AIMC Topic: Microscopy

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Construction of a system using a deep learning algorithm to count cell numbers in nanoliter wells for viable single-cell experiments.

Scientific reports Dec 4, 2017
For single-cell experiments, it is important to accurately count the number of viable cells in a nanoliter well. We used a deep learning-based convolutional neural network (CNN) on a large amount of digital data obtained as microscopic images. The tr...
Humans Neural Networks, Computer Cell Count Microscopy Image Interpretation, Computer-Assisted Deep Learning Single-Cell Analysis Cell Line
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Deep Learning in Microscopy Image Analysis: A Survey.

IEEE transactions on neural networks and learning systems Nov 22, 2017
Computerized microscopy image analysis plays an important role in computer aided diagnosis and prognosis. Machine learning techniques have powered many aspects of medical investigation and clinical practice. Recently, deep learning is emerging as a l...
Diagnosis, Computer-Assisted Algorithms Humans Deep Learning Image Processing, Computer-Assisted Female Neural Networks, Computer Surveys and Questionnaires Microscopy Male
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A deep convolutional neural network for classification of red blood cells in sickle cell anemia.

PLoS computational biology Oct 19, 2017
Sickle cell disease (SCD) is a hematological disorder leading to blood vessel occlusion accompanied by painful episodes and even death. Red blood cells (RBCs) of SCD patients have diverse shapes that reveal important biomechanical and bio-rheological...
Pattern Recognition, Automated Humans Neural Networks, Computer Anemia, Sickle Cell Computational Biology Image Interpretation, Computer-Assisted Microscopy Erythrocytes
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A dictionary learning approach for human sperm heads classification.

Computers in biology and medicine Oct 10, 2017
BACKGROUND AND OBJECTIVE: To diagnose infertility in men, semen analysis is conducted in which sperm morphology is one of the factors that are evaluated. Since manual assessment of sperm morphology is time-consuming and subjective, automatic classifi...
Algorithms Male Humans Microscopy Image Interpretation, Computer-Assisted Machine Learning Sperm Head
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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

Scientific reports Sep 20, 2017
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late ...
Automation, Laboratory Carcinoma, Squamous Cell Endoscopy Humans Mouth Neoplasms Mouth Microscopy Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted
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Identification and segmentation of myelinated nerve fibers in a cross-sectional optical microscopic image using a deep learning model.

Journal of neuroscience methods Aug 31, 2017
BACKGROUND: The morphometric analysis of myelinated nerve fibers of peripheral nerves in cross-sectional optical microscopic images is valuable. Several automated methods for nerve fiber identification and segmentation have been reported. This paper ...
Adolescent Image Processing, Computer-Assisted Biopsy Microscopy Pattern Recognition, Automated Sural Nerve Adult Male Middle Aged Female Aged Humans Machine Learning Nerve Fibers, Myelinated
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A Method Based on Artificial Intelligence To Fully Automatize The Evaluation of Bovine Blastocyst Images.

Scientific reports Aug 9, 2017
Morphological analysis is the standard method of assessing embryo quality; however, its inherent subjectivity tends to generate discrepancies among evaluators. Using genetic algorithms and artificial neural networks (ANNs), we developed a new method ...
Microscopy Animals Cattle ROC Curve Image Processing, Computer-Assisted Embryo Transfer Blastocyst Algorithms Neural Networks, Computer Automation, Laboratory Artificial Intelligence Female
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Holographic deep learning for rapid optical screening of anthrax spores.

Science advances Aug 4, 2017
Establishing early warning systems for anthrax attacks is crucial in biodefense. Despite numerous studies for decades, the limited sensitivity of conventional biochemical methods essentially requires preprocessing steps and thus has limitations to be...
Image Processing, Computer-Assisted Microscopy Spores, Bacterial Holography Data Analysis Humans Algorithms Bacillus anthracis Machine Learning Deep Learning Anthrax
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Holography, machine learning, and cancer cells.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 24, 2017
Holography Machine Learning Microscopy
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Endomicroscopy for Computer and Robot Assisted Intervention.

IEEE reviews in biomedical engineering Mar 22, 2017
Endomicroscopy is a new technique that allows human tissue to be characterized in vivo and in situ, circumventing the need for conventional biopsy and histology. Despite increased application and growing research interests in this area, the clinical ...
Robotics Computers Miniaturization Humans Imaging, Three-Dimensional Minimally Invasive Surgical Procedures Microscopy
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