AIMC Topic: Microscopy

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Assessing Fuchs Corneal Endothelial Dystrophy Using Artificial Intelligence-Derived Morphometric Parameters From Specular Microscopy Images.

Cornea Feb 9, 2024
PURPOSE: The aim of this study was to evaluate the efficacy of artificial intelligence-derived morphometric parameters in characterizing Fuchs corneal endothelial dystrophy (FECD) from specular microscopy images.
Fuchs' Endothelial Dystrophy Artificial Intelligence Aged Microscopy Female Aged, 80 and over Endothelium, Corneal Humans Cross-Sectional Studies Middle Aged Neural Networks, Computer Male Cell Count
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A high-speed microscopy system based on deep learning to detect yeast-like fungi cells in blood.

Bioanalysis Feb 9, 2024
Blood-invasive fungal infections can cause the death of patients, while diagnosis of fungal infections is challenging. A high-speed microscopy detection system was constructed that included a microfluidic system, a microscope connected to a high-sp...
Saccharomyces cerevisiae Microscopy Humans Sensitivity and Specificity Deep Learning
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Deep Learning-Based Culture-Free Bacteria Detection in Urine Using Large-Volume Microscopy.

Biosensors Feb 5, 2024
Bacterial infections, increasingly resistant to common antibiotics, pose a global health challenge. Traditional diagnostics often depend on slow cell culturing, leading to empirical treatments that accelerate antibiotic resistance. We present a novel...
Anti-Bacterial Agents Deep Learning Humans Urinary Tract Infections Bacteria Microscopy Bacterial Infections
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CellT-Net: A Composite Transformer Method for 2-D Cell Instance Segmentation.

IEEE journal of biomedical and health informatics Feb 5, 2024
Cell instance segmentation (CIS) via light microscopy and artificial intelligence (AI) is essential to cell and gene therapy-based health care management, which offers the hope of revolutionary health care. An effective CIS method can help clinicians...
Artificial Intelligence Image Processing, Computer-Assisted Humans Electric Power Supplies Somatostatin-Secreting Cells Microscopy Entropy
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Current Landscape of Advanced Imaging Tools for Pathology Diagnostics.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Feb 3, 2024
Histopathology relies on century-old workflows of formalin fixation, paraffin embedding, sectioning, and staining tissue specimens on glass slides. Despite being robust, this conventional process is slow, labor-intensive, and limited to providing two...
Artificial Intelligence Staining and Labeling Formaldehyde Microscopy Humans
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Protocol to train a support vector machine for the automatic curation of bacterial cell detections in microscopy images.

STAR protocols Feb 2, 2024
Manual curation of bacterial cell detections in microscopy images remains a time-consuming and laborious task. This work offers a comprehensive, step-by-step tutorial on training a support vector machine to autonomously distinguish between good and b...
Microscopy Machine Learning Support Vector Machine
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Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network.

IEEE transactions on medical imaging Feb 2, 2024
Ultrasound Localization Microscopy (ULM) can map microvessels at a resolution of a few micrometers ( [Formula: see text]). Transcranial ULM remains challenging in presence of aberrations caused by the skull, which lead to localization errors. Herein,...
Skull Ultrasonography Mice Brain Microscopy Animals Neural Networks, Computer Microbubbles
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A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection.

Scientific data Feb 1, 2024
Urinary tract infection (UTI) is a common disorder. Its diagnosis can be made by microscopic examination of voided urine for markers of infection. This manual technique is technically difficult, time-consuming and prone to inter-observer errors. The ...
Humans Urinary Tract Infections Microscopy Machine Learning Deep Learning Diagnostic Tests, Routine
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Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.

Scientific reports Jan 28, 2024
Staining is a crucial step in histopathology that prepares tissue sections for microscopic examination. Hematoxylin and eosin (H&E) staining, also known as basic or routine staining, is used in 80% of histopathology slides worldwide. To enhance the h...
Eosine Yellowish-(YS) Microscopy Artificial Intelligence Hazardous Substances
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Content-aware frame interpolation (CAFI): deep learning-based temporal super-resolution for fast bioimaging.

Nature methods Jan 18, 2024
The development of high-resolution microscopes has made it possible to investigate cellular processes in 3D and over time. However, observing fast cellular dynamics remains challenging because of photobleaching and phototoxicity. Here we report the i...
Single Molecule Imaging Deep Learning Motion Microscopy
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