AIMC Topic: Microscopy, Confocal

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Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.

Cornea May 1, 2021
PURPOSE: To characterize corneal subbasal nerve plexus features of normal and simian immunodeficiency virus (SIV)-infected macaques by combining in vivo corneal confocal microscopy (IVCM) with automated assessments using deep learning-based methods c...
Middle Aged Deep Learning Real-Time Polymerase Chain Reaction Microscopy, Confocal Disease Models, Animal Female Cornea Animals Male Eye Infections, Viral Macaca nemestrina Simian Acquired Immunodeficiency Syndrome Simian Immunodeficiency Virus Trigeminal Nerve Diseases Acute Disease RNA, Viral Nerve Fibers Macaca mulatta Humans Neural Networks, Computer
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Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy.

Cornea Jun 1, 2020
PURPOSE: To evaluate the ability of deep learning (DL) models to detect obstructive meibomian gland dysfunction (MGD) using in vivo laser confocal microscopy images.
Humans Neural Networks, Computer Retrospective Studies Child ROC Curve Microscopy, Confocal Adult Female Follow-Up Studies Male Constriction, Pathologic Aged Middle Aged Aged, 80 and over Deep Learning Meibomian Glands Young Adult Adolescent Meibomian Gland Dysfunction
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A reference library for assigning protein subcellular localizations by image-based machine learning.

The Journal of cell biology Mar 2, 2020
Confocal micrographs of EGFP fusion proteins localized at key cell organelles in murine and human cells were acquired for use as subcellular localization landmarks. For each of the respective 789,011 and 523,319 optically validated cell images, morph...
Secretory Pathway Organelles Microscopy, Confocal Cell Line Epithelial Cells Mutation Pattern Recognition, Automated Reference Standards Protein Transport Green Fluorescent Proteins Recombinant Fusion Proteins Machine Learning Animals Image Processing, Computer-Assisted Mice Humans
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Female Reproducibility of Results Cornea Male Middle Aged Humans Algorithms Corneal Diseases Ophthalmic Nerve Deep Learning Microscopy, Confocal Nerve Fibers Diabetic Neuropathies
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CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: This article presents a novel method of semisupervised learning using convolutional autoencoders for optical endomicroscopic images. Optical endomicroscopy (OE) is a newly emerged biomedical imaging modality that can support real-time clin...
Datasets as Topic Barrett Esophagus Esophagoscopy Humans Algorithms Diagnosis, Computer-Assisted Microscopy, Confocal Esophagus Supervised Machine Learning
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Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites.

Neuroinformatics Oct 1, 2019
Tracing neurites constitutes the core of neuronal morphology reconstruction, a key step toward neuronal circuit mapping. Modern optical-imaging techniques allow observation of nearly complete mouse neuron morphologies across brain regions or even the...
Automation Neurites Animals Brain Chemistry Image Processing, Computer-Assisted Algorithms Mice Brain Microscopy, Confocal Support Vector Machine
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Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We propose an approach based on a convolutional neural network to classify skin lesions using the reflectance confocal microscopy (RCM) mosaics. Skin cancers are the most common type of cancers and a correct, early diagnosis significantly lowers both...
Humans Neural Networks, Computer Melanoma Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Sensitivity and Specificity Microscopy, Confocal Nevus, Pigmented
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Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?

European journal of dermatology : EJD Apr 1, 2019
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and dermoscopic inspection of a lesion. Diagnostic tools such as the different types of dermoscopy, confocal microscopy and optical coherence tomography (OCT)...
Humans Dermatology Neural Networks, Computer Deep Learning Melanocytes Artificial Intelligence Melanoma Image Processing, Computer-Assisted Algorithms Skin Neoplasms Microscopy, Confocal Dermoscopy Tomography, Optical Coherence Sensitivity and Specificity Skin
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Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Calcium spiking can be used for drug screening studies in pharmaceutical industries. However, performing experiments for multiple drugs and doses are highly expensive. The oscillatory behavior of calcium spiking data demonstrates extreme nonlinearity...
Neurons Hippocampus Calcium Signaling Neural Networks, Computer Data Science Algorithms Microscopy, Confocal Animals Rats Fluorescence Drug Evaluation, Preclinical
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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity.

Journal of glaucoma Jul 1, 2018
PURPOSE: To evaluate the accuracy of detecting glaucoma visual field defect severity using deep-learning (DL) classifier with an ultrawide-field scanning laser ophthalmoscope.
Male Middle Aged Severity of Illness Index Deep Learning Microscopy, Confocal Humans Adult Glaucoma Sensitivity and Specificity Retrospective Studies Cross-Sectional Studies Female Ophthalmoscopes Intraocular Pressure Vision Disorders Reproducibility of Results Image Interpretation, Computer-Assisted Aged Visual Fields Visual Field Tests
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