AIMC Topic: Microscopy

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Microscope-Assisted Hypertensive Retinopathy Diagnosis Using Deep Learning Models.

Microscopy research and technique Mar 24, 2025
The retina is the most crucial part of the human eye, and it can be affected due to hypertension. However, retinal abnormalities due to hypertension are termed hypertensive retinopathy (HR). A severe stage of HR can lead to complete blindness if not ...
Humans Deep Learning Microscopy Retinal Vessels Hypertensive Retinopathy Image Processing, Computer-Assisted Retina
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SegElegans: Instance segmentation using dual convolutional recurrent neural network decoder in Caenorhabditis elegans microscopic images.

Computers in biology and medicine Mar 21, 2025
Caenorhabditis elegans is a great model for exploring organismal, cellular, and subcellular biology through optical and fluorescence microscopy, with its research applications steadily expanding. However, manual processing of numerous microscopic ima...
Image Processing, Computer-Assisted Microscopy Recurrent Neural Networks Caenorhabditis elegans Neural Networks, Computer Animals
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Deep learning method for malaria parasite evaluation from microscopic blood smear.

Artificial intelligence in medicine Mar 15, 2025
OBJECTIVE: Malaria remains a leading cause of global morbidity and mortality, responsible for approximately 5,97,000 deaths according to World Malaria Report 2024. The study aims to systematically review current methodologies for automated analysis o...
Microscopy Plasmodium Deep Learning Malaria Humans
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Digital Cytology Combined With Artificial Intelligence Compared to Conventional Microscopy for Anal Cytology: A Preliminary Study.

Cytopathology : official journal of the British Society for Clinical Cytology Mar 11, 2025
INTRODUCTION: Recent studies have shown that digital cytology (DC) coupled with artificial intelligence (AI) algorithms is a valid approach to the diagnosis of cervico-vaginal lesions using liquid-based cytology (LBC). We evaluated the use of these m...
Humans Aged Adult Uterine Cervical Neoplasms Artificial Intelligence Female Microscopy Anus Neoplasms Anal Canal Middle Aged Cytodiagnosis
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Recent Advances in Structured Illumination Microscopy: From Fundamental Principles to AI-Enhanced Imaging.

Small methods Mar 3, 2025
Structured illumination microscopy (SIM) has emerged as a pivotal super-resolution technique in biological imaging. This review aims to introduce the fundamental principles of SIM, primarily focuses on the latest developments in super-resolution SIM ...
Microscopy Image Processing, Computer-Assisted Lighting Humans Neural Networks, Computer Artificial Intelligence Algorithms Deep Learning
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applications.

Human genomics Feb 23, 2025
BACKGROUND: Researchers have increasingly adopted AI and next-generation sequencing (NGS), revolutionizing genomics and high-throughput screening (HTS), and transforming our understanding of cellular processes and disease mechanisms. However, these a...
High-Throughput Nucleotide Sequencing High-Throughput Screening Assays Artificial Intelligence Data Curation Humans Genomics Image Processing, Computer-Assisted Microscopy
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Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus.

ACS sensors Feb 17, 2025
In this article, we introduce a diagnostic platform comprising an optical microscopy image analysis system coupled with machine learning. Its efficacy is demonstrated in detecting SARS-CoV-2 virus particles at concentrations as low as 1 PFU (plaque-f...
Microscopy Machine Learning Support Vector Machine Image Processing, Computer-Assisted COVID-19 Immunoassay Humans Biosensing Techniques SARS-CoV-2 Surface Plasmon Resonance Neural Networks, Computer
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Machine learning with label-free Raman microscopy to investigate ferroptosis in comparison with apoptosis and necroptosis.

Communications biology Feb 11, 2025
Human and animal health rely on balancing cell division and cell death to maintain normal homeostasis. This process is accomplished by regulated cell death (RCD), whose imbalance can lead to disease. Currently, the most frequently used method for ana...
Machine Learning Mice Spectrum Analysis, Raman Animals Microscopy Cell Line Apoptosis Fibroblasts Ferroptosis Necroptosis
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ResGloTBNet: An interpretable deep residual network with global long-range dependency for tuberculosis screening of sputum smear microscopy images.

Medical engineering & physics Feb 8, 2025
Tuberculosis is a high-mortality infectious disease. Manual sputum smear microscopy is a common and effective method for screening tuberculosis. However, it is time-consuming, labor-intensive, and has low sensitivity. In this study, we propose ResGlo...
Tuberculosis Microscopy Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Sputum
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Machine learning models for segmentation and classification of cyanobacterial cells.

Photosynthesis research Feb 8, 2025
Timelapse microscopy has recently been employed to study the metabolism and physiology of cyanobacteria at the single-cell level. However, the identification of individual cells in brightfield images remains a significant challenge. Traditional inten...
Microscopy Cyanobacteria Image Processing, Computer-Assisted Neural Networks, Computer Software Machine Learning Algorithms
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