AIMC Topic: Microscopy

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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
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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...
Aorta Cells, Cultured Neural Networks, Computer Molecular Imaging Animals Image Processing, Computer-Assisted Cytological Techniques Video Recording Cattle Microscopy Unsupervised Machine Learning Pattern Recognition, Automated
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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...
Humans Image Processing, Computer-Assisted Cytological Techniques Microscopy Cells Algorithms Databases, Factual Deep Learning
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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 ...
Ambystoma mexicanum Neural Plate Embryonic Development Tissue Engineering Embryo, Nonmammalian Image Processing, Computer-Assisted Microscopy, Confocal Cell Movement Robotics Cell Differentiation Microscopy Animals
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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.
Pattern Recognition, Automated Agrochemicals Deep Learning Image Processing, Computer-Assisted Microscopy
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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...
Animals Male Diagnosis, Computer-Assisted Mice, Inbred C57BL Kidney Diseases Rats Disease Models, Animal Pattern Recognition, Automated Phenotype Species Specificity Female Kidney Glomerulus Mice, Transgenic Reproducibility of Results Machine Learning Humans Microscopy Predictive Value of Tests Software Image Interpretation, Computer-Assisted Biopsy Automation, Laboratory Workflow
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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...
Freezing Ice Cryopreservation Microscopy HeLa Cells Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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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...
Robotics Microscopy Observer Variation Female Male Humans Image Processing, Computer-Assisted Blood Cells
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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...
Cervix Uteri Female Cell Nucleus Animals Cell Line Humans Drosophila Image Processing, Computer-Assisted Microscopy Machine Learning Algorithms
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