AIMC Topic: Optical Imaging

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Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data.

The veterinary quarterly
Study advances current diagnostic efficiency of canine/feline (sub-)cutaneous tumors using machine learning and multimodal imaging data. White light (WL), fluorescence (FL) and ultrasound (US) imaging were combined into hybrid approaches to different...

Metasurface-enhanced terahertz imaging for glioblastoma in orthotopic xenograft mouse model combined with neural network decision making.

Biosensors & bioelectronics
Terahertz (THz) optical sensing and imaging offer significant potential in a range of biological and medical applications owing to their low-energy, non-ionizing nature, and ultra-broadband spectral information, which includes numerous molecular fing...

Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery.

IEEE transactions on bio-medical engineering
This study introduces a novel data-centric approach to improve real-time surgical guidance using fiber-based fluorescence lifetime imaging (FLIm). A key aspect of the methodology is the accurate detection of the aiming beam, which is essential for lo...

Next-Generation Optical Imaging and Spectroscopy: AI and Chemometrics in Assessing Authenticity, Nutrition, and Hazard Factors in Cereals.

Comprehensive reviews in food science and food safety
Cereal quality significantly influences human health, requiring thorough evaluation of authenticity, nutritional composition, and food safety hazards. Conventional detection methods are often characterized by limitations, including time-consuming int...

Deep Learning-Based Saturation Compensation for High Dynamic Range Multispectral Fluorescence Lifetime Imaging.

IEEE transactions on bio-medical engineering
In multispectral fluorescence lifetime imaging (FLIm), achieving consistent imaging quality across all spectral channels is crucial for accurately identifying a wide range of fluorophores. However, these essential measurements are frequently compromi...

Deep Learning for Fluorescence Lifetime Predictions Enables High-Throughput In Vivo Imaging.

Journal of the American Chemical Society
Fluorescence lifetime imaging microscopy (FLIM) is a powerful optical tool widely used in biomedical research to study changes in a sample's microenvironment. However, data collection and interpretation are often challenging, and traditional methods ...

A Closed-Loop Environmental Health Management Platform: A Multifunctional MgFeO Nanoparticle Enabling AI-Enhanced Detection, Bioimaging, and Degradation of Tetracycline Antibiotics.

Analytical chemistry
Emerging pollutants such as tetracycline antibiotics (TCs) have garnered attention due to their ecological impacts and the evolution of drug resistance. However, the comprehensive monitoring of TCs remains inadequate. This study presents a multifunct...

Characterization of digital camera-based UV illumination fluorescent imaging for concentration measurement with limit of detection, specificity and precision.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Nowadays the increased need for pharmaceutics requires fast, cheap and reliable quality control systems to investigate the final product's quality. The generally used methods like high-pressure liquid chromatography (HPLC) and other coupled technique...

A multimodal deep learning model for detecting endoscopic images of near-infrared fluorescence capsules.

Biosensors & bioelectronics
Early screening for gastrointestinal (GI) diseases is critical for preventing cancer development. With the rapid advancement of deep learning technology, artificial intelligence (AI) has become increasingly prominent in the early detection of GI dise...