Photonics-based technologies have advanced rapidly and have been widely used in different biomedical applications. In bioimaging, optical methods offer unique advantages in terms of resolution, contrast, sensitivity, non-contact or minimally invasive access, rapid and cost-effective solutions for point-of-care testing, etc. In therapeutics, interactions between light and tissues have been investigated. Lasers have been applied in surgery or in other treatments of disease (e.g., tissue cutting, photodynamic therapy, and other photo therapies). Moreover, advanced image processing techniques such as compressed sensing and deep learning have been applied in improving image reconstruction and image analysis (e.g., resolution enhancement, image restoration, segmentation, and classification).
This research topic aims to highlight the recent and original progress in developing leading-edge biophotonics technologies and image processing algorithms for optical imaging. The topics shall include the most recent progress in the following areas (but are not limited to):
• Novel optical imaging techniques at different scales including but not limited to nanoscopic (e.g., super-resolution), microscopic (e.g., multi- photon, confocal microscopy), mesoscopic (e.g., OCT, PAT), and macroscopic (e.g., diffuse optics) and their biomedical applications;
• Spectroscopy-based detection methods including but not limited to fluorescence, Raman, elastic scattering, evanescence-wave, near-/mid-IR spectroscopy;
• Multi-modal imaging methods and their biomedical applications;
• Light tissue interaction, e.g., photostimulation and therapeutics;
• Image reconstruction and image processing algorithms for optical imaging;
• Resolution enhancement, and image restoration for optical images (e.g., denoising, inpainting, deconvolution, and super-resolution);
• Applications of artificial intelligence in medical/biomedical optical image analysis (e.g., object detection, segmentation, and classification).
Photonics-based technologies have advanced rapidly and have been widely used in different biomedical applications. In bioimaging, optical methods offer unique advantages in terms of resolution, contrast, sensitivity, non-contact or minimally invasive access, rapid and cost-effective solutions for point-of-care testing, etc. In therapeutics, interactions between light and tissues have been investigated. Lasers have been applied in surgery or in other treatments of disease (e.g., tissue cutting, photodynamic therapy, and other photo therapies). Moreover, advanced image processing techniques such as compressed sensing and deep learning have been applied in improving image reconstruction and image analysis (e.g., resolution enhancement, image restoration, segmentation, and classification).
This research topic aims to highlight the recent and original progress in developing leading-edge biophotonics technologies and image processing algorithms for optical imaging. The topics shall include the most recent progress in the following areas (but are not limited to):
• Novel optical imaging techniques at different scales including but not limited to nanoscopic (e.g., super-resolution), microscopic (e.g., multi- photon, confocal microscopy), mesoscopic (e.g., OCT, PAT), and macroscopic (e.g., diffuse optics) and their biomedical applications;
• Spectroscopy-based detection methods including but not limited to fluorescence, Raman, elastic scattering, evanescence-wave, near-/mid-IR spectroscopy;
• Multi-modal imaging methods and their biomedical applications;
• Light tissue interaction, e.g., photostimulation and therapeutics;
• Image reconstruction and image processing algorithms for optical imaging;
• Resolution enhancement, and image restoration for optical images (e.g., denoising, inpainting, deconvolution, and super-resolution);
• Applications of artificial intelligence in medical/biomedical optical image analysis (e.g., object detection, segmentation, and classification).