AIMC Topic: Microscopy

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Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation.

Stem cell reports Mar 14, 2019
Deep learning is a significant step forward for developing autonomous tasks. One of its branches, computer vision, allows image recognition with high accuracy thanks to the use of convolutional neural networks (CNNs). Our goal was to train a CNN with...
Cell Differentiation Microscopy Pluripotent Stem Cells Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Cells, Cultured
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Deep learning-based super-resolution in coherent imaging systems.

Scientific reports Mar 8, 2019
We present a deep learning framework based on a generative adversarial network (GAN) to perform super-resolution in coherent imaging systems. We demonstrate that this framework can enhance the resolution of both pixel size-limited and diffraction-lim...
Female Lung Deep Learning Humans Neural Networks, Computer Software Holography Equipment Design Microscopy Image Enhancement Papanicolaou Test Vaginal Smears
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Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.

Journal of chemical information and modeling Mar 6, 2019
Predicting the outcome of biological assays based on high-throughput imaging data is a highly promising task in drug discovery since it can tremendously increase hit rates and suggest novel chemical scaffolds. However, end-to-end learning with convol...
Neural Networks, Computer Image Processing, Computer-Assisted Computational Biology Biological Assay Microscopy
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Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.

Scientific reports Mar 5, 2019
Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility, is considered to be the main determinant of men's reproductive health. Therefore, sperm cell selection is vital in assisted reproductive technology ...
Hydrogen Peroxide Oxidative Stress Image Processing, Computer-Assisted Humans Machine Learning Male Spermatozoa Microscopy Holography Cell Movement Dose-Response Relationship, Drug Semen Analysis
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Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images.

PloS one Feb 27, 2019
Tuberculosis is an infectious disease that causes ill health and death in millions of people each year worldwide. Timely diagnosis and treatment is key to full patient recovery. The Microscopic Observed Drug Susceptibility (MODS) is a test to diagnos...
Microscopy Automation Image Processing, Computer-Assisted Antitubercular Agents Tuberculosis Humans Neural Networks, Computer
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Bone Marrow Cells Detection: A Technique for the Microscopic Image Analysis.

Journal of medical systems Feb 23, 2019
In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) is an important parameter for the evaluation. In this study, we propose a new counting method, which consists of three modules including localization,...
Support Vector Machine Color Bone Marrow Cells Microscopy Humans Pattern Recognition, Automated Algorithms Cell Nucleus Image Processing, Computer-Assisted
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Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.

IEEE transactions on bio-medical engineering Feb 22, 2019
OBJECTIVE: Nucleus recognition is a critical yet challenging step in histopathology image analysis, for example, in Ki67 immunohistochemistry stained images. Although many automated methods have been proposed, most use a multi-stage processing pipeli...
Pancreatic Neoplasms Supervised Machine Learning Microscopy Image Interpretation, Computer-Assisted Cell Nucleus Immunohistochemistry Neural Networks, Computer Algorithms Databases, Factual Humans Neuroendocrine Tumors Ki-67 Antigen
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An effective and accurate identification system of Mycobacterium tuberculosis using convolution neural networks.

Microscopy research and technique Feb 11, 2019
Tuberculosis (TB) remains the leading cause of morbidity and mortality from infectious disease in developing countries. The sputum smear microscopy remains the primary diagnostic laboratory test. However, microscopic examination is always time-consum...
Tuberculosis, Pulmonary Mycobacterium tuberculosis Image Processing, Computer-Assisted Sputum Microscopy Humans Neural Networks, Computer
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Detection of Extended-Spectrum β-Lactamase-Producing Escherichia coli Using Infrared Microscopy and Machine-Learning Algorithms.

Analytical chemistry Jan 25, 2019
The spread of multidrug resistant bacteria has become a global concern. One of the most important and emergent classes of multidrug-resistant bacteria is extended-spectrum β-lactamase-producing bacteria (ESBL-positive = ESBL). Due to widespread and c...
Infrared Rays Machine Learning Spectroscopy, Fourier Transform Infrared Uropathogenic Escherichia coli beta-Lactamases Microscopy
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Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images.

Genetic epidemiology Jan 4, 2019
Single-cell microscopy image analysis has proved invaluable in protein subcellular localization for inferring gene/protein function. Fluorescent-tagged proteins across cellular compartments are tracked and imaged in response to genetic or environment...
Subcellular Fractions Neural Networks, Computer Algorithms Deep Learning Microscopy Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Image Processing, Computer-Assisted Models, Genetic Sample Size
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