AIMC Topic: Microscopy

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Double-flow convolutional neural network for rapid large field of view Fourier ptychographic reconstruction.

Journal of biophotonics Feb 24, 2021
Fourier ptychographic microscopy is a promising imaging technique which can circumvent the space-bandwidth product of the system and achieve a reconstruction result with wide field-of-view (FOV), high-resolution and quantitative phase information. Ho...
Image Processing, Computer-Assisted Microscopy Neural Networks, Computer
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Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images.

Medical image analysis Feb 24, 2021
Detection of cells and particles in microscopy images is a common and challenging task. In recent years, detection approaches in computer vision achieved remarkable improvements by leveraging deep learning. Microscopy images pose challenges like smal...
Microscopy Neural Networks, Computer Algorithms Consensus Bayes Theorem
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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...
Microscopy Artificial Intelligence Deep Learning Neural Networks, Computer
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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 Microscopy Obesity Adipocytes Adipose Tissue
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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...
Morphogenesis Artificial Intelligence Deep Learning Microfluidics Microscopy
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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...
Zebrafish Microscopy Heart Neurons Motor Activity Behavior, Animal Caenorhabditis elegans Biomechanical Phenomena Animals Deep Learning Image Processing, Computer-Assisted
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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...
Spectrum Analysis Mice Neural Networks, Computer Microscopy Animals Deep Learning Image Processing, Computer-Assisted
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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 ...
Microscopy Ovary Computational Biology Biopsy Female Algorithms Deep Learning Colon Databases, Factual Image Processing, Computer-Assisted Humans
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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...
Neural Networks, Computer Neurons Microscopy Deep Learning Imaging, Three-Dimensional
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