AIMC Topic: Blood Cells

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Learning Single-Cell Distances from Cytometry Data.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 17, 2019
Recent years have seen an increased interest in employing data analysis techniques for the automated identification of cell populations in the field of cytometry. These techniques highly depend on the use of a distance metric, a function that quantif...
Flow Cytometry Microbiota Pattern Recognition, Automated Blood Cells Humans Single-Cell Analysis Machine Learning Algorithms Bacteria Cluster Analysis
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Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN.

IEEE journal of biomedical and health informatics Mar 18, 2019
Cell classification, especially that of white blood cells, plays a very important role in the field of diagnosis and control of major diseases. Compared to traditional optical microscopic imaging, hyperspectral imagery, combined with both spatial and...
Humans Neural Networks, Computer Microscopy Blood Cells Wavelet Analysis Algorithms Image Processing, Computer-Assisted Cytological Techniques
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Dry olive leaf extract attenuates DNA damage induced by estradiol and diethylstilbestrol in human peripheral blood cells in vitro.

Mutation research. Genetic toxicology and environmental mutagenesis Dec 21, 2018
Phenolic groups of steroidal or nonsteroidal estrogens can redox cycle, leading to oxidative stress, where creation of reactive oxygen species are recognized as the main mechanism of their DNA damage properties. Dry olive (Olea europaea L.) leaf extr...
Drug Evaluation, Preclinical Free Radical Scavengers Oxidative Stress Olea Estradiol Blood Cells Plant Leaves Comet Assay Antioxidants Oxidation-Reduction Diethylstilbestrol Young Adult Plant Extracts DNA Damage Adult Estrogen Antagonists Dose-Response Relationship, Drug Male Humans Reactive Oxygen Species Female
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Live remote digital microscopy in peripheral blood smear evaluation: Intraobserver concordance and experience.

International journal of laboratory hematology Aug 14, 2018
INTRODUCTION: Peripheral blood smear (PBS) review is a routine laboratory test which requires pathologist's interpretation when abnormal indices, atypical cells, or critical findings are identified. Real-time remote digital microscopy (DM) can potent...
Blood Cells Robotics Microscopy Observer Variation Humans Female Male Image Processing, Computer-Assisted
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RABiT-II: Implementation of a High-Throughput Micronucleus Biodosimetry Assay on Commercial Biotech Robotic Systems.

Radiation research Feb 23, 2017
We demonstrate the use of high-throughput biodosimetry platforms based on commercial high-throughput/high-content screening robotic systems. The cytokinesis-block micronucleus (CBMN) assay, using only 20 μl whole blood from a fingerstick, was impleme...
Micronucleus Tests Radiometry High-Throughput Screening Assays Calibration Blood Cells Middle Aged Humans Robotics Female Young Adult Adult Male
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Structured Pyramidal Neural Networks.

International journal of neural systems Feb 9, 2017
The Pyramidal Neural Networks (PNN) are an example of a successful recently proposed model inspired by the human visual system and deep learning theory. PNNs are applied to computer vision and based on the concept of receptive fields. This paper prop...
Neural Networks, Computer Female Male Time Factors ROC Curve Image Processing, Computer-Assisted Humans Visual Pathways Pattern Recognition, Automated Blood Cells Pyramidal Cells Support Vector Machine Models, Neurological Area Under Curve
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Enumerateblood - an R package to estimate the cellular composition of whole blood from Affymetrix Gene ST gene expression profiles.

BMC genomics Jan 6, 2017
BACKGROUND: Measuring genome-wide changes in transcript abundance in circulating peripheral whole blood is a useful way to study disease pathobiology and may help elucidate the molecular mechanisms of disease, or discovery of useful disease biomarker...
Humans Models, Statistical Machine Learning Blood Cells Gene Expression Profiling Genomics
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EB-YOLO:An efficient and lightweight blood cell detector based on the YOLO algorithm.

Computers in biology and medicine Jun 1, 2025
Blood cell detection is an important part of medical diagnosis. Object detection is trending for blood cell analysis, with research focusing on high-precision neural network models. However, these models have complex architectures and high computatio...
Humans Neural Networks, Computer Algorithms Blood Cells
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[Opportunities and expectations brought by artificial intelligence assisted peripheral blood cell morphology examination].

Zhonghua yi xue za zhi Aug 27, 2024
The morphological examination of blood cells under manual microscopes is a classic method, but the obvious shortcomings limit the extensive development of peripheral blood cell morphological examination. By using the manual microscope method, it is d...
Humans Artificial Intelligence Microscopy Blood Cells
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[Chinese expert consensus on the technical and clinical practice specifications of artificial intelligence assisted morphology examination of blood cells (2024)].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi Apr 14, 2024
Blood cell morphological examination is a crucial method for the diagnosis of blood diseases, but traditional manual microscopy is characterized by low efficiency and susceptibility to subjective biases. The application of artificial intelligence (AI...
Blood Cells Humans Algorithms Artificial Intelligence China Consensus
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