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Turkish Journal of Haematology :... Nov 2020
Topics: COVID-19; Hematology; Humans; Pandemics; Patients; SARS-CoV-2
PubMed: 32586086
DOI: 10.4274/tjh.galenos.2020.2020.0262 -
PLoS Computational Biology Aug 2021Manual microscopic inspection of fixed and stained blood smears has remained the gold standard for Plasmodium parasitemia analysis for over a century. Unfortunately,...
Manual microscopic inspection of fixed and stained blood smears has remained the gold standard for Plasmodium parasitemia analysis for over a century. Unfortunately, smear preparation consumes time and reagents, while manual microscopy is skill-dependent and labor-intensive. Here, we demonstrate that deep learning enables both life stage classification and accurate parasitemia quantification of ordinary brightfield microscopy images of live, unstained red blood cells. We tested our method using both a standard light microscope equipped with visible and near-ultraviolet (UV) illumination, and a custom-built microscope employing deep-UV illumination. While using deep-UV light achieved an overall four-category classification of Plasmodium falciparum blood stages of greater than 99% and a recall of 89.8% for ring-stage parasites, imaging with near-UV light on a standard microscope resulted in 96.8% overall accuracy and over 90% recall for ring-stage parasites. Both imaging systems were tested extrinsically by parasitemia titration, revealing superior performance over manually-scored Giemsa-stained smears, and a limit of detection below 0.1%. Our results establish that label-free parasitemia analysis of live cells is possible in a biomedical laboratory setting without the need for complex optical instrumentation. We anticipate future extensions of this work could enable label-free clinical diagnostic measurements, one day eliminating the need for conventional blood smear analysis.
Topics: Computational Biology; Deep Learning; Diagnosis, Computer-Assisted; Erythrocytes; Humans; Image Interpretation, Computer-Assisted; Malaria, Falciparum; Microscopy, Ultraviolet; Neural Networks, Computer; Parasitemia; Plasmodium falciparum
PubMed: 34370724
DOI: 10.1371/journal.pcbi.1009257 -
Mediterranean Journal of Hematology and... 2021Data about the morphological changes in peripheral blood smears during COVID-19 infection and their clinical severity association are limited. We aimed to examine the...
BACKGROUND
Data about the morphological changes in peripheral blood smears during COVID-19 infection and their clinical severity association are limited. We aimed to examine the characteristics of the cells detected in the pathological rate and/or appearance and whether these findings are related to the clinical course by evaluating the peripheral blood smear at the time of diagnosis in COVID-19 patients.
METHODS
Clinical features, laboratory data, peripheral blood smear of fifty patients diagnosed with COVID-19 by PCR was evaluated at diagnosis. Peripheral smear samples of the patients were compared with the age and sex-matched 30 healthy controls. Pictures were taken from the patient's peripheral blood smear. Patients were divided into two groups. Mild and severe stage patient groups were compared in terms of laboratory data and peripheral smear findings. The relationship between the laboratory values of all patients and the duration of hospitalization was analyzed.
RESULTS
The number of segmented neutrophils and eosinophils were low, pseudo-Pelger-Huet, pseudo-Pelger-Huet/mature lymphocyte ratio, atypical lymphocytes, monocytes with vacuoles, bands, and pyknotic neutrophils rates were higher in the peripheral blood smear of the patient group (p <0.05). Increased pseudo-Pelger-Huet anomaly, pseudo-Pelger Huet/mature lymphocyte ratio, a decreased number of mature lymphocytes, and eosinophils in peripheral blood smear were observed in the severe stage patients (p <0.05). A negative correlation was observed between hospitalization duration and mature lymphocyte and monocytes with vacuoles rates (p <0.05).
CONCLUSION
A peripheral blood smear is an inexpensive, easily performed, and rapid test. Increased Pseudo-Pelger-Huet anomaly/mature lymphocyte rate suggests a severe stage disease, while high initial mature lymphocyte and monocytes with vacuoles rates at the time of diagnosis may be an indicator of shortened duration of hospitalization.
PubMed: 33489048
DOI: 10.4084/MJHID.2021.009 -
Neurology India 2020Over the last decade, research has intensified worldwide on the use of low-temperature plasmas in medicine and healthcare. Researchers have discovered many methods of... (Review)
Review
Over the last decade, research has intensified worldwide on the use of low-temperature plasmas in medicine and healthcare. Researchers have discovered many methods of applying plasmas to living tissues to deactivate pathogens; to end the flow of blood without damaging healthy tissue; to sanitize wounds and accelerate its healing; and to selectively kill malignant cancer cells. This review paper presents the latest development of advanced and plasma-based technologies used for applications in neurology in particular. Institute for Plasma Research (IPR), an aided institute of the Department of Atomic Energy (DAE), has also developed various technologies in some of these areas. One of these is an Atmospheric Pressure Plasma Jet (APPJ). This device is being studied to treat skin diseases, for coagulation of blood at faster rates and its interaction with oral, lung, and brain cancer cells. In certain cases, in-vitro studies have yielded encouraging results and limited in-vivo studies have been initiated. Plasma activated water has been produced in the laboratory for microbial disinfection, with potential applications in the health sector. Recently, plasmonic nanoparticle arrays which allow detection of very low concentrations of chemicals is studied in detail to allow early-stage detection of diseases. IPR has also been developing AI-based software called DeepCXR and AIBacilli for automated, high-speed screening and detection of footprints of tuberculosis (TB) in Chest X-ray images and for recognizing single/multiple TB bacilli in sputum smear test images, respectively. Deep Learning systems are increasingly being used around the world for analyzing electroencephalogram (EEG) signals for emotion recognition, mental workload, and seizure detection.
Topics: Academies and Institutes; Deep Learning; Humans; Neoplasms; Plasma; Spectrum Analysis, Raman; Tuberculosis
PubMed: 32129239
DOI: 10.4103/0028-3886.279707 -
Cytometry. Part a : the Journal of the... Apr 2023Deep learning has been used to classify the while blood cells in peripheral blood smears. However, the classification of developing neutrophils is rarely studied....
Deep learning has been used to classify the while blood cells in peripheral blood smears. However, the classification of developing neutrophils is rarely studied. Moreover, it is still unknown whether deep learning can work well on the data coming from different sources. In this study, we therefore investigate the classification performance of deep learning for immature and mature neutrophils. In particular, we used three open-access datasets obtained from different imaging systems: CellaVision DM 96, CellaVision DM 100, and iCELL ME-150. A total of 26,050 images identified by one laboratory technologist were randomly split into training, validation, and testing datasets. A total of 10 convolutional neural networks were trained to classify six blood cell types: myeloblast, promyelocyte, myelocyte, metamyelocyte, banded neutrophil, and segmented neutrophil. The experimental results showed that compared to any single model, the average ensemble model could achieve a better classification performance and provide a testing accuracy of 90.1%. The sensitivity and specificity of the average ensemble model for the six blood cell types were above 83.5% and 96.9%, respectively. Our results suggest that deep learning is a promising tool for the classification of developing neutrophils, but further improvement is required.
Topics: Neutrophils; Deep Learning; Neural Networks, Computer
PubMed: 36268593
DOI: 10.1002/cyto.a.24698 -
Indian Journal of Dental Research :... 2021Oral submucous fibrosis (OSMF) is a chronic progressive scarring oral disease caused due to areca quid chewing. The constituents of areca nut can enter into the...
BACKGROUND
Oral submucous fibrosis (OSMF) is a chronic progressive scarring oral disease caused due to areca quid chewing. The constituents of areca nut can enter into the circulation by swallowing the liquid mixture of areca quid which evokes oxidative stress on RBC membrane integrity.
AIMS
To study the morphometric characteristics of erythrocytes under light microscopy and to assess the role of areca quid constituents on the morphology of circulating erythrocytes.
MATERIALS AND METHODS
Peripheral blood smears prepared from blood samples of 50 patients selected according to Lai's classification. Group I: Normal individuals (10 cases); Group II: Mouth opening > 35 mm (10 cases); Group III: Mouth opening 30-35 mm (10 cases); Group IV: Mouth opening 20-30 mm (10 cases) and Group V: Mouth opening < 20 mm (10 cases). The slides were stained with Leishman's stain and assessed by light microscopy. A total of 100 randomly selected RBCs from 5 different fields in each smear were selected and the RBC circumference was measured and tabulated.
STATISTICAL ANALYSIS AND RESULTS
Data was analyzed using GraphPad Prism 5.03 software. Tukey's multiple comparison test showed statistically significant difference (p < 0.05) between groups I and IV; I and V; II and IV; II and V; III and IV; III and V.
CONCLUSION
These results suggest the possibility of cytotoxic effect of areca quid constituents on circulating erythrocytes in advanced cases of OSMF, which might result in microcytic anaemia.
Topics: Areca; Erythrocytes; Humans; Mouth Diseases; Oral Submucous Fibrosis
PubMed: 34269232
DOI: 10.4103/ijdr.IJDR_718_18 -
International Journal of Laboratory... Jun 2022
Topics: Blood Cells; Humans; Neisseria meningitidis
PubMed: 34921504
DOI: 10.1111/ijlh.13784 -
The Science of the Total Environment May 2015Blood analyses have great potential in studies of ecology, ecotoxicology and veterinary science in wild vertebrates based on advances in human and domestic animal... (Review)
Review
Blood analyses have great potential in studies of ecology, ecotoxicology and veterinary science in wild vertebrates based on advances in human and domestic animal medicine. The major caveat for field researchers, however, is that the 'rules' for human or domestic animal haematology do not always apply to wildlife. The present overview shows the strengths and limitations of blood analyses in wild vertebrates, and proposes a standardisation of pre-analytical procedures plus some suggestions for a more systematic examination of blood smears to increase the diagnostic value of blood data. By discussing the common problems that field researchers face with blood variables, we also aim to highlight common ground enabling new researchers in the field to accurately collect blood samples and interpret and place their haematological findings into the overall picture of an ecological or eco-toxicological study. Besides showing the practicality and ecological relevance of simple blood variables, this study illustrates the suitability of blood samples for the application of cutting-edge analytical procedures for expanding the current repertoire of diagnostic tools in wildlife monitoring and ecosystem health assessment.
Topics: Animals; Conservation of Natural Resources; Ecology; Ecosystem; Environmental Monitoring; Hematology
PubMed: 25668285
DOI: 10.1016/j.scitotenv.2015.02.004 -
The Malaysian Journal of Pathology Dec 2022Platelets, along with coagulation factors and vasculature, represent the three main compartments of hemostasis. Upon investigation of a suspected hemostasis disorder,... (Review)
Review
Platelets, along with coagulation factors and vasculature, represent the three main compartments of hemostasis. Upon investigation of a suspected hemostasis disorder, platelet count, size and morphology often offer important clues to the diagnosis or help narrow the differential diagnosis. In this review, we describe a general approach to diagnosing platelet disorders, starting with easily obtained data such as findings of complete blood count (CBC) and microscopic review of a stained peripheral blood smear. We discuss general findings that help separate consumptive from underproduction thrombocytopenia. We further touch on inherited thrombocytopenia disorders after classifying them into those associated with small, normal sized or large platelets. Illustrative microscopic images are provided where contributory. We conclude with a suggested algorithmic step-by-step approach to investigating a suspected platelet disorder in children.
Topics: Child; Humans; Blood Platelet Disorders; Thrombocytopenia; Blood Platelets; Hemostasis; Blood Coagulation Disorders
PubMed: 36591709
DOI: No ID Found -
Frontiers in Veterinary Science 2023Red blood cell distribution width (RDW) and visual assessments of anisocytosis assess variability in erythrocyte size. Veterinary studies on the correlation between the...
Red blood cell distribution width (RDW) and visual assessments of anisocytosis assess variability in erythrocyte size. Veterinary studies on the correlation between the two methods and on observer agreement are scarce. The objectives were to assess the correlation of the grading of anisocytosis by means of conventional microscopy of canine blood smears to RDW, and to assess intra- and inter-observer variation in assessing the degree of anisocytosis. The study included 100 canine blood samples on which blood smear examination and RDW measurement were performed. RDW was measured on the Advia 2120i analyzer. The degree of anisocytosis was based on a human grading scheme assessing the ratio between the size of the representative largest red blood cell and that of the representative smallest red blood cell (1+ if <2x, 2+ if 2-3x, 3+ if 3-4x, and 4+ if >4x). Three observers participated and assessed the blood smears by conventional microscopy twice, 3 weeks apart by each observer. The correlation was assessed for each observer on each occasion using Kendahl-tau-b analysis. Intra-observer agreement was assessed using quadratically weighted kappa. Inter-observer agreement was assessed using free-marginal multi-rater kappa. Anisocytosis graded on blood smears correlated significantly with RDW values as assessed by Kendahl-tau-b ranging between 0.37 and 0.51 ( < 0.0001). Intra-observer agreement ranged from weak to moderate with resulting kappa-coefficients being 0.58, 0.68, and 0.75, respectively. Inter-observer agreement was weak (Kappa-values 0.44). The weak to moderate observer agreement in the visual assessment of anisocytosis indicates that the more precise and more repeatable RDW measurement should be used for clinical decision-making.
PubMed: 37808118
DOI: 10.3389/fvets.2023.1258857