AIMC Topic: Microscopy

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A step towards intelligent EBSD microscopy: machine-learning prediction of twin activity in MgAZ31.

Journal of microscopy Aug 8, 2018
UNLABELLED: Although microscopy is often treated as a quasi-static exercise for obtaining a snapshot of events and structure, it is clear that a more dynamic approach, involving real-time decision making for guiding the investigation process, may pro...
Microscopy Alloys Stochastic Processes Magnesium Supervised Machine Learning
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Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 18, 2018
In this paper, we propose a novel contour-seed pairs learning-based framework for robust and automated cell/nucleus segmentation. Automated granular object segmentation in microscopy images has significant clinical importance for pathology grading of...
Humans Machine Learning Algorithms Cervix Uteri Cell Line Microscopy Female Animals Image Processing, Computer-Assisted Cell Nucleus Drosophila
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Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman-microscopy-based cytopathology.

Journal of biophotonics Jul 5, 2018
Hierarchical variants of so-called deep convolutional neural networks (DCNNs) have facilitated breakthrough results for numerous pattern recognition tasks in recent years. We assess the potential of these novel whole-image classifiers for Raman-micro...
Neural Networks, Computer Microscopy Urinalysis Humans Pathology
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An open-source tool for analysis and automatic identification of dendritic spines using machine learning.

PloS one Jul 5, 2018
Synaptic plasticity, the cellular basis for learning and memory, is mediated by a complex biochemical network of signaling proteins. These proteins are compartmentalized in dendritic spines, the tiny, bulbous, post-synaptic structures found on neuron...
Mice Algorithms Machine Learning Microscopy Neuronal Plasticity Animals Software Neurons Image Processing, Computer-Assisted Dendritic Spines
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Environmental properties of cells improve machine learning-based phenotype recognition accuracy.

Scientific reports Jul 4, 2018
To answer major questions of cell biology, it is often essential to understand the complex phenotypic composition of cellular systems precisely. Modern automated microscopes produce vast amounts of images routinely, making manual analysis nearly impo...
Cell Culture Techniques Algorithms Phenotype Humans Cellular Microenvironment Single-Cell Analysis Image Processing, Computer-Assisted Machine Learning Cluster Analysis Software Microscopy
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Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.

IEEE/ACM transactions on computational biology and bioinformatics May 29, 2018
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro...
Humans Microscopy Neovascularization, Pathologic Antineoplastic Agents Pattern Recognition, Automated Deep Learning Neural Networks, Computer Extracellular Matrix Image Processing, Computer-Assisted Cell Culture Techniques Neoplasms Drug Discovery
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Fine-grained leukocyte classification with deep residual learning for microscopic images.

Computer methods and programs in biomedicine May 22, 2018
BACKGROUND AND OBJECTIVE: Leukocyte classification and cytometry have wide applications in medical domain, previous researches usually exploit machine learning techniques to classify leukocytes automatically. However, constrained by the past developm...
Microscopy Pattern Recognition, Automated Support Vector Machine Models, Statistical Leukocytes Neural Networks, Computer Machine Learning Humans
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A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection.

IEEE transactions on nanobioscience May 22, 2018
Fungus is enormously notorious for food, human health, and archives. Fungus sign and symptoms in medical science are non-specific and asymmetrical for extremely large areas resulting into a challenging task of fungal detection. Various traditional an...
Deep Learning Image Processing, Computer-Assisted Fungi Neural Networks, Computer Microscopy Databases, Factual Spores, Fungal
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Neural network control of focal position during time-lapse microscopy of cells.

Scientific reports May 9, 2018
Live-cell microscopy is quickly becoming an indispensable technique for studying the dynamics of cellular processes. Maintaining the specimen in focus during image acquisition is crucial for high-throughput applications, especially for long experimen...
Microscopy Yeasts Neural Networks, Computer Software Time Factors Image Processing, Computer-Assisted
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MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.

Artificial intelligence in medicine Apr 26, 2018
MOTIVATION: Identifying carcinoma subtype can help to select appropriate treatment options and determining the subtype of benign lesions can be beneficial to estimate the patients' risk of developing cancer in the future. Pathologists' assessment of ...
Hematoxylin Reproducibility of Results Humans Breast Neoplasms Pattern Recognition, Automated Deep Learning Eosine Yellowish-(YS) Coloring Agents Databases, Factual Staining and Labeling Microscopy Female Predictive Value of Tests Image Interpretation, Computer-Assisted Biopsy
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