AIMC Topic: Microscopy

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[EMPAIA-ecosystem for pathology diagnostics with AI assistance].

Der Pathologe Dec 17, 2021
Applications of deep learning and other artificial intelligence techniques play an increasing role in pathological research. In contrast to research, applications in clinical routine are rare so far, although the first certified solutions have alread...
Male Ecosystem Microscopy Humans Artificial Intelligence
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Mitotic Index Determination on Live Cells From Label-Free Acquired Quantitative Phase Images Using a Supervised Autoencoder.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
This interdisciplinary work focuses on the interest of a new auto-encoder for supervised classification of live cell populations growing in a thermostated imaging station and acquired by a Quantitative Phase Imaging (QPI) camera. This type of camera ...
Humans Algorithms Image Processing, Computer-Assisted Nocodazole HeLa Cells Supervised Machine Learning Cell Cycle Microscopy Mitotic Index
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Using Convolutional Neural Networks to Measure the Physiological Age of Caenorhabditis elegans.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Caenorhabditis elegans (C. elegans) is a popular and excellent model for studies of aging due to its short lifespan. Methods for precisely measuring the physiological age of C. elegans are critically needed, especially for antiaging drug screening an...
Microscopy Linear Models Caenorhabditis elegans Computational Biology Logistic Models Neural Networks, Computer Aging Image Processing, Computer-Assisted Animals
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Physics-based learning with channel attention for Fourier ptychographic microscopy.

Journal of biophotonics Nov 28, 2021
Fourier ptychographic microscopy (FPM) is a computational imaging technology for large field-of-view, high resolution and quantitative phase imaging. In FPM, low-resolution intensity images captured with angle-varying illumination are synthesized in ...
Neural Networks, Computer Lighting Attention Microscopy Fourier Analysis
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Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain.

Scientific reports Nov 26, 2021
In preclinical research, histology images are produced using powerful optical microscopes to digitize entire sections at cell scale. Quantification of stained tissue relies on machine learning driven segmentation. However, such methods require multip...
Brain Animals Image Processing, Computer-Assisted Machine Learning Algorithms Macaca Neurons Microscopy
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WBC-based segmentation and classification on microscopic images: a minor improvement.

F1000Research Nov 17, 2021
Introduction White blood cells (WBCs) are immunity cells which fight against viruses and bacteria in the human body. Microscope images of captured WBCs for processing and analysis are important to interpret the body condition. At present, there is no...
Image Processing, Computer-Assisted Humans Leukocytes Neural Networks, Computer Microscopy
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High-Throughput, Label-Free and Slide-Free Histological Imaging by Computational Microscopy and Unsupervised Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Nov 7, 2021
Rapid and high-resolution histological imaging with minimal tissue preparation has long been a challenging and yet captivating medical pursuit. Here, the authors propose a promising and transformative histological imaging method, termed computational...
Brain Animals Humans Models, Animal Kidney Histological Techniques Lung Unsupervised Machine Learning Mice Microscopy
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Deep learning is widely applicable to phenotyping embryonic development and disease.

Development (Cambridge, England) Nov 5, 2021
Genome editing simplifies the generation of new animal models for congenital disorders. However, the detailed and unbiased phenotypic assessment of altered embryonic development remains a challenge. Here, we explore how deep learning (U-Net) can auto...
Craniofacial Abnormalities Xenopus Proteins Microscopy Embryonic Development Xenopus laevis Polycystic Kidney Diseases Phenotype Neurodevelopmental Disorders Animals Mice Neural Networks, Computer Disease Models, Animal Deep Learning Mutation Image Processing, Computer-Assisted
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Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps.

JAMA network open Nov 1, 2021
IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the planning of follow-up surveillance. Substantial variation has been observed in pathologists' classification of colorectal polyps, and improved assessmen...
Image Interpretation, Computer-Assisted New Hampshire Data Accuracy Colonic Polyps Diagnostic Tests, Routine Colorectal Neoplasms Microscopy Humans Artificial Intelligence
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A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy.

Cell reports methods Oct 27, 2021
MOTIVATION: Quantitative studies of cellular morphodynamics rely on extracting leading-edge velocity time series based on accurate cell segmentation from live cell imaging. However, live cell imaging has numerous challenging issues regarding accurate...
Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Microscopy
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