AIMC Topic: Microscopy, Fluorescence

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MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams.

PloS one Jun 15, 2022
Environmental monitoring of microplastics (MP) contamination has become an area of great research interest, given potential hazards associated with human ingestion of MP. In this context, determination of MP concentration is essential. However, cheap...
Humans Plastics Microplastics Animals Microscopy, Fluorescence Bivalvia Deep Learning Image Processing, Computer-Assisted
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Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy.

Nature communications Jun 8, 2022
Volumetric imaging by fluorescence microscopy is often limited by anisotropic spatial resolution, in which the axial resolution is inferior to the lateral resolution. To address this problem, we present a deep-learning-enabled unsupervised super-reso...
Microscopy, Fluorescence Anisotropy Deep Learning Imaging, Three-Dimensional
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VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images.

Scanning Jun 8, 2022
This research work aims to implement an automated segmentation process to extract the endoplasmic reticulum (ER) network in fluorescence microscopy images (FMI) using pretrained convolutional neural network (CNN). The threshold level of the raw FMT i...
Endoplasmic Reticulum Image Processing, Computer-Assisted Neural Networks, Computer Microscopy, Fluorescence
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Deep learning for blind structured illumination microscopy.

Scientific reports May 21, 2022
Blind-structured illumination microscopy (blind-SIM) enhances the optical resolution without the requirement of nonlinear effects or pre-defined illumination patterns. It is thus advantageous in experimental conditions where toxicity or biological fl...
Lighting Artifacts Deep Learning Microscopy, Fluorescence Algorithms
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High-throughput widefield fluorescence imaging of 3D samples using deep learning for 2D projection image restoration.

PloS one May 19, 2022
Fluorescence microscopy is a core method for visualizing and quantifying the spatial and temporal dynamics of complex biological processes. While many fluorescent microscopy techniques exist, due to its cost-effectiveness and accessibility, widefield...
Optical Imaging Image Processing, Computer-Assisted Microscopy, Fluorescence Imaging, Three-Dimensional Algorithms Deep Learning
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MultiHeadGAN: A deep learning method for low contrast retinal pigment epithelium cell segmentation with fluorescent flatmount microscopy images.

Computers in biology and medicine May 10, 2022
BACKGROUND: Retinal pigment epithelium (RPE) aging is an important cause of vision loss. As RPE aging is accompanied by changes in cell morphological features, an accurate segmentation of RPE cells is a prerequisite to such morphology analyses. Due t...
Microscopy, Fluorescence Humans Deep Learning Retinal Pigment Epithelium Supervised Machine Learning Image Processing, Computer-Assisted
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Bayesian machine learning analysis of single-molecule fluorescence colocalization images.

eLife Mar 23, 2022
Multi-wavelength single-molecule fluorescence colocalization (CoSMoS) methods allow elucidation of complex biochemical reaction mechanisms. However, analysis of CoSMoS data is intrinsically challenging because of low image signal-to-noise ratios, non...
Reproducibility of Results Fluorescence Bayes Theorem Microscopy, Fluorescence Image Processing, Computer-Assisted Unsupervised Machine Learning
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Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.

Journal of cell science Feb 10, 2022
Immunofluorescence microscopy is routinely used to visualise the spatial distribution of proteins that dictates their cellular function. However, unspecific antibody binding often results in high cytosolic background signals, decreasing the image con...
Cellular Structures Neural Networks, Computer Image Processing, Computer-Assisted Microscopy, Fluorescence
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Machine learning classification of trajectories from molecular dynamics simulations of chromosome segregation.

PloS one Jan 21, 2022
In contrast to the well characterized mitotic machinery in eukaryotes it seems as if there is no universal mechanism organizing chromosome segregation in all bacteria. Apparently, some bacteria even use combinations of different segregation mechanism...
Machine Learning Bacteria Microscopy, Fluorescence Chromosome Segregation Molecular Dynamics Simulation DNA Replication
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Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells.

Communications biology Jan 11, 2022
Fluorescence lifetime imaging microscopy (FLIM) is a powerful tool to quantify molecular compositions and study molecular states in complex cellular environment as the lifetime readings are not biased by fluorophore concentration or excitation power....
Molecular Imaging Cytological Techniques HeLa Cells Microscopy, Fluorescence Humans Algorithms Image Processing, Computer-Assisted Fluorescent Dyes Deep Learning
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