AIMC Topic: Microscopy

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High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning.

Journal of visualized experiments : JoVE Apr 28, 2022
Surgical margin analysis (SMA), an essential procedure to confirm the complete excision of cancerous tissue in tumor resection surgery, requires intraoperative diagnostic tools to avoid repeated surgeries due to a positive surgical margin. Recently, ...
Photoacoustic Techniques Spectrum Analysis Deep Learning Mice Staining and Labeling Microscopy Animals
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Deep learning -- promises for 3D nuclear imaging: a guide for biologists.

Journal of cell science Apr 14, 2022
For the past century, the nucleus has been the focus of extensive investigations in cell biology. However, many questions remain about how its shape and size are regulated during development, in different tissues, or during disease and aging. To trac...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy Cell Nucleus Neural Networks, Computer Deep Learning
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Rapid, automated nerve histomorphometry through open-source artificial intelligence.

Scientific reports Apr 8, 2022
We aimed to develop and validate a deep learning model for automated segmentation and histomorphometry of myelinated peripheral nerve fibers from light microscopic images. A convolutional neural network integrated in the AxonDeepSeg framework was tra...
Animals Rats Artificial Intelligence Axons Nerve Fibers, Myelinated Microscopy Myelin Sheath
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A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach.

Computers in biology and medicine Apr 7, 2022
Lymphomas, or cancers of the lymphatic system, account for around half of all blood cancers diagnosed each year. Lymphoma is a condition that is difficult to diagnose, and accurate diagnosis is critical for effective treatment. Manual microscopic ana...
Humans Deep Learning Lymphoma Algorithms Databases, Factual Microscopy
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Detection and Recognition of Pollen Grains in Multilabel Microscopic Images.

Sensors (Basel, Switzerland) Mar 31, 2022
Analysis of pollen material obtained from the Hirst-type apparatus, which is a tedious and labor-intensive process, is usually performed by hand under a microscope by specialists in palynology. This research evaluated the automatic analysis of pollen...
Pollen Neural Networks, Computer Microscopy
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Deep Learning-Based Microbubble Localization for Ultrasound Localization Microscopy.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Mar 30, 2022
Ultrasound localization microscopy (ULM) is an emerging vascular imaging technique that overcomes the resolution-penetration compromise of ultrasound imaging. Accurate and robust microbubble (MB) localization is essential for successful ULM. In this ...
Microvessels Microbubbles Deep Learning Chick Embryo Ultrasonography Animals Microscopy
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Semisolid Pharmaceutical Product Characterization Using Non-invasive X-ray Microscopy and AI-Based Image Analytics.

The AAPS journal Mar 21, 2022
This work reports the use of X-ray microscopy (XRM) imaging to characterize the microstructure of semisolid formulations containing multiple immiscible phases. For emulsion-based semisolid formulations, the disperse phase globule size and its distrib...
Emulsions X-Rays Artificial Intelligence Microscopy
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High Resolution of Plasmonic Resonance Scattering Imaging with Deep Learning.

Analytical chemistry Mar 11, 2022
The dark-field microscopy (DFM) imaging technology has the advantage of a high signal-to-noise ratio, and it is often used for real-time monitoring of plasmonic resonance scattering and biological imaging at the single-nanoparticle level. Due to the ...
Deep Learning Nanoparticles Optical Imaging Microscopy
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A Data-Efficient Framework for the Identification of Vaginitis Based on Deep Learning.

Journal of healthcare engineering Feb 27, 2022
Vaginitis is a gynecological disease affecting the health of millions of women all over the world. The traditional diagnosis of vaginitis is based on manual microscopy, which is time-consuming and tedious. The deep learning method offers a fast and r...
Deep Learning Image Processing, Computer-Assisted Humans Microscopy Neural Networks, Computer Vaginitis Female
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Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning.

The Science of the total environment Feb 19, 2022
Microplastics quantification and classification are demanding jobs to monitor microplastic pollution and evaluate the potential health risks. In this paper, microplastics from daily supplies in diverse chemical compositions and shapes are imaged by s...
Plastics Microplastics Electrons Deep Learning Microscopy
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