Optical imaging has gradually developed into a multi-disciplinary and intersectional technology, which is widely used in biomedical research and clinical diagnosis. Different from other imaging modalities, optical imaging technique provides a visual access to various physical and biological phenomena, and implement minimally invasive disease diagnosis and treatment. Especially since has been stridden in the new century, advanced microscopic instrument design technique provide integrated platforms for various optoelectronic devices and imaging methods. State-of-the-art optical methods such as adaptive optics, deep tissue focusing and computational imaging improve the image resolution and precision. And excellent image processing and analysis algorithms such as deconvolution, deep learning, automatic tracing contribute to higher efficiency and intelligence in biomedical research. Biological techniques such as tissue optical clearing, labeling technique offer better optical detection indexes. To date, the combination of various interdisciplinary technologies accelerate the popularization of optics and biophotonics in biomedical research.
However, due to optical aberrations caused by a series of complex issues such as tissue scattering, motion and system assembly errors, the imaging quality degrades significantly in practical biomedical applications. To meet higher requirements of modern biological and clinical applications, better microscopic instrument design schemes, innovative deep tissue imaging methods, novel image processing and analysis methods are necessary. Especially, this Research Topic focuses on using innovative imaging tools and strategies based on multi-interdisciplinary techniques such as instrument design, adaptive optics, deep learning, computer graphics, tissue optical clearing, fluorescence labeling to achieve imaging, focusing and analysis in complex biological tissue, promoting the development of biomedical researches and clinical applications.
This Research Topic welcome contributions encompassing advances in biomedical imaging, focusing, analysis and clinical diagnosis via innovative interdisciplinary techniques or methods. Potential contributions include but are not limited to the following topics.
- Design and implementation of microscopic instruments in biomedical and clinical field
- Optical focusing or optical shaping techniques in biological tissues
- Nonlinear optical microscopy techniques and their applications
- The mathematical model analysis and verification of novel imaging methods
- Image reconstruction and processing algorithms in optical microscopy
- Resolution restoration and enhancement methods (e.g. deconvolution methods, super-resolution algorithms)
- Deep learning assisted clinical disease diagnosis and analysis
- The paradigms of biological techniques (e.g. tissue optical clearing, immunolabeling techniques)
Optical imaging has gradually developed into a multi-disciplinary and intersectional technology, which is widely used in biomedical research and clinical diagnosis. Different from other imaging modalities, optical imaging technique provides a visual access to various physical and biological phenomena, and implement minimally invasive disease diagnosis and treatment. Especially since has been stridden in the new century, advanced microscopic instrument design technique provide integrated platforms for various optoelectronic devices and imaging methods. State-of-the-art optical methods such as adaptive optics, deep tissue focusing and computational imaging improve the image resolution and precision. And excellent image processing and analysis algorithms such as deconvolution, deep learning, automatic tracing contribute to higher efficiency and intelligence in biomedical research. Biological techniques such as tissue optical clearing, labeling technique offer better optical detection indexes. To date, the combination of various interdisciplinary technologies accelerate the popularization of optics and biophotonics in biomedical research.
However, due to optical aberrations caused by a series of complex issues such as tissue scattering, motion and system assembly errors, the imaging quality degrades significantly in practical biomedical applications. To meet higher requirements of modern biological and clinical applications, better microscopic instrument design schemes, innovative deep tissue imaging methods, novel image processing and analysis methods are necessary. Especially, this Research Topic focuses on using innovative imaging tools and strategies based on multi-interdisciplinary techniques such as instrument design, adaptive optics, deep learning, computer graphics, tissue optical clearing, fluorescence labeling to achieve imaging, focusing and analysis in complex biological tissue, promoting the development of biomedical researches and clinical applications.
This Research Topic welcome contributions encompassing advances in biomedical imaging, focusing, analysis and clinical diagnosis via innovative interdisciplinary techniques or methods. Potential contributions include but are not limited to the following topics.
- Design and implementation of microscopic instruments in biomedical and clinical field
- Optical focusing or optical shaping techniques in biological tissues
- Nonlinear optical microscopy techniques and their applications
- The mathematical model analysis and verification of novel imaging methods
- Image reconstruction and processing algorithms in optical microscopy
- Resolution restoration and enhancement methods (e.g. deconvolution methods, super-resolution algorithms)
- Deep learning assisted clinical disease diagnosis and analysis
- The paradigms of biological techniques (e.g. tissue optical clearing, immunolabeling techniques)
