AIMC Topic: Microscopy

Clear Filters Showing 421 to 430 of 597 articles

Deep Learning in Image Cytometry: A Review.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Dec 19, 2018
Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media. In this review, we focus on deep learning and how it is ap...
Deep Learning Image Processing, Computer-Assisted Microscopy Image Cytometry Artificial Intelligence Machine Learning Animals Humans Neural Networks, Computer
View on PubMed DOI

Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot study.

Head & neck Dec 12, 2018
BACKGROUND: A fully convolutional neural networks (FCN)-based automated image analysis algorithm to discriminate between head and neck cancer and noncancerous epithelium based on nonlinear microscopic images was developed.
Prospective Studies Carcinoma, Squamous Cell Fluorescence Pilot Projects Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Discriminant Analysis Spectrum Analysis, Raman Epithelium Head and Neck Neoplasms Microscopy
View on PubMed DOI

Morphometric analysis of peripheral myelinated nerve fibers through deep learning.

Journal of the peripheral nervous system : JPNS Dec 11, 2018
Irrespective of initial causes of neurological diseases, these disorders usually exhibit two key pathological changes-axonal loss or demyelination or a mixture of the two. Therefore, vigorous quantification of myelin and axons is essential in studyin...
Animals Deep Learning Microscopy Axons Pattern Recognition, Automated Nerve Fibers, Myelinated Mice Mice, Inbred C57BL Mice, Knockout
View on PubMed DOI

Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.

IEEE transactions on medical imaging Dec 7, 2018
Automatic event detection in cell videos is essential for monitoring cell populations in biomedicine. Deep learning methods have advantages over traditional approaches for cell event detection due to their ability to capture more discriminative featu...
Pattern Recognition, Automated Neural Networks, Computer Aorta Cells, Cultured Microscopy Animals Unsupervised Machine Learning Cattle Cytological Techniques Molecular Imaging Image Processing, Computer-Assisted Video Recording
View on PubMed DOI

Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning.

IEEE journal of biomedical and health informatics Oct 31, 2018
Recent advances in ultra-high-throughput microscopy have enabled a new generation of cell classification methodologies using image-based cell phenotypes alone. In contrast to current single-cell analysis techniques that rely solely on slow and costly...
Cytological Techniques Microscopy Cells Databases, Factual Deep Learning Image Processing, Computer-Assisted Humans Algorithms
View on PubMed DOI

Acquisition and reconstruction of 4D surfaces of axolotl embryos with the flipping stage robotic microscope.

Bio Systems Oct 25, 2018
We have designed and constructed a Flipping Stage for a light microscope that can view the whole exterior surface of a 2 mm diameter developing axolotl salamander embryo. It works by rapidly inverting the bottom-heavy embryo, imaging it as it rights ...
Embryonic Development Cell Movement Tissue Engineering Robotics Embryo, Nonmammalian Ambystoma mexicanum Cell Differentiation Animals Neural Plate Image Processing, Computer-Assisted Microscopy Microscopy, Confocal
View on PubMed DOI

Chemical crystal identification with deep learning machine vision.

BMC research notes Oct 5, 2018
OBJECTIVE: This study was carried out with the purpose of testing the ability of deep learning machine vision to identify microscopic objects and geometries found in chemical crystal structures.
Deep Learning Image Processing, Computer-Assisted Microscopy Pattern Recognition, Automated Agrochemicals
View on PubMed DOI

Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

American journal of physiology. Renal physiology Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Mice, Transgenic Male Humans Biopsy Workflow Female Diagnosis, Computer-Assisted Automation, Laboratory Image Interpretation, Computer-Assisted Machine Learning Kidney Glomerulus Rats Reproducibility of Results Phenotype Pattern Recognition, Automated Software Microscopy Mice, Inbred C57BL Disease Models, Animal Species Specificity Animals Kidney Diseases Predictive Value of Tests
View on PubMed DOI

The application of convolution neural network based cell segmentation during cryopreservation.

Cryobiology Sep 13, 2018
For most of the cells, water permeability and plasma membrane properties play a vital role in the optimal protocol for successful cryopreservation. Measuring the water permeability of cells during subzero temperature is essential. So far, there is no...
Algorithms Image Processing, Computer-Assisted Cryopreservation Freezing Ice Humans Microscopy Neural Networks, Computer HeLa Cells
View on PubMed DOI

Live remote digital microscopy in peripheral blood smear evaluation: Intraobserver concordance and experience.

International journal of laboratory hematology Aug 14, 2018
INTRODUCTION: Peripheral blood smear (PBS) review is a routine laboratory test which requires pathologist's interpretation when abnormal indices, atypical cells, or critical findings are identified. Real-time remote digital microscopy (DM) can potent...
Observer Variation Blood Cells Image Processing, Computer-Assisted Robotics Microscopy Humans Female Male
View on PubMed DOI
Popular Topics
Recent Journals