AIMC Topic: Leukocytes
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Thousands of induced germline mutations affecting immune cells identified by automated meiotic mapping coupled with machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Jul 13, 2021
Forward genetic studies use meiotic mapping to adduce evidence that a particular mutation, normally induced by a germline mutagen, is causative of a particular phenotype. Particularly in small pedigrees, cosegregation of multiple mutations, occasiona...
Leukocyte super-resolution via geometry prior and structural consistency.
Journal of biomedical optics
Oct 1, 2020
SIGNIFICANCE: Researchers have made great progress in single-image super-resolution (SISR) using deep convolutional neural networks. However, in the field of leukocyte imaging, the performance of existing SISR methods is still limited as it fails to ...
[Detection of white blood cells in microscopic leucorrhea images based on deep active learning].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Jun 25, 2020
The number of white blood cells in the leucorrhea microscopic image can indicate the severity of vaginal inflammation. At present, the detection of white blood cells in leucorrhea mainly relies on manual microscopy by medical experts, which is time-c...
Deep into Patient care: An automated deep learning approach for reshaping patient care in clinical setting.
Computer methods and programs in biomedicine
Jan 1, 2019
Leukocyte recognition in human fecal samples using texture features.
Journal of the Optical Society of America. A, Optics, image science, and vision
Nov 1, 2018
Unlike urine or blood samples with a single background, human fecal samples contain large amounts of food debris, amorphous particles, and undigested plant cells. It is difficult to segment such impurities when mixed with leukocytes. Cell degradation...
Automated cell type discovery and classification through knowledge transfer.
Bioinformatics (Oxford, England)
Jun 1, 2017
MOTIVATION: Recent advances in mass cytometry allow simultaneous measurements of up to 50 markers at single-cell resolution. However, the high dimensionality of mass cytometry data introduces computational challenges for automated data analysis and h...
The effect of Intravenous Immunoglobulin (IVIG) on \textit{ex vivo} activation of human leukocytes.
Human antibodies
Jan 1, 2016
INTRODUCTION: Intravenous immunoglobulin (IVIG) has been widely used to treat various conditions, including inflammatory and autoimmune diseases. IVIG has been shown to have a direct influence on neutrophils, eosinophils and lymphocytes. However, man...
Fast particle characterization using digital holography and neural networks.
Applied optics
Jan 1, 2016
We propose using a neural network approach in conjunction with digital holographic microscopy in order to rapidly determine relevant parameters such as the core and shell diameter of coated, non-absorbing spheres. We do so without requiring a time-co...
Sequence based human leukocyte antigen gene prediction using informative physicochemical properties.
International journal of data mining and bioinformatics
Jan 1, 2015
Prediction of different classes within the human leukocyte antigen (HLA) gene family can provide insight into the human immune system and its response to viral pathogens. Therefore, it is desirable to develop an efficient and easily interpretable met...
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