Biological imaging (bioimaging) is an evolving multidisciplinary field within bioengineering and biotechnology that involves the development, advancement, and application of cellular imaging methods and technologies crucial to the progress of more efficient and effective biomedical research. New bioimaging technologies allow measurements of biological processes at the cellular and molecular level with image processing and analysis playing an important part. The contributions of bioimaging are invaluable, enabling the development of diagnostic tools, computational software, and targeted therapies to be more successfully and comprehensively analyzed. The advancement of molecular and cellular bioimaging methods and technologies is therefore crucial to bioengineering and biotechnology, allowing for better knowledge and understanding of molecular and cellular biology.
Bioimaging has seen both rapid progress in recent years and encountered several challenges regarding the methods of image collection and subsequent image processing and re-use. New tools to improve these challenges, such as new non-invasive molecular imaging strategies and automated image processing software, are continuously being developed. This Research Topic aims to describe and document the most current discoveries surrounding image capture strategies and image processing methods that ultimately help to bridge the gap that exists between discovery in the basic sciences and its clinical application.
Specific topics include, but are not limited to:
• Biomolecular detection (sensing) and tracking
• Non-invasive in situ sensing strategies
• Non-invasive molecular imaging strategies
• Multifunctional advanced materials for therapy and sensing, tracking, or imaging
• Multimodal sensing, tracking, and imaging technologies
• Smart and stimuli-responsive materials
• Bioinspired materials/technologies for biosensing, biocatalysis, bio tracking, and bioimaging
• Advanced targeting technologies
• Automated image processing software
• Nanosensors
• Optical biosensors and biodevices
• Bioimaging diagnostics
Biological imaging (bioimaging) is an evolving multidisciplinary field within bioengineering and biotechnology that involves the development, advancement, and application of cellular imaging methods and technologies crucial to the progress of more efficient and effective biomedical research. New bioimaging technologies allow measurements of biological processes at the cellular and molecular level with image processing and analysis playing an important part. The contributions of bioimaging are invaluable, enabling the development of diagnostic tools, computational software, and targeted therapies to be more successfully and comprehensively analyzed. The advancement of molecular and cellular bioimaging methods and technologies is therefore crucial to bioengineering and biotechnology, allowing for better knowledge and understanding of molecular and cellular biology.
Bioimaging has seen both rapid progress in recent years and encountered several challenges regarding the methods of image collection and subsequent image processing and re-use. New tools to improve these challenges, such as new non-invasive molecular imaging strategies and automated image processing software, are continuously being developed. This Research Topic aims to describe and document the most current discoveries surrounding image capture strategies and image processing methods that ultimately help to bridge the gap that exists between discovery in the basic sciences and its clinical application.
Specific topics include, but are not limited to:
• Biomolecular detection (sensing) and tracking
• Non-invasive in situ sensing strategies
• Non-invasive molecular imaging strategies
• Multifunctional advanced materials for therapy and sensing, tracking, or imaging
• Multimodal sensing, tracking, and imaging technologies
• Smart and stimuli-responsive materials
• Bioinspired materials/technologies for biosensing, biocatalysis, bio tracking, and bioimaging
• Advanced targeting technologies
• Automated image processing software
• Nanosensors
• Optical biosensors and biodevices
• Bioimaging diagnostics