AIMC Topic: Photons

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Smart photonic crystal fiber optical sensor for tuberculosis detection with machine learning integration.

Scientific reports
One of the most common infectious disease-related causes of death globally, particularly in low- and middle-income nations, persists: tuberculosis. At a manifestation of globalization, causes of death keep growing. As it happens, we have developed a ...

Design and analysis of a GaN-based 2D photonic crystal biosensor integrated with machine learning techniques for detection of skin diseases.

Scientific reports
Photonic crystals are prevalent in the detection of assorted diseases and malignancies such as vitiligo and cutis laxa. A 2D photonic crystal utilizing GaN is demonstrated to detect skin diseases, highlighting its substantial relevance to the photoni...

Chiral Photonic Ionic Skin for Ultrafast, Hysteresis-Free Mechanosensing.

ACS nano
Biological skins integrate optical and electrical signaling for dynamic environmental interactions, inspiring the development of artificial photonic ionic skins. However, existing synthetic systems often lack mechanical robustness, fast response, and...

Chemical Space of Molecular Nanomotors: Optimizing Photochemical Properties for One- and Two-Photon Applications.

Journal of chemical information and modeling
Light-driven molecular nanomotors hold promise for applications in materials science and biomedicine. Significant efforts have focused on improving their efficiency, often targeting single candidate molecules. Here, we present a systematic, data-driv...

Insertion of hepatic lesions into clinical photon-counting-detector CT projection data.

Physics in medicine and biology
To facilitate task-driven image quality assessment of lesion detectability in clinical photon-counting-detector CT (PCD-CT), it is desired to have patient image data with known pathology and precise annotation. Standard patient case collection and re...

Assessing the feasibility of deep learning-based attenuation correction using photon emission data inF-FDG images for dedicated head and neck PET scanners.

Biomedical physics & engineering express
This study aimed to evaluate the use of deep learning techniques to produce measured attenuation-corrected (MAC) images from non-attenuation-corrected (NAC) F-FDG PET images, focusing on head and neck imaging. A Residual Network (ResNet) was used to ...

optiGAN: a deep learning-based alternative to optical photon tracking in Python-based GATE (10+).

Physics in medicine and biology
To accelerate optical photon transport simulations in the GATE medical physics framework using a generative adversarial network (GAN), while ensuring high modeling accuracy. Traditionally, detailed optical Monte Carlo methods have been the gold stand...

Towards large nuclear imaging system optical simulations with optiGAN, a generative adversarial network.

Physics in medicine and biology
Optical Monte Carlo (MC) simulations are essential for modeling light transport in radiation detectors used in nuclear imaging and high-energy physics. However, full-system simulations remain computationally prohibitive due to the need to track optic...

Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the use of smoother reconstruction kernels that reduce resolution below the 0.125-mm maximum spatial re...

Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

Journal of thoracic imaging
PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.