AIMC Topic: Microscopy

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Evaluation and development of deep neural networks for image super-resolution in optical microscopy.

Nature methods Jan 21, 2021
Deep neural networks have enabled astonishing transformations from low-resolution (LR) to super-resolved images. However, whether, and under what imaging conditions, such deep-learning models outperform super-resolution (SR) microscopy is poorly expl...
Neural Networks, Computer Image Processing, Computer-Assisted Microscopy Datasets as Topic
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Robust Mosaicing of Endomicroscopic Videos via Context-Weighted Correlation Ratio.

IEEE transactions on bio-medical engineering Jan 20, 2021
Probe-based confocal laser endomicroscopy (pCLE) is a promising imaging tool that provides in situ and in vivo optical imaging to perform real-time pathological assessments. However, due to limited field of view, it is difficult for clinicians to get...
Endoscopy Robotics Microscopy
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Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label-Free Multiphoton Microscopy Using Convolutional Neural Networks.

Lasers in surgery and medicine Jan 13, 2021
BACKGROUND AND OBJECTIVES: Histological analysis is a gold standard technique for studying impaired skin wound healing. Label-free multiphoton microscopy (MPM) can provide natural image contrast similar to histological sections and quantitative metab...
Image Processing, Computer-Assisted Neural Networks, Computer Mice Biomarkers Wound Healing Microscopy Animals
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Light microscopic iris classification using ensemble multi-class support vector machine.

Microscopy research and technique Jan 12, 2021
Similar to other biometric systems such as fingerprint, face, DNA, iris classification could assist law enforcement agencies in identifying humans. Iris classification technology helps law-enforcement agencies to recognize humans by matching their ir...
Iris Support Vector Machine Microscopy Humans Algorithms
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A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 12, 2021
Accurate and early diagnosis is critical to proper malaria treatment and hence death prevention. Several computer vision technologies have emerged in recent years as alternatives to traditional microscopy and rapid diagnostic tests. In this work, we ...
Humans Microscopy Neural Networks, Computer Deep Learning Malaria
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Quantitative analysis of blood cells from microscopic images using convolutional neural network.

Medical & biological engineering & computing Jan 1, 2021
Blood cell count provides relevant clinical information about different kinds of disorders. Any deviation in the number of blood cells implies the presence of infection, inflammation, edema, bleeding, and other blood-related issues. Current microscop...
Neural Networks, Computer Microscopy Image Processing, Computer-Assisted Blood Cells Erythrocyte Count
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Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology.

Toxicologic pathology Dec 29, 2020
Digital tissue image analysis is a computational method for analyzing whole-slide images and extracting large, complex, and quantitative data sets. However, as with any analysis method, the quality of generated results is dependent on a well-designed...
Image Processing, Computer-Assisted Microscopy Image Interpretation, Computer-Assisted Artificial Intelligence Software Humans
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A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 9, 2020
Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat in hepatocytes with concurrent inflammation and is associated with morbidity, cirrhosis and liver failure. After extraction of a liver core biopsy, tis...
Methyl Green Eosine Yellowish-(YS) Hematoxylin Adult Male Middle Aged Severity of Illness Index Adolescent Decision Support Techniques Biopsy Aged Retrospective Studies Non-alcoholic Fatty Liver Disease Liver Cirrhosis Aged, 80 and over Humans Clinical Decision-Making Coloring Agents Liver Young Adult Female Child Microscopy Neural Networks, Computer Predictive Value of Tests Staining and Labeling Software Reproducibility of Results Azo Compounds Image Interpretation, Computer-Assisted
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Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy.

PloS one Dec 8, 2020
The accurate segmentation and tracking of cells in microscopy image sequences is an important task in biomedical research, e.g., for studying the development of tissues, organs or entire organisms. However, the segmentation of touching cells in image...
Microscopy Algorithms Humans HeLa Cells Optical Imaging Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Cell Tracking
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The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.

Mycoses Dec 7, 2020
BACKGROUND: Light microscopy to study the infection of fungi in skin specimens is time-consuming and requires automation.
Nails Hair Fungi Microscopy Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Skin Humans Automation, Laboratory
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