AIMC Topic: Microscopy, Fluorescence

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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning.

Journal of visualized experiments : JoVE Mar 3, 2023
The quantitative analysis of subcellular organelles such as mitochondria in cell fluorescence microscopy images is a demanding task because of the inherent challenges in the segmentation of these small and morphologically diverse structures. In this ...
Machine Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Supervised Machine Learning Mitochondria
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Deep Learning Solution for Quantification of Fluorescence Particles on a Membrane.

Sensors (Basel, Switzerland) Feb 5, 2023
The detection and quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus particles in ambient waters using a membrane-based in-gel loop-mediated isothermal amplification (mgLAMP) method can play an important role in larg...
Humans COVID-19 SARS-CoV-2 Deep Learning Microscopy, Fluorescence Membranes
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Correlative Fluorescence and Raman Microscopy to Define Mitotic Stages at the Single-Cell Level: Opportunities and Limitations in the AI Era.

Biosensors Jan 26, 2023
Nowadays, morphology and molecular analyses at the single-cell level have a fundamental role in understanding biology better. These methods are utilized for cell phenotyping and in-depth studies of cellular processes, such as mitosis. Fluorescence mi...
Artificial Intelligence Spectrum Analysis, Raman Microscopy, Fluorescence
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Machine learning assisted interferometric structured illumination microscopy for dynamic biological imaging.

Nature communications Dec 21, 2022
Structured Illumination Microscopy, SIM, is one of the most powerful optical imaging methods available to visualize biological environments at subcellular resolution. Its limitations stem from a difficulty of imaging in multiple color channels at onc...
Machine Learning Microscopy, Fluorescence Lighting Interferometry
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Volumetric imaging of fast cellular dynamics with deep learning enhanced bioluminescence microscopy.

Communications biology Dec 3, 2022
Bioluminescence microscopy is an appealing alternative to fluorescence microscopy, because it does not depend on external illumination, and consequently does neither produce spurious background autofluorescence, nor perturb intrinsically photosensiti...
Animals Deep Learning Mice Microscopy, Fluorescence Zebrafish Cell Nucleus Cytoplasm Caenorhabditis elegans
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Incorporating the image formation process into deep learning improves network performance.

Nature methods Oct 31, 2022
We present Richardson-Lucy network (RLN), a fast and lightweight deep learning method for three-dimensional fluorescence microscopy deconvolution. RLN combines the traditional Richardson-Lucy iteration with a fully convolutional network structure, es...
Algorithms Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Artifacts
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Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes.

Nature biotechnology Oct 6, 2022
The goal when imaging bioprocesses with optical microscopy is to acquire the most spatiotemporal information with the least invasiveness. Deep neural networks have substantially improved optical microscopy, including image super-resolution and restor...
Neural Networks, Computer Deep Learning Microscopy, Fluorescence
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Simple and Robust Deep Learning Approach for Fast Fluorescence Lifetime Imaging.

Sensors (Basel, Switzerland) Sep 26, 2022
Fluorescence lifetime imaging (FLIM) is a powerful tool that provides unique quantitative information for biomedical research. In this study, we propose a multi-layer-perceptron-based mixer (MLP-Mixer) deep learning (DL) algorithm named FLIM-MLP-Mixe...
Algorithms Deep Learning Microscopy, Fluorescence Fluorescence Resonance Energy Transfer Optical Imaging
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Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses.

Scientific reports Sep 12, 2022
Cell morphology is profoundly influenced by cellular interactions with microenvironmental factors such as the extracellular matrix (ECM). Upon adhesion to specific ECM, various cell types are known to exhibit different but distinctive morphologies, s...
Neural Networks, Computer Phenotype Fibroblasts Microscopy, Fluorescence Extracellular Matrix
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Development of Deep-Learning-Based Single-Molecule Localization Image Analysis.

International journal of molecular sciences Jun 21, 2022
Recent developments in super-resolution fluorescence microscopic techniques (SRM) have allowed for nanoscale imaging that greatly facilitates our understanding of nanostructures. However, the performance of single-molecule localization microscopy (SM...
Algorithms Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Single Molecule Imaging
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