AIMC Topic: Microscopy

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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...
Microscopy Urinalysis Pathology Humans Neural Networks, Computer
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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 Microscopy Machine Learning Neuronal Plasticity Animals Software Dendritic Spines Neurons Image Processing, Computer-Assisted
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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...
Cluster Analysis Microscopy Cell Culture Techniques Humans Phenotype Cellular Microenvironment Machine Learning Single-Cell Analysis Software Image Processing, Computer-Assisted Algorithms
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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...
Pattern Recognition, Automated Cell Culture Techniques Microscopy Neovascularization, Pathologic Extracellular Matrix Neural Networks, Computer Neoplasms Drug Discovery Antineoplastic Agents Deep Learning Image Processing, Computer-Assisted Humans
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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...
Humans Models, Statistical Leukocytes Microscopy Neural Networks, Computer Machine Learning Support Vector Machine Pattern Recognition, Automated
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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...
Microscopy Spores, Fungal Image Processing, Computer-Assisted Fungi Neural Networks, Computer Databases, Factual Deep Learning
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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 Software Time Factors Neural Networks, Computer 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 Pattern Recognition, Automated Coloring Agents Databases, Factual Staining and Labeling Breast Neoplasms Eosine Yellowish-(YS) Microscopy Predictive Value of Tests Deep Learning Image Interpretation, Computer-Assisted Female Biopsy
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Segmentation of corneal endothelium images using a U-Net-based convolutional neural network.

Artificial intelligence in medicine Apr 19, 2018
Diagnostic information regarding the health status of the corneal endothelium may be obtained by analyzing the size and the shape of the endothelial cells in specular microscopy images. Prior to the analysis, the endothelial cells need to be extracte...
Databases, Factual Reproducibility of Results Predictive Value of Tests Microscopy Image Interpretation, Computer-Assisted Endothelial Cells Cell Shape Cell Size Humans Endothelium, Corneal Neural Networks, Computer
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Deep learning massively accelerates super-resolution localization microscopy.

Nature biotechnology Apr 16, 2018
The speed of super-resolution microscopy methods based on single-molecule localization, for example, PALM and STORM, is limited by the need to record many thousands of frames with a small number of observed molecules in each. Here, we present ANNA-PA...
Microscopy, Fluorescence Nanotechnology Neural Networks, Computer Microscopy Algorithms Deep Learning
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