AIMC Topic: Microscopy

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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...
Deep Learning Malaria Microscopy Humans Plasmodium
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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...
Anus Neoplasms Anal Canal Artificial Intelligence Cytodiagnosis Female Humans Adult Microscopy Middle Aged Aged Uterine Cervical Neoplasms
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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 ...
Humans Neural Networks, Computer Artificial Intelligence Image Processing, Computer-Assisted Lighting Microscopy 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 Artificial Intelligence High-Throughput Screening Assays Image Processing, Computer-Assisted Data Curation Humans Genomics 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 COVID-19 Support Vector Machine SARS-CoV-2 Image Processing, Computer-Assisted Humans Immunoassay Biosensing Techniques Neural Networks, Computer Surface Plasmon Resonance
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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 Microscopy Cell Line Mice Apoptosis Ferroptosis Animals Spectrum Analysis, Raman Fibroblasts 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 Image Processing, Computer-Assisted Humans Sputum Neural Networks, Computer
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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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Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning.

Communications biology Feb 3, 2025
The selection of high-performing cell lines is crucial for biopharmaceutical production but is often time-consuming and labor-intensive. We investigated label-free multimodal nonlinear optical microscopy for non-perturbative profiling of biopharmaceu...
CHO Cells Cricetulus Microscopy Cricetinae Microscopy, Fluorescence Machine Learning Animals
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Detecting living microalgae in ship ballast water based on stained microscopic images and deep learning.

Marine pollution bulletin Feb 1, 2025
Motivated by the need of rapid detection of living microalgae cells in ship ballast water, this study is intended to determine the activities of microalgae using stained microscopic images and detect the living cells with image processing algorithms....
Environmental Monitoring Ships Microscopy Deep Learning Image Processing, Computer-Assisted Microalgae
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