AIMC Topic: Microscopy

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Environmental microorganism classification using optimized deep learning model.

Environmental science and pollution research international Feb 22, 2021
Rapid environmental microorganism (EM) classification under microscopic images would help considerably identify water quality. Because of the development of artificial intelligence, a deep convolutional neural network (CNN) has become a major solutio...
Deep Learning Microscopy Neural Networks, Computer Artificial Intelligence
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Adaptive optics for structured illumination microscopy based on deep learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 17, 2021
Structured illumination microscopy (SIM) is widely used in biological imaging for its high resolution, fast imaging speed, and simple optical setup. However, when imaging thick samples, the structured illumination patterns in SIM will suffer from opt...
Deep Learning Microscopy Optics and Photonics Image Processing, Computer-Assisted Lighting
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3D microscopy and deep learning reveal the heterogeneity of crown-like structure microenvironments in intact adipose tissue.

Science advances Feb 17, 2021
Crown-like structures (CLSs) are adipose microenvironments of macrophages engulfing adipocytes. Their histological density in visceral adipose tissue (VAT) predicts metabolic disorder progression in obesity and is believed to initiate obesity comorbi...
Humans Deep Learning Inflammation Obesity Adipose Tissue Adipocytes Microscopy
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Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning.

Lab on a chip Feb 15, 2021
We present sensing time-lapse morphogenesis of living bone cells under micro-fluidic shear stress (FSS) by digital holographic (DH) microscopy. To remove the effect of aberrations on quantitative measurements, we propose a numerical and automatic met...
Deep Learning Microfluidics Artificial Intelligence Microscopy Morphogenesis
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Real-time volumetric reconstruction of biological dynamics with light-field microscopy and deep learning.

Nature methods Feb 11, 2021
Light-field microscopy has emerged as a technique of choice for high-speed volumetric imaging of fast biological processes. However, artifacts, nonuniform resolution and a slow reconstruction speed have limited its full capabilities for in toto extra...
Motor Activity Behavior, Animal Caenorhabditis elegans Heart Neurons Zebrafish Microscopy Deep Learning Image Processing, Computer-Assisted Biomechanical Phenomena Animals
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Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning.

IEEE transactions on medical imaging Feb 3, 2021
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed. In this study, we propose a novel application of deep learning principles to reconstruct undersampled PAM imag...
Mice Microscopy Spectrum Analysis Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Animals
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A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Higher-resolution biopsy slice images reveal many details, which are widely used in medical practice. However, taking high-resolution slice images is more costly than taking low-resolution ones. In this paper, we propose a joint framework containing ...
Deep Learning Image Processing, Computer-Assisted Humans Algorithms Microscopy Female Computational Biology Databases, Factual Ovary Colon Biopsy
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Spherical-Patches Extraction for Deep-Learning-Based Critical Points Detection in 3D Neuron Microscopy Images.

IEEE transactions on medical imaging Feb 2, 2021
Digital reconstruction of neuronal structures is very important to neuroscience research. Many existing reconstruction algorithms require a set of good seed points. 3D neuron critical points, including terminations, branch points and cross-over point...
Neurons Microscopy Deep Learning Imaging, Three-Dimensional Neural Networks, Computer
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A Curvature-Enhanced Random Walker Segmentation Method for Detailed Capture of 3D Cell Surface Membranes.

IEEE transactions on medical imaging Feb 2, 2021
High-resolution 3D microscopy is a fast advancing field and requires new techniques in image analysis to handle these new datasets. In this work, we focus on detailed 3D segmentation of Dictyostelium cells undergoing macropinocytosis captured on an i...
Neural Networks, Computer Imaging, Three-Dimensional Microscopy Dictyostelium Image Processing, Computer-Assisted
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Deep Learning for Imaging and Detection of Microorganisms.

Trends in microbiology Jan 30, 2021
Despite tremendous recent interest, the application of deep learning in microbiology has still not reached its full potential. To tackle the challenges faced by human-operated microscopy, deep-learning-based methods have been proposed for microscopic...
Microscopy Deep Learning Humans Image Processing, Computer-Assisted Communicable Diseases
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