AIMC Topic: Microscopy

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Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.

The American journal of pathology Jun 12, 2021
With applications in object detection, image feature extraction, image classification, and image segmentation, artificial intelligence is facilitating high-throughput analysis of image data in a variety of biomedical imaging disciplines, ranging from...
Image Processing, Computer-Assisted Microscopy Organ Specificity Animals Deep Learning Cells Humans Artificial Intelligence
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Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images.

Nature biomedical engineering Jun 10, 2021
In machine learning for image-based medical diagnostics, supervised convolutional neural networks are typically trained with large and expertly annotated datasets obtained using high-resolution imaging systems. Moreover, the network's performance can...
Neural Networks, Computer Female Male Humans Malaria, Falciparum Image Interpretation, Computer-Assisted Histocytochemistry Time-Lapse Imaging Datasets as Topic Microscopy Plasmodium falciparum Supervised Machine Learning Embryo, Mammalian Spermatozoa
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Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning.

Journal of hazardous materials Jun 6, 2021
Airborne particulate matter (PM) has become a global environmental issue. This PM has harmful effects on public health and precision industries. Conventional air-quality monitoring methods usually utilize expensive equipment, and they are cumbersome ...
Microscopy Air Pollution Particulate Matter Deep Learning Smartphone Particle Size Environmental Monitoring Air Pollutants
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Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments.

Medical image analysis Jun 4, 2021
Biological experiments based on organ-on-chips (OOCs) exploit light Time-Lapse Microscopy (TLM) for a direct observation of cell movement that is an observable signature of underlying biological processes. A high spatial resolution is essential to ca...
Image Processing, Computer-Assisted Microscopy Time-Lapse Imaging Neural Networks, Computer Algorithms
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Dynamic Imaging and Characterization of Volatile Aerosols in E-Cigarette Emissions Using Deep Learning-Based Holographic Microscopy.

ACS sensors Jun 3, 2021
Various volatile aerosols have been associated with adverse health effects; however, characterization of these aerosols is challenging due to their dynamic nature. Here, we present a method that directly measures the volatility of particulate matter ...
Aerosols Electronic Nicotine Delivery Systems Propylene Glycol Deep Learning Microscopy
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DeepSeed Local Graph Matching for Densely Packed Cells Tracking.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
The tracking of densely packed plant cells across microscopy image sequences is very challenging, because their appearance change greatly over time. A local graph matching algorithm was proposed to track such cells by exploiting the tight spatial top...
Neural Networks, Computer Microscopy Cell Tracking Plant Cells Algorithms Image Processing, Computer-Assisted
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Microstructure, Quality, and Release Performance Characterization of Long-Acting Polymer Implant Formulations with X-Ray Microscopy and Quantitative AI Analytics.

Journal of pharmaceutical sciences Jun 2, 2021
Long-acting implants are typically formulated using carrier(s) with specific physical and chemical properties, along with the active pharmaceutical ingredient (API), to achieve the desired daily exposure for the target duration of action. In characte...
Drug Liberation Microscopy X-Rays Artificial Intelligence Polymers
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A survey on applications of deep learning in microscopy image analysis.

Computers in biology and medicine May 29, 2021
Advanced microscopy enables us to acquire quantities of time-lapse images to visualize the dynamic characteristics of tissues, cells or molecules. Microscopy images typically vary in signal-to-noise ratios and include a wealth of information which re...
Microscopy Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Resection of Intracranial Tumors with a Robotic-Assisted Digital Microscope: A Preliminary Experience with Robotic Scope.

World neurosurgery May 27, 2021
BACKGROUND: Magnified intraoperative visualization is of paramount importance during microsurgical procedures. Although the introduction of the operating microscope represented one of the most relevant innovations in modern neurosurgery, surgical vis...
Middle Aged Meningioma Astrocytoma Imaging, Three-Dimensional Humans Magnetic Resonance Imaging Robotic Surgical Procedures Feasibility Studies Aged Brain Neoplasms Female Microscopy Robotics Adult Neurosurgical Procedures Male Microsurgery Surgery, Computer-Assisted
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Deep Learning in Biomedical Optics.

Lasers in surgery and medicine May 20, 2021
This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical optics and includes microscopy, fluorescence lifetime imaging, in vivo mi...
Tomography, Optical Coherence Microscopy Optics and Photonics Optical Imaging Deep Learning
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