AIMC Topic: Microscopy

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Inspection of visible components in urine based on deep learning.

Medical physics May 14, 2020
PURPOSE: Urinary particles are particularly important parameters in clinical urinalysis, especially for the diagnosis of nephropathy. Therefore, it is highly important to precisely detect urinary particles in the clinical setting. However, artificial...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Kidney Diseases Microscopy Algorithms Deep Learning
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DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images.

Medical image analysis May 11, 2020
This paper presents a new deep regression model, which we call DeepDistance, for cell detection in images acquired with inverted microscopy. This model considers cell detection as a task of finding most probable locations that suggest cell centers in...
Neural Networks, Computer Algorithms Probability Microscopy Humans
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nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer.

Cell systems May 7, 2020
Single-cell segmentation is typically a crucial task of image-based cellular analysis. We present nucleAIzer, a deep-learning approach aiming toward a truly general method for localizing 2D cell nuclei across a diverse range of assays and light micro...
Microscopy Cell Nucleus Deep Learning
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Deep Learning for Ultrasound Localization Microscopy.

IEEE transactions on medical imaging Apr 9, 2020
By localizing microbubbles (MBs) in the vasculature, ultrasound localization microscopy (ULM) has recently been proposed, which greatly improves the spatial resolution of ultrasound (US) imaging and will be helpful for clinical diagnosis. Nevertheles...
Reproducibility of Results Deep Learning Microbubbles Ultrasonography Microscopy
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Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes.

Biochemical and biophysical research communications Apr 4, 2020
The precise and early assessment of cardiotoxicity is fundamental to bring forward novel drug candidates to the pharmaceutical market and to avoid their withdrawal from the market. Recent preclinical studies have attempted to use human-induced plurip...
Myocardial Contraction Cardiotoxicity Induced Pluripotent Stem Cells Quality Control Myocytes, Cardiac Machine Learning Cells, Cultured Drug Evaluation, Preclinical Microscopy Models, Biological Humans
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Machine learning for cluster analysis of localization microscopy data.

Nature communications Mar 20, 2020
Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships between molecules in the underlying sample. Many existing computational approaches are limited in...
Workflow Microscopy Software Cluster Analysis Biological Phenomena Optical Imaging Single Molecule Imaging Humans Neural Networks, Computer Machine Learning
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Sequential classification system for recognition of malaria infection using peripheral blood cell images.

Journal of clinical pathology Mar 16, 2020
AIMS: Morphological recognition of red blood cells infected with malaria parasites is an important task in the laboratory practice. Nowadays, there is a lack of specific automated systems able to differentiate malaria with respect to other red blood ...
Microscopy Image Interpretation, Computer-Assisted Machine Learning Malaria Erythrocytes Inclusion Bodies Humans
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Portable deep learning singlet microscope.

Journal of biophotonics Mar 10, 2020
Having the least lenses, the significant feature of the singlet imaging system, helps the development of the portable and cost-effective microscopes. A novel method of monochromatic/color singlet microscopy, which is combined with only one aspheric l...
Algorithms Deep Learning Microscopy Equipment Design Lenses
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Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks.

Applied microbiology and biotechnology Feb 12, 2020
Foodborne pathogens have become ongoing threats in the food industry, whereas their rapid detection and classification at an early stage are still challenging. To address early and rapid detection, hyperspectral microscope imaging (HMI) technology co...
Neural Networks, Computer Machine Learning Spectrum Analysis Algorithms Foodborne Diseases Image Processing, Computer-Assisted Microscopy Food Microbiology Bacterial Typing Techniques
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Visual Servoed Robotic Mouse Oocyte Rotation.

IEEE transactions on bio-medical engineering Dec 23, 2019
UNLABELLED: Both injection and biopsy of a mammalian cell require positioning and orientation of a biological cell in a three-dimensional space under a microscope. Manual cell manipulation and orientation is the most commonly used method that is base...
Rotation Oocytes Robotics Animals Microscopy Robotic Surgical Procedures Mice
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