelet concentrates were prepared by pooling buffy coats from five blood group-compatible donors in an additive solution. Samples were analysed after one, three, and seven days of storage for residual white blood cells (WBCs), glucose levels, platelet activation, and extracellular vesicle concentrations. Over the storage period, the total platelet concentration decreased slightly, while the residual WBC count remained stable. Glucose levels declined, whereas platelet activation and extracellular vesicle concentration increased, with a positive correlation between the two. The particle size remained relatively unchanged throughout the storage period. Ultimately, despite controlled processing and storage conditions, platelet activation, and the release of extracellular vesicles still occurred, which may have implications for transfusion recipients. Although an optimised method is still needed, IFC has proved to be specific and potentially appropriate for detecting extracellular vesicles in transfusion preparations. Full article

Background: Patients with ovarian cancer have high platelet counts, which correlate with disease burden, incidence, and lethality of blood clots (thrombosis). We hypothesized that elevated aggregation is associated with both increased platelet number and altered behavior of platelets in patients with ovarian cancer. Methods: Healthy controls and patients with suspected or diagnosed ovarian cancer were evaluated for complete blood counts. To evaluate the effects of platelet count versus platelet behavior, equal platelet-rich plasma (PRP) volumes versus equal platelet numbers were used in platelet aggregation assays. Arachidonic acid, adenosine diphosphate, and collagen platelet agonists were used to induce aggregation. Volunteers were grouped into healthy controls (23), benign/borderline cases (7), and cancer cases (25 ovarian, 1 colorectal, and 2 endometrial). Results: The rate and amount of platelet aggregation were higher in patients compared to healthy controls regardless of whether the same platelet number or PRP volume was used. Compared to healthy controls, patients with untreated ovarian cancer exhibited high levels of platelet activation markers, P-selectin (27.06 vs. 31.06 ng/mL, p = 0.03), and beta-thromboglobulin (3.073 vs. 4.091 µg/mL, p = 0.02) in their plasma. The significance of the elevation and its correlations with platelet number or PRP volume varied depending on the agonist. Platelet (305.88 vs. 134.12, p < 0.0001) and white blood cell (8.459 vs. 5.395, p < 0.01) counts (×10⁹/L) were elevated pre-chemotherapy and decreased post-chemotherapy, respectively. Conclusions: Elevated platelet aggregation is caused by both altered platelet number and behavior in patients with ovarian cancer. These results support the study of antiplatelet agents for thrombosis prevention in these patients. Full article

Background: Previous research has suggested that modulated electro-hyperthermia (mEHT) can be used to induce anti-tumor immune effects and to extend patient survival. The use of mEHT in advanced pancreatic cancer is beneficial; however, its immune-mediating effects were never investigated. Methods: A retrospective observational study was conducted. Leukocyte counts, C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), and granulocyte-to-lymphocyte ratio (GLR) were measured at baseline, midpoint, and after mEHT treatment. Results: A total of 73 mEHT treated pancreatic cancer patients were included. The time elapsed between tumor diagnosis and the first mEHT treatment was 4.40 ± 5.70 months. While no change could be observed between the baseline and the first follow-up visits, the total white blood cell (WBC), neutrophil, and granulocyte count, CRP, NLR, and GLR were significantly higher at the second follow-up compared to both previous visits. Higher levels of the latter parameters following the last mEHT treatment were signaling significantly poor prognostic signs, and so were their longitudinal changes. Conclusions: After the initiation of mEHT, immune markers stabilize with the treatment, but this positive effect is eroded over time by progressive disease. Monitoring the changes in these markers and the occurrence of their increase is a prognostic marker of shorter survival. Full article

Background: Patients suffering from coronavirus disease-19 (COVID-19)-related interstitial pneumonia have variable outcomes, and the risk factors for a more severe course have yet to be comprehensively identified. Cohort studies have suggested that coronary artery calcium (CAC), as estimated at chest computed tomography (CT) scan, correlated with patient outcomes. However, given that the prevalence of CAC is gender- and age-dependent, the influence of baseline confounders cannot be completely excluded. Methods: We designed a retrospective, multicenter case-control study including patients with COVID-19, with severe course cases selected based on death within 30 days or requiring invasive ventilation, whereas controls were age- and sex-matched patients surviving up to 30 days without invasive ventilation. The primary outcome was the analysis of moderate-to-severe CAC prevalence between cases and controls. Results: A total of 65 cases and 130 controls were included in the study. Cases had a significantly higher median pulmonary severity score at chest CT scan compared to controls (10 vs. 8, respectively; p = 0.0001), as well as a higher CAC score (5 vs. 2; p = 0.009). The prevalence of moderate-to-severe CAC in cases was significantly greater (41.5% vs. 23.8%; p = 0.013), a difference mainly driven by a higher prevalence in those who died within 30 days (p = 0.000), rather than those requiring invasive ventilation (p = 0.847). White blood cell count, moderate-to-severe CAC, the need for antibiotic therapy, and severe pneumonia at CT scan were independent primary endpoint predictors. Conclusions: This case-control study demonstrated that the CAC burden was higher in COVID-19 patients who did not survive 30 days or who required mechanical ventilation, and CAC played an independent prognostic role. Full article

Necrotizing fasciitis (NF) is a severe and life-threatening soft tissue infection that requires timely and accurate diagnosis to improve patient outcomes. The early diagnosis of NF remains challenging due to its similarity to other subcutaneous soft tissue infections like cellulitis. This study aims to employ machine learning techniques to differentiate NF from cellulitis and enhance the diagnostic accuracy of NF by developing a modified LRINEC (MLRINEC) score. These modifications aimed to improve the sensitivity and specificity of NF diagnosis. The study utilized three machine learning classifiers—Logistic Regression, decision tree, and Random Forest—to assess their effectiveness in distinguishing between NF and cellulitis cases. The MLRINEC score was developed by incorporating six key blood test parameters: creatinine, hemoglobin, platelet count, sodium, white blood cell count, and C-reactive protein using laboratory data from Maha Sarakham Hospital in Northeastern Thailand. Our findings indicate that the decision tree classifier demonstrated superior performance, achieving the highest recall, particularly in accurately identifying NF cases. A feature importance analysis revealed that hemoglobin levels and white blood cell counts were the most critical factors influencing the model’s predictions. The platelet count (PT), C-reactive protein (CRP), and creatinine (CT) also played important roles, while sodium levels (NA) were the least influential. The MLRINEC score demonstrates high accuracy in classifying NF and cellulitis patients, paving the way for improved diagnostic protocols in clinical settings. Full article

Background: Oxidative stress plays an important role in the pathophysiology of bronchial asthma (BA), chronic obstructive pulmonary disease (COPD), and asthma–COPD overlap (ACO), but its relevance has not been fully elucidated. The aim of this study was to measure the levels of oxidative stress and investigate its clinical significance in patients with BA, COPD, or ACO. Methods: We recruited 214 patients between June 2020 and May 2023 (109 patients with BA, 63 with COPD, and 42 with ACO). To assess clinical conditions, we evaluated patient characteristics, results of respiratory function tests and blood tests, and administered several questionnaires. We evaluated oxidative stress using the test for derivatives–reactive oxygen metabolites (d–ROMs) in serum. Results: The d–ROMs levels were significantly higher in patients with COPD or ACO than in patients with BA. There was no difference in serum d–ROMs levels between the COPD and ACO groups. In BA, d–ROMs levels were positively correlated with interleukin (IL)-6, IL-8, serum amyloid A (SAA), and C-reactive protein (CRP) levels; white blood cell (WBC) and neutrophil counts; and St. George’s Respiratory Questionnaire (SGRQ) scores, and they were negatively correlated with forced expiratory volume in 1 s (%FEV₁) and asthma control test (ACT) score. In COPD, d–ROMs levels were positively correlated with IL-6, SAA, and CRP levels; WBC, neutrophil, and eosinophil counts; and COPD assessment test (CAT) and SGRQ scores, and they were negatively correlated with forced vital capacity (%FVC), %FEV₁, and %FEV₁/FVC scores. In ACO, d–ROMs levels were positively correlated with IL-6, SAA, tumor necrosis factor alpha (TNF-α), and CRP levels; and CAT and SGRQ scores, and they were negatively correlated with %FVC and %FEV₁ scores. Conclusions: Serum d–ROMs levels may serve as a marker reflecting clinical conditions such as systemic inflammation, symptom severity, and airflow limitation in patients with BA, COPD, and ACO. Full article

Multifocal hepatic lesions in dogs arise from various benign and malignant liver diseases. Diagnosing these lesions is challenging because clinical signs, hematological data, and serum biochemistry are not definitive indicators. Ultrasound is utilized as a diagnostic imaging tool to evaluate liver parenchyma and detect hepatic lesions. This study aims to investigate the predictive factors that differentiate between benign and malignant multifocal hepatic lesions by examining ultrasound characteristics, blood tests, and serum biochemistry. In total, 43 dogs with multifocal hepatic lesions were included in this study. All dogs were classified into benign hepatic diseases (n = 32) and malignant haptic diseases (n = 11). For all dogs, their liver characteristics, lesion characteristics, and hepatobiliary ultrasound score by ultrasound were evaluated and we collected individual clinicopathological data for analysis. The findings of the univariate analysis revealed significant differences in four hematological and blood chemical parameters (hematocrit, white blood cell count, aspartate transaminase (AST), and alkaline phosphatase (ALP)) and six ultrasonographic parameters (liver parenchymal echogenicity, lesion homogeneity, lesion echogenicity, maximum lesion dimension, average lesion dimension, and hepatobiliary ultrasound score). Using multivariate analysis, only two parameters, hepatobiliary ultrasound score and lesion homogeneity, showed significant differences (p-value < 0.001 and p-value = 0.011, respectively). Additionally, these parameters demonstrated high accuracy in predicting malignant multifocal liver lesions, with accuracy rates of 97.67% and 93.02%, respectively. Therefore, the hepatobiliary ultrasound score and lesion homogeneity are considered effective parameters for screening malignant multifocal liver lesions in dogs. Full article

Sepsis remains a significant contributor to neonatal mortality worldwide. However, the nonspecific nature of sepsis symptoms in neonates often leads to the necessity of empirical treatment, placing a burden of ineffective treatment on patients. Furthermore, the global challenge of antimicrobial resistance is exacerbating the situation. Artificial intelligence (AI) is transforming medical practice and in hospital settings. AI shows great potential for assessing sepsis risk and devising optimal treatment strategies. Background/Objectives: This review aims to investigate the application of AI in the detection and management of neonatal sepsis. Methods: A systematic literature review (SLR) evaluating AI methods in modeling and classifying sepsis between 1 January 2014, and 1 January 2024, was conducted. PubMed, Scopus, Cochrane, and Web of Science were systematically searched for English-language studies focusing on neonatal sepsis. Results: The analyzed studies predominantly utilized retrospective electronic medical record (EMR) data to develop, validate, and test AI models to predict sepsis occurrence and relevant parameters. Key predictors included low gestational age, low birth weight, high results of C-reactive protein and white blood cell counts, and tachycardia and respiratory failure. Machine learning models such as logistic regression, random forest, K-nearest neighbor (KNN), support vector machine (SVM), and XGBoost demonstrated effectiveness in this context. Conclusions: The summarized results of this review highlight the great promise of AI as a clinical decision support system for diagnostics, risk assessment, and personalized therapy selection in managing neonatal sepsis. Full article

Background: Postimplantation syndrome (PIS) is a known inflammatory response following endovascular stent placement, yet comparative data between venous and arterial stenting remains limited. This study seeks to evaluate the incidence, characteristics, and clinical implications of PIS across these two distinct vascular territories. Methods: We retrospectively analyzed 191 patients who underwent either venous (n = 36) or arterial (n = 155) stent placement. Data collection encompassed demographic profiles, perioperative laboratory findings, and clinical outcomes. The primary endpoint was the incidence of PIS, defined as the presence of fever (≥38 °C), leukocytosis, and elevated C-reactive protein (CRP) within 30 days postprocedure. Secondary outcomes included length of hospital and ICU stay, incidence of endoleaks, reintervention rates, and 30-day mortality. Comparative statistical analyses were conducted to assess differences between the venous and arterial stent groups. Results: PIS was observed more frequently in arterial stent patients, as evidenced by significantly elevated postoperative white blood cell counts at 24 and 48 h (p = 0.046 and p = 0.014, respectively), along with borderline CRP increases (p = 0.052). Fever occurrence peaked at 72 and 96 h postprocedure, predominantly in the arterial cohort. Furthermore, patients with arterial stents had significantly longer hospital stays (5.59 ± 0.46 days vs. 3.42 ± 0.36 days; p = 0.0018) and a higher rate of 30-day endoleaks (7.1% vs. 0%; p = 0.005). Despite similar mortality and major adverse cardiac event (MACE) rates between groups, arterial stent patients exhibited a greater need for reintervention. While PIS was less common among venous stent recipients, its potential impact on postoperative recovery warrants careful monitoring. Conclusions: Arterial stenting is associated with a higher incidence of PIS and a more pronounced systemic inflammatory response, contributing to longer hospitalization and increased postoperative complications. Although venous stent patients experience PIS less frequently, its occurrence should not be overlooked, as it may influence overall recovery and clinical outcomes. Recognition and management of PIS in both venous and arterial stent patients are critical to improving patient care and optimizing procedural success. Full article

Background: Cerebrospinal fluid (CSF) analysis is essential for diagnosing various disorders affecting the central nervous system (CNS). Traditionally, CSF cell count analysis is performed manually using a Neubauer chamber hemocytometer, which is labor-intensive and prone to subjective interpretation. Methods: In this study, we evaluated the analytical and clinical performance of the Microscanner C3, an automated cell counting system, for CSF analysis using artificially prepared samples and 150 clinical CSF samples. Results: The lowest detectable white blood cell (WBC) count was 3.33 cells/µL, and the lowest detectable red blood cell (RBC) count was 3.67 cells/µL. The coefficients of variation (CV%) for the Microscanner C3 were lower than those for the Neubauer chamber at all cell concentrations. The correlation coefficients (R) between the Microscanner C3 and conventional methods were high: 0.9377 for WBCs and 0.9952 for RBCs when compared with the Neubauer chamber, and 0.8782 for WBCs and 0.9759 for RBCs when compared with the flow cytometer. Additionally, the Microscanner C3 showed good agreement with both the Neubauer chamber and flow cytometer in the Passing–Bablok regression analysis and Bland–Altman analysis for WBC count at all concentrations and RBC count at concentrations of 0–1000 cells/µL. Conclusions: The Microscanner C3 proved to be more sensitive, precise, and consistent compared to the conventional hemocytometer. The new system is also compact, convenient, and cost-effective, making it a valuable option for clinical laboratories. Full article