AIMC Topic: Intravital Microscopy

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Toward Automated Bladder Tumor Stratification Using Confocal Laser Endomicroscopy.

Journal of endourology Oct 29, 2019
Urothelial carcinoma of the bladder (UCB) is the most common urinary cancer. White-light cystoscopy (WLC) forms the corner stone for the diagnosis of UCB. However, histopathological assessment is required for adjuvant treatment selection. Probe-base...
Cystoscopy Intravital Microscopy Neoplasm Grading Image Interpretation, Computer-Assisted Carcinoma, Transitional Cell Neural Networks, Computer Sensitivity and Specificity Image Processing, Computer-Assisted Microscopy, Confocal Urinary Bladder Neoplasms Area Under Curve Humans
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DeephESC 2.0: Deep Generative Multi Adversarial Networks for improving the classification of hESC.

PloS one Mar 6, 2019
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for numerous potential applications. They have great promise in the treatment of diseases such as Parkinson's, Huntington's, diabetes mellitus, etc. hESC ...
Human Embryonic Stem Cells Intravital Microscopy Image Processing, Computer-Assisted Video Recording Signal-To-Noise Ratio Humans Neural Networks, Computer Machine Learning Cells, Cultured
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Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging.

Nature communications Apr 27, 2018
Cell protrusion is morphodynamically heterogeneous at the subcellular level. However, the mechanism of cell protrusion has been understood based on the ensemble average of actin regulator dynamics. Here, we establish a computational framework called ...
Cluster Analysis Cell Line Models, Biological Phosphoproteins Indoles Actins Animals Cell Line, Tumor Cell Movement Humans Machine Learning Software Pseudopodia Vasodilator-Stimulated Phosphoprotein Actin-Related Protein 2-3 Complex Microfilament Proteins Potoroidae Cell Adhesion Molecules Actin Cytoskeleton Intravital Microscopy
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(Machine-)Learning to analyze in vivo microscopy: Support vector machines.

Biochimica et biophysica acta. Proteins and proteomics Sep 30, 2017
The development of new microscopy techniques for super-resolved, long-term monitoring of cellular and subcellular dynamics in living organisms is revealing new fundamental aspects of tissue development and repair. However, new microscopy approaches p...
Embryo, Nonmammalian Drosophila melanogaster Intravital Microscopy Machine Learning Animals Support Vector Machine
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Automated Training of Deep Convolutional Neural Networks for Cell Segmentation.

Scientific reports Aug 10, 2017
Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show t...
Image Processing, Computer-Assisted Cytological Techniques Intravital Microscopy Machine Learning Humans Automation, Laboratory Neural Networks, Computer Cell Line, Tumor
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Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments.

PLoS computational biology Nov 4, 2016
Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays in dynamic, living systems. A major critical challenge for this class of experiments is the problem of image segmentation, or determining which parts of a micr...
Pattern Recognition, Automated Image Enhancement Cell Tracking Intravital Microscopy Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning
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Improving flat fluorescence microscopy in scattering tissue through deep learning strategies.

Optics express Jul 3, 2023
Intravital microscopy in small animals growingly contributes to the visualization of short- and long-term mammalian biological processes. Miniaturized fluorescence microscopy has revolutionized the observation of live animals' neural circuits. The te...
Animals Deep Learning Lenses Mammals Intravital Microscopy Image Processing, Computer-Assisted Lens, Crystalline Microscopy, Fluorescence
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In vivo microscopy as an adjunctive tool to guide detection, diagnosis, and treatment.

Journal of biomedical optics Apr 1, 2022
SIGNIFICANCE: There have been numerous academic and commercial efforts to develop high-resolution in vivo microscopes for a variety of clinical use cases, including early disease detection and surgical guidance. While many high-profile studies, comme...
Intravital Microscopy Artificial Intelligence Forecasting Microscopy
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Deep learning for in vivo near-infrared imaging.

Proceedings of the National Academy of Sciences of the United States of America Jan 5, 2021
Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a novel in vivo imaging modality with high spatial and temporal resolution through millimeter tissue depths. Imaging in the NIR-IIb window (1,500-1,700 ...
Humans Spectroscopy, Near-Infrared Deep Learning Cell Line, Tumor Neural Networks, Computer Animals Neoplasms Indoles Mice, Inbred BALB C Indocyanine Green Mice Fluorescent Dyes Molecular Imaging Lymph Nodes Microscopy, Fluorescence Signal-To-Noise Ratio Mice, Nude Intravital Microscopy Cetuximab
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