AIMC Topic: Microscopy

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NeuroCellCentreDB: Exploring a Novel Dataset for Neuron-like Cell Centre Detection with Deep Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The manipulation and stimulation of cell growth is invaluable for neuroscience research such as brain-machine interfaces or applications of neural tissue engineering. For the implementation of such research avenues, in particular the analysis of cell...
Neural Networks, Computer Cell Proliferation Microscopy Automation Neurons
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Deep-Learning Based Quantification of Bovine Oocyte Quality From Microscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The success rate of bovine in vitro embryo reproduction is low and highly dependent on the oocyte quality. The selection of the oocyte to be fertilized is done by the embryologists' visual examination of oocytes. It is time-consuming, subjective, and...
In Vitro Oocyte Maturation Techniques Oocytes Cattle Microscopy Blastocyst Humans Deep Learning Animals
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Machine Learning for Analysis of Microscopy Images: A Practical Guide and Latest Trends.

Current protocols Jul 1, 2023
The explosive growth of Machine Learning provided scientists with insights into the data in the ways unattainable using established research techniques. It allowed the detection of biological features that were previously unrecognized and overlooked....
Neural Networks, Computer Workflow Microscopy Surveys and Questionnaires Machine Learning
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Study on identification algorithm of traditional Chinese medicinals microscopic image based on convolutional neural network.

Medicine Jun 23, 2023
UNLABELLED: When the similarity of medicinal materials is high and easily confused, the traditional subjective judgment has an impact on the identification results. Use high-dimensional features to identify medicinal materials to ensure the quality o...
Powders Algorithms Microscopy Drugs, Chinese Herbal Neural Networks, Computer
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Neuron tracing from light microscopy images: automation, deep learning and bench testing.

Bioinformatics (Oxford, England) Dec 13, 2022
MOTIVATION: Large-scale neuronal morphologies are essential to neuronal typing, connectivity characterization and brain modeling. It is widely accepted that automation is critical to the production of neuronal morphology. Despite previous survey pape...
Automation Microscopy Imaging, Three-Dimensional Deep Learning Mammals Neurons Algorithms Animals
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Fourier ptychographic microscopy with untrained deep neural network priors.

Optics express Oct 24, 2022
We propose a physics-assisted deep neural network scheme in Fourier ptychographic microscopy (FPM) using untrained deep neural network priors (FPMUP) to achieve a high-resolution image reconstruction from multiple low-resolution images. Unlike the tr...
Microscopy Fourier Analysis Algorithms Image Processing, Computer-Assisted Neural Networks, Computer
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Sparse phase retrieval using a physics-informed neural network for Fourier ptychographic microscopy.

Optics letters Oct 1, 2022
In this paper, we report a sparse phase retrieval framework for Fourier ptychographic microscopy using the recently proposed principle of physics-informed neural networks. The phase retrieval problem is cast as training bidirectional mappings from th...
Neural Networks, Computer Microscopy
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Deep-SMOLM: deep learning resolves the 3D orientations and 2D positions of overlapping single molecules with optimal nanoscale resolution.

Optics express Sep 26, 2022
Dipole-spread function (DSF) engineering reshapes the images of a microscope to maximize the sensitivity of measuring the 3D orientations of dipole-like emitters. However, severe Poisson shot noise, overlapping images, and simultaneously fitting high...
Microscopy Image Processing, Computer-Assisted Amyloid Deep Learning Nanotechnology
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Deep-learning for microscopy.

Nature cell biology Sep 1, 2022
Microscopy Deep Learning Image Processing, Computer-Assisted
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Lensless computational imaging with a hybrid framework of holographic propagation and deep learning.

Optics letters Sep 1, 2022
Lensless imaging has attracted attention as it avoids the bulky optical lens. Lensless holographic imaging is a type of a lensless imaging technique. Recently, deep learning has also shown tremendous potential in lensless holographic imaging. A label...
Microscopy Deep Learning Holography Lenses
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