AIMC Topic: Microscopy

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Facilitating cell segmentation with the projection-enhancement network.

Physical biology Oct 9, 2023
Contemporary approaches to instance segmentation in cell science use 2D or 3D convolutional networks depending on the experiment and data structures. However, limitations in microscopy systems or efforts to prevent phototoxicity commonly require reco...
Neural Networks, Computer Image Processing, Computer-Assisted Microscopy
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Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy.

Anatomical sciences education Oct 7, 2023
As a part of modern technological environments, virtual microscopy enriches histological learning, with support from large institutional investments. However, existing literature does not supply empirical evidence of its role in improving pedagogy. V...
Microscopy Curriculum User-Computer Interface Educational Measurement Computer-Assisted Instruction Histology Learning Female Students, Medical Male Machine Learning Algorithms Humans
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Dimensionality reduction for deep learning in infrared microscopy: a comparative computational survey.

The Analyst Oct 5, 2023
While infrared microscopy provides molecular information at spatial resolution in a label-free manner, exploiting both spatial and molecular information for classifying the disease status of tissue samples constitutes a major challenge. One strategy ...
Deep Learning Microscopy Neural Networks, Computer Machine Learning
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Deep learning-based photodamage reduction on harmonic generation microscope at low-level optical power.

Journal of biophotonics Oct 2, 2023
The trade-off between high-quality images and cellular health in optical bioimaging is a crucial problem. We demonstrated a deep-learning-based power-enhancement (PE) model in a harmonic generation microscope (HGM), including second harmonic generati...
Deep Learning Microscopy
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Deep learning for fast denoising filtering in ultrasound localization microscopy.

Physics in medicine and biology Oct 2, 2023
Addition of a denoising filter step in ultrasound localization microscopy (ULM) has been shown to effectively reduce the error localizations of microbubbles (MBs) and achieve resolution improvement for super-resolution ultrasound (SR-US) imaging. How...
Microscopy Signal-To-Noise Ratio Image Processing, Computer-Assisted Rabbits Deep Learning Neural Networks, Computer Ultrasonography Animals
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Deep learning-driven adaptive optics for single-molecule localization microscopy.

Nature methods Sep 28, 2023
The inhomogeneous refractive indices of biological tissues blur and distort single-molecule emission patterns generating image artifacts and decreasing the achievable resolution of single-molecule localization microscopy (SMLM). Conventional sensorle...
Optics and Photonics Deep Learning Microscopy Brain
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Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy.

Nature communications Sep 25, 2023
The goal of oncologic surgeries is complete tumor resection, yet positive margins are frequently found postoperatively using gold standard H&E-stained histology methods. Frozen section analysis is sometimes performed for rapid intraoperative margin e...
Spectrum Analysis Humans Microscopy Remote Sensing Technology Coloring Agents Male Deep Learning
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Statistically unbiased prediction enables accurate denoising of voltage imaging data.

Nature methods Sep 18, 2023
Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pix...
Image Processing, Computer-Assisted Microscopy Signal-To-Noise Ratio Normal Distribution Neural Networks, Computer
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Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation.

Medical image analysis Sep 12, 2023
The role of fibrillar collagen in the tissue microenvironment is critical in disease contexts ranging from cancers to chronic inflammations, as evidenced by many studies. Quantifying fibrillar collagen organization has become a powerful approach for ...
Microscopy Collagen Neural Networks, Computer Fibrillar Collagens Humans Liver
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Parasitic egg recognition using convolution and attention network.

Scientific reports Sep 2, 2023
Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among the most common infections in humans in low-and-middle-income countries. IPIs affect not only the health status of a country, but also the economic sector. Ov...
Microscopy Datasets as Topic Intestinal Diseases, Parasitic Parasites Humans Animals Neural Networks, Computer Ovum
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