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AI Visualization in Nanoscale Microscopy
Artificial Intelligence (AI) and nanotechnology are promising areas for the future of humanity. While deep learning-based computer vision has found...
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Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis
Current deep learning-based approaches for the segmentation of microscopy images heavily rely on large amount of training data with dense annotation,...
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Geometric Ultrasound Localization Microscopy
Contrast-Enhanced Ultra-Sound (CEUS) has become a viable method for non-invasive, dynamic visualization in medical diagnostics, yet Ultrasound...
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Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images DECO-DIP
Image deconvolution and denoising is a common postprocessing step to improve the quality of biomedical fluorescence microscopy images. In recent...
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An error correction strategy for image reconstruction by DNA sequencing microscopy
By pairing adjacent molecules in situ and then map** these pairs, DNA microscopy could substantially reduce the workload in spatial omics methods...
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A New Method for Microscopy Image Segmentation Using Multi-scale Line Detection
Image segmentation plays a crucial role in many biomedical imaging applications by automating and facilitating delineating of anatomical structures...
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Data-Driven Cancer Research with Digital Microscopy and Pathomics
The study of cancer biology is a highly data-driven process with the intent to develop better diagnostic and treatment strategies. Broadly speaking,...
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Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy
Generating accurate structural segmentation for 3D two-photon excitation microscopy (TPEM) images affords insights into how cellular-scale networks...
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Autofocusing for Cleavage-stage Embryos in Brightfield Microscopy: Towards Automated Preimplantation Genetic Testing
Autofocusing is essential and serves as a prerequisite for the automation of embryo biopsy in preimplantation genetic testing (PGT) using robotics....
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Cross-Domain Microscopy Cell Counting By Disentangled Transfer Learning
Microscopy images from different imaging conditions, organs, and tissues often have numerous cells with various shapes on a range of backgrounds. As...
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Optimization of microscopy image compression using convolutional neural networks and removal of artifacts by deep generative adversarial networks
Nowadays, microscopy images are significant in medical research and clinical studies. However, storage and transmission of data such as microscopy...
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Electron Microscopy Image Registration with Transformers
We propose a new encoder-decoder framework based on transformer for electron microscopy (EM) image registration. Current image registration methods...
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Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction
State-of-the-art object detection and segmentation methods for microscopy images rely on supervised machine learning, which requires laborious manual...
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Self-supervised Learning Through Colorization for Microscopy Images
Training effective models for segmentation or classification of microscopy images is a hard task, complicated by the scarcity of adequately labeled...
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Analysis of Extracellular Vesicle Data on Fluorescence and Atomic Force Microscopy Images
Extracellular vesicles (EV) enable cell-to-cell communication in the body of an organism and carry significant potential in the medical field as...
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Automated Segmentation of Patterned Cells in Micropatterning Microscopy Images
Micropatterning in living cells is used for the analysis of protein-protein interactions. The quantitative analysis of images produced within this...
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\(\textsf {Fluo}\) : A Domain-Specific Language for Experiments in Fluorescence Microscopy (Application Paper)
Fluorescence microscopy is a true workhorse in the domain of life sciences, essential for unraveling the inner workings of cells and tissue. It is...
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Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae
Osteoporosis is a chronic disease that causes lower bone density and makes bones fragile. This severely impairs patient life qualities and increases...