AIMC Topic: Microscopy

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Deep-learning-based cross-modality translation from Stokes image to bright-field contrast.

Journal of biomedical optics Oct 20, 2023
SIGNIFICANCE: Mueller matrix (MM) microscopy has proven to be a powerful tool for probing microstructural characteristics of biological samples down to subwavelength scale. However, in clinical practice, doctors usually rely on bright-field microscop...
Deep Learning Image Processing, Computer-Assisted Staining and Labeling Lung Microscopy Liver
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Deep-LASI: deep-learning assisted, single-molecule imaging analysis of multi-color DNA origami structures.

Nature communications Oct 17, 2023
Single-molecule experiments have changed the way we explore the physical world, yet data analysis remains time-consuming and prone to human bias. Here, we introduce Deep-LASI (Deep-Learning Assisted Single-molecule Imaging analysis), a software suite...
Humans Deep Learning Fluorescence Resonance Energy Transfer Protein Conformation DNA Microscopy Single Molecule Imaging
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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...
Image Processing, Computer-Assisted Microscopy Neural Networks, Computer
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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...
Curriculum Computer-Assisted Instruction Histology Educational Measurement Microscopy User-Computer Interface Learning Female Students, Medical Male Machine Learning Humans Algorithms
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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 Neural Networks, Computer Animals Deep Learning Ultrasonography
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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 Brain Microscopy
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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...
Humans Coloring Agents Microscopy Male Remote Sensing Technology Deep Learning Spectrum Analysis
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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 Normal Distribution Neural Networks, Computer Signal-To-Noise Ratio
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