AIMC Topic: Microscopy

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A Curvature-Enhanced Random Walker Segmentation Method for Detailed Capture of 3D Cell Surface Membranes.

IEEE transactions on medical imaging Feb 2, 2021
High-resolution 3D microscopy is a fast advancing field and requires new techniques in image analysis to handle these new datasets. In this work, we focus on detailed 3D segmentation of Dictyostelium cells undergoing macropinocytosis captured on an i...
Image Processing, Computer-Assisted Microscopy Dictyostelium Neural Networks, Computer Imaging, Three-Dimensional
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Deep Learning for Imaging and Detection of Microorganisms.

Trends in microbiology Jan 30, 2021
Despite tremendous recent interest, the application of deep learning in microbiology has still not reached its full potential. To tackle the challenges faced by human-operated microscopy, deep-learning-based methods have been proposed for microscopic...
Humans Communicable Diseases Image Processing, Computer-Assisted Microscopy Deep Learning
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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...
Microscopy Datasets as Topic Neural Networks, Computer Image Processing, Computer-Assisted
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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...
Neural Networks, Computer Image Processing, Computer-Assisted Mice Wound Healing Biomarkers Animals Microscopy
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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...
Microscopy Algorithms Iris Support Vector Machine Humans
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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 ...
Malaria Microscopy Neural Networks, Computer Deep Learning Humans
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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...
Blood Cells Erythrocyte Count Image Processing, Computer-Assisted Microscopy Neural Networks, Computer
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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...
Microscopy Image Interpretation, Computer-Assisted Humans Software Artificial Intelligence Image Processing, Computer-Assisted
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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...
Child Staining and Labeling Clinical Decision-Making Liver Image Interpretation, Computer-Assisted Severity of Illness Index Female Eosine Yellowish-(YS) Predictive Value of Tests Adolescent Male Decision Support Techniques Methyl Green Liver Cirrhosis Middle Aged Aged, 80 and over Retrospective Studies Neural Networks, Computer Hematoxylin Coloring Agents Young Adult Reproducibility of Results Software Humans Biopsy Microscopy Adult Aged Azo Compounds Non-alcoholic Fatty Liver Disease
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