AIMC Topic: Microscopy

Clear Filters Showing 371 to 380 of 597 articles

Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks.

Applied microbiology and biotechnology Feb 12, 2020
Foodborne pathogens have become ongoing threats in the food industry, whereas their rapid detection and classification at an early stage are still challenging. To address early and rapid detection, hyperspectral microscope imaging (HMI) technology co...
Machine Learning Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Microscopy Food Microbiology Spectrum Analysis Foodborne Diseases Bacterial Typing Techniques
View on PubMed DOI

Visual Servoed Robotic Mouse Oocyte Rotation.

IEEE transactions on bio-medical engineering Dec 23, 2019
UNLABELLED: Both injection and biopsy of a mammalian cell require positioning and orientation of a biological cell in a three-dimensional space under a microscope. Manual cell manipulation and orientation is the most commonly used method that is base...
Microscopy Oocytes Robotic Surgical Procedures Rotation Mice Animals Robotics
View on PubMed DOI

Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Disease Models, Animal Liver Mice Rats Non-alcoholic Fatty Liver Disease Microscopy Datasets as Topic Biopsy Feasibility Studies Humans Animals Deep Learning Image Processing, Computer-Assisted Severity of Illness Index
View on PubMed DOI

Epithelium segmentation and automated Gleason grading of prostate cancer via deep learning in label-free multiphoton microscopic images.

Journal of biophotonics Dec 4, 2019
In the current clinical care practice, Gleason grading system is one of the most powerful prognostic predictors for prostate cancer (PCa). The grading system is based on the architectural pattern of cancerous epithelium in histological images. Howeve...
Male Microscopy Deep Learning Prostatic Neoplasms Neoplasm Grading Humans Epithelium
View on PubMed DOI

ImageDataExtractor: A Tool To Extract and Quantify Data from Microscopy Images.

Journal of chemical information and modeling Dec 3, 2019
The rise of data science is leading to new paradigms in data-driven materials discovery. This carries an essential notion that large data sources containing chemical structure and property information can be mined in a fashion that detects and exploi...
Microscopy Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

Human peripheral blood leukocyte classification method based on convolutional neural network and data augmentation.

Medical physics Nov 22, 2019
PURPOSE: Human peripheral blood leukocytes' classification is important for diagnosing blood diseases. Many microscopic leukocyte image automatic detection methods are proposed. In recent years, convolutional neural networks (CNNs) are applied to mic...
Leukocytes Microscopy Humans Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides.

JAMA network open Nov 1, 2019
IMPORTANCE: Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown pro...
Deep Learning Adenocarcinoma Esophageal Neoplasms Microscopy Biopsy Datasets as Topic Barrett Esophagus Neural Networks, Computer Computer Simulation Humans
View on PubMed DOI

Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image.

Journal of medical systems Oct 23, 2019
Urine sediment recognition is attracting growing interest in the field of computer vision. A multi-view urine cell recognition method based on multi-view deep residual learning is proposed to solve some existing problems, such as multi-view cell gray...
Urinalysis Humans Deep Learning Image Processing, Computer-Assisted Microscopy Pattern Recognition, Automated
View on PubMed DOI

Cell Type Classification and Unsupervised Morphological Phenotyping From Low-Resolution Images Using Deep Learning.

Scientific reports Sep 17, 2019
Convolutional neural networks (ConvNets) have proven to be successful in both the classification and semantic segmentation of cell images. Here we establish a method for cell type classification utilizing images taken with a benchtop microscope direc...
Single-Cell Analysis Models, Theoretical Phenotype Neural Networks, Computer Organ Specificity Deep Learning Microscopy Algorithms Cell Tracking
View on PubMed DOI

Towards pixel-to-pixel deep nucleus detection in microscopy images.

BMC bioinformatics Sep 14, 2019
BACKGROUND: Nucleus is a fundamental task in microscopy image analysis and supports many other quantitative studies such as object counting, segmentation, tracking, etc. Deep neural networks are emerging as a powerful tool for biomedical image comput...
Microscopy Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals