AIMC Topic: Optical Imaging

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Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence.

Scientific reports Jul 2, 2025
Oscillations are a common phenomenon in cell biology. They are based on non-linear coupling of biochemical reactions and can show rich dynamic behavior as found in, for example, glycolysis of yeast cells. Here, we show that dynamic mode decomposition...
Humans Machine Learning Algorithms Optical Imaging NAD Time-Lapse Imaging Glycolysis Glucose Saccharomyces cerevisiae
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Chemical imaging for biological systems: techniques, AI-driven processing, and applications.

Journal of materials chemistry. B Jun 18, 2025
Visualizing the chemical compositions of biological samples is pivotal to advancing biological sciences, with the past two decades witnessing the emergence of innovative chemical imaging platforms such as single-molecule imaging, coherent Raman scatt...
Machine Learning Animals Optical Imaging Humans Artificial Intelligence
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Deep-learning-enabled spatial frequency domain imaging of the spatiotemporal dynamics of skin physiology.

Journal of biomedical optics Apr 20, 2025
SIGNIFICANCE: Spatial frequency domain imaging (SFDI) is an emerging optical imaging modality for visualizing tissue absorption and scattering properties. This approach is promising for noninvasive wide field-of-view (FOV) monitoring of biophysiologi...
Humans Neural Networks, Computer Optical Imaging Skin Skin Physiological Phenomena Deep Learning Hemoglobins Image Processing, Computer-Assisted Melanins
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Biophysical modeling and artificial intelligence for quantitative assessment of anastomotic blood supply in laparoscopic low anterior rectal resection.

Surgical endoscopy Apr 14, 2025
PURPOSE: Fluorescence imaging is critical for intraoperative intestinal perfusion assessment in colorectal surgery, yet its clinical adoption remains limited by subjective interpretation and lack of quantitative standards. This study introduces an in...
Rectal Neoplasms Anastomosis, Surgical Optical Imaging Middle Aged Laparoscopy Rectum Aged Male Humans Artificial Intelligence Machine Learning Female
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Automated spectral decomposition and reconstruction of optical properties using a mixed autoencoder approach.

Journal of biomedical optics Apr 9, 2025
SIGNIFICANCE: Investigating optical properties (OPs) is crucial in the field of biophotonics, as it has a broad impact on understanding light-tissue interactions. However, current techniques, such as inverse Monte Carlo simulations (IMCS), have limit...
Optical Imaging Scattering, Radiation Autoencoder Phospholipids Monte Carlo Method Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Machine Learning-Assisted Multiplexed Fluorescence-Labeled miRNAs Imaging Decoding for Combined Mycotoxins Toxicity Assessment.

Analytical chemistry Apr 3, 2025
Mycotoxins, particularly deoxynivalenol (DON) and zearalenone (ZEN), are common food contaminants that frequently co-occur in grains, posing significant health risks. This study proposed a multiplexed detection platform for simultaneous quantificatio...
Limit of Detection Fluorescent Dyes Zearalenone Humans Machine Learning MicroRNAs Optical Imaging Mycotoxins Trichothecenes
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Deep learning-assisted cellular imaging for evaluating acrylamide toxicity through phenotypic changes.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Mar 19, 2025
Acrylamide (AA), a food hazard generated during thermal processing, poses significant safety risks due to its toxicity. Conventional methods for AA toxicology are time-consuming and inadequate for analyzing cellular morphology. This study developed a...
Optical Imaging Deep Learning Acrylamide Humans Phenotype
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Mapping human fingerprint beyond level-3 based on an amphiphilic aggregation-induced emission luminogen and the construction of intelligent platform for personal identification.

Analytica chimica acta Mar 10, 2025
BACKGROUND: Fluorescence imaging agents have been benefiting tremendously from tailor-made aggregation-induced emission (AIE) luminogens, owing to their high on-off ratio, large signal contrast, low background noise as well as the resistance to photo...
Aldehydes Optical Imaging Dermatoglyphics Humans Surface-Active Agents Fluorescent Dyes
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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.
Discriminant Analysis Skin Humans Optical Imaging Machine Learning Keratosis, Actinic Carcinoma, Squamous Cell Aged Diagnosis, Computer-Assisted Aged, 80 and over Male Female Support Vector Machine Middle Aged Skin Neoplasms Spectrometry, Fluorescence Carcinoma, Basal Cell
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Fast In Vivo Two-Photon Fluorescence Imaging via Lateral and Axial Resolution Restoration With Self-Supervised Learning.

Journal of biophotonics Feb 5, 2025
Two-photon fluorescence (TPF) imaging opens a new avenue to achieve high resolution at extended penetration depths. However, it is difficult for conventional TPF imaging systems to simultaneously achieve high resolution and speed. In this work, we de...
Supervised Machine Learning Signal-To-Noise Ratio Optical Imaging Time Factors Microscopy, Fluorescence, Multiphoton Animals Image Processing, Computer-Assisted Deep Learning Mice
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