AIMC Topic: Microscopy

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High-throughput label-free detection of DNA-to-RNA transcription inhibition using brightfield microscopy and deep neural networks.

Computers in biology and medicine Apr 4, 2021
Drug discovery is in constant evolution and major advances have led to the development of in vitro high-throughput technologies, facilitating the rapid assessment of cellular phenotypes. One such phenotype is immunogenic cell death, which occurs part...
Neural Networks, Computer RNA Microscopy Cell Nucleus Image Processing, Computer-Assisted DNA
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Deep convolutional neural network: a novel approach for the detection of Aspergillus fungi via stereomicroscopy.

Journal of microbiology (Seoul, Korea) Mar 29, 2021
Fungi of the genus Aspergillus are ubiquitously distributed in nature, and some cause invasive aspergillosis (IA) infections in immunosuppressed individuals and contamination in agricultural products. Because microscopic observation and molecular det...
Humans Aspergillosis Microscopy Neural Networks, Computer Mycological Typing Techniques Aspergillus
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Microscope-Based Automated Quantification of Liver Fibrosis in Mice Using a Deep Learning Algorithm.

Toxicologic pathology Mar 26, 2021
In preclinical studies that involve animal models for hepatic fibrosis, accurate quantification of the fibrosis is of utmost importance. The use of digital image analysis based on deep learning artificial intelligence (AI) algorithms can facilitate a...
Animals Deep Learning Mice Artificial Intelligence Algorithms Liver Cirrhosis Microscopy
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High-Precision Assessment of Chemoradiotherapy of Rectal Cancer with Near-Infrared Photoacoustic Microscopy and Deep Learning.

Radiology Mar 23, 2021
Microscopy Humans Chemoradiotherapy Deep Learning Rectal Neoplasms
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Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review.

Diagnostic pathology Mar 17, 2021
BACKGROUND: The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine ...
Attitude of Health Personnel Health Knowledge, Attitudes, Practice Pathologists Microscopy Predictive Value of Tests Humans Attitude to Computers Artificial Intelligence Reproducibility of Results Cost-Benefit Analysis Image Interpretation, Computer-Assisted Practice Patterns, Physicians' Health Care Costs Pathology
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Deep learning-based real-time detection of neurons in brain slices for in vitro physiology.

Scientific reports Mar 16, 2021
A common electrophysiology technique used in neuroscience is patch clamp: a method in which a glass pipette electrode facilitates single cell electrical recordings from neurons. Typically, patch clamp is done manually in which an electrophysiologist ...
Microdissection Neurons Microscopy Brain Deep Learning Image Processing, Computer-Assisted Animals
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Towards real-time photorealistic 3D holography with deep neural networks.

Nature Mar 10, 2021
The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound impact on virtual and augmented reality, human-computer interaction, education and training. Computer-generated holography (CGH) enables high-spatio-a...
Microscopy Datasets as Topic Holography Color Augmented Reality Computer Graphics Optical Tweezers Deep Learning Computer Systems Time Factors Printing, Three-Dimensional Virtual Reality Neural Networks, Computer Animals
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Super-Resolution Ultrasound Localization Microscopy Through Deep Learning.

IEEE transactions on medical imaging Mar 2, 2021
Ultrasound localization microscopy has enabled super-resolution vascular imaging through precise localization of individual ultrasound contrast agents (microbubbles) across numerous imaging frames. However, analysis of high-density regions with signi...
Microscopy Deep Learning Microbubbles Ultrasonography Contrast Media
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Data-efficient and weakly supervised computational pathology on whole-slide images.

Nature biomedical engineering Mar 1, 2021
Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability. Here we...
Humans Deep Learning Lung Neoplasms Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Histocytochemistry Lymphatic Metastasis Area Under Curve Microscopy Smartphone Carcinoma, Non-Small-Cell Lung
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Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images.

BMC bioinformatics Feb 26, 2021
BACKGROUND: To effectively detect and investigate various cell-related diseases, it is essential to understand cell behaviour. The ability to detection mitotic cells is a fundamental step in diagnosing cell-related diseases. Convolutional neural netw...
Neural Networks, Computer Cell Physiological Phenomena Microscopy
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