AIMC Topic: Microscopy, Confocal

Clear Filters Showing 51 to 60 of 113 articles

Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks.

Translational vision science & technology Jun 16, 2020
PURPOSE: To develop a neural network (NN)-based approach, with limited training resources, that identifies and counts the number of retinal pigment epithelium (RPE) cells in confocal microscopy images obtained from cell culture or mice RPE/choroid fl...
Mice Microscopy, Confocal Choroid Retinal Pigment Epithelium Neural Networks, Computer Animals
View on PubMed DOI

Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.

International journal of computer assisted radiology and surgery May 15, 2020
PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) enables performing an optical biopsy via a probe. pCLE probes consist of multiple optical fibres arranged in a bundle, which taken together generate signals in an irregularly sampled pattern. ...
Humans Neural Networks, Computer Signal-To-Noise Ratio Endoscopy Microscopy, Confocal Microsurgery
View on PubMed DOI

Machine learning-assisted neurotoxicity prediction in human midbrain organoids.

Parkinsonism & related disorders May 8, 2020
INTRODUCTION: Brain organoids are highly complex multi-cellular tissue proxies, which have recently risen as novel tools to study neurodegenerative diseases such as Parkinson's disease (PD). However, with increasing complexity of the system, usage of...
Organoids Mesencephalon Neurotoxicity Syndromes Induced Pluripotent Stem Cells Oxidopamine Humans Machine Learning Proof of Concept Study Dopaminergic Neurons Microscopy, Confocal Flow Cytometry
View on PubMed DOI

Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.

The British journal of ophthalmology May 6, 2020
BACKGROUND: Photographic diabetic retinopathy screening requires labour-intensive grading of retinal images by humans. Automated retinal image analysis software (ARIAS) could provide an alternative to human grading. We compare the performance of an A...
Humans Diabetic Retinopathy Diagnostic Tests, Routine False Positive Reactions Reference Standards Predictive Value of Tests Diagnostic Imaging Retina Reproducibility of Results Aged Sensitivity and Specificity Adult Cross-Sectional Studies Slit Lamp Microscopy Artificial Intelligence Middle Aged Male Algorithms Female Image Processing, Computer-Assisted Microscopy, Confocal
View on PubMed DOI

Machine-learning assisted confocal imaging of intracellular sites of triglycerides and cholesteryl esters formation and storage.

Analytica chimica acta May 3, 2020
All living systems are maintained by a constant flux of metabolic energy and, among the different reactions, the process of lipids storage and lipolysis is of fundamental importance. Current research has focused on the investigation of lipid droplets...
Endoplasmic Reticulum Triglycerides PC12 Cells Golgi Apparatus Animals Microscopy, Confocal Rats Oxazines Machine Learning Mitochondria Cholesterol Esters
View on PubMed DOI

Technological advances for the detection of melanoma: Advances in diagnostic techniques.

Journal of the American Academy of Dermatology Apr 26, 2020
Managing the balance between accurately identifying early stage melanomas while avoiding obtaining biopsy specimens of benign lesions (ie, overbiopsy) is the major challenge of melanoma detection. Decision making can be especially difficult in patien...
Imaging, Three-Dimensional Microscopy, Confocal Biomedical Technology Dielectric Spectroscopy Photography Melanoma Skin Neoplasms Humans Dermoscopy Machine Learning
View on PubMed DOI

Classifying changes in LN-18 glial cell morphology: a supervised machine learning approach to analyzing cell microscopy data via FIJI and WEKA.

Medical & biological engineering & computing Apr 21, 2020
In cell-based research, the process of visually monitoring cells generates large image datasets that need to be evaluated for quantifiable information in order to track the effectiveness of treatments in vitro. With the traditional, end-point assay-b...
Humans Neuroglia Area Under Curve Bayes Theorem Supervised Machine Learning Cells, Cultured Image Processing, Computer-Assisted Microscopy, Confocal
View on PubMed DOI

Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 24, 2020
Barrett cancer is a treatable disease when detected at an early stage. However, current screening protocols are often not effective at finding the disease early. Volumetric Laser Endomicroscopy (VLE) is a promising new imaging tool for finding dyspla...
Precancerous Conditions Esophageal Neoplasms Deep Learning Barrett Esophagus Microscopy, Confocal Image Enhancement Early Detection of Cancer Humans
View on PubMed DOI

Machine Learning-Based Classification of the Health State of Mice Colon in Cancer Study from Confocal Laser Endomicroscopy.

Scientific reports Dec 27, 2019
In this article, we address the problem of the classification of the health state of the colon's wall of mice, possibly injured by cancer with machine learning approaches. This problem is essential for translational research on cancer and is a priori...
Animals Microscopy, Confocal Neural Networks, Computer Colon Machine Learning Mice Algorithms
View on PubMed DOI

Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy.

The Journal of investigative dermatology Dec 12, 2019
In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions' morphological and cytological information in epidermal and dermal layers while reducing the need for biopsies. As RCM is being adopted more widely, the workflow is e...
Skin Diseases Quality Control Diagnosis, Differential Skin Humans Dermoscopy Feasibility Studies Machine Learning Image Processing, Computer-Assisted Microscopy, Confocal
View on PubMed DOI
Popular Topics
Recent Journals