Aims and Scope

Computational Imaging and Measurement (CIM) is an international, open-access journal dedicated to publishing high-impact, original research in the fields of computational imaging and computational optical measurement technologies. The journal provides a platform for pioneering theoretical and experimental work in computational imaging and metrology, driving both fundamental advancements and applied innovations across a broad spectrum of scientific, engineering, and industrial applications.

CIM seeks articles that will significantly contribute to the optical imaging, metrology, and broader scientific communities. The acceptance criteria for the journal include:

• Significance and Potential Impact: Novel advancements in computational imaging and measurement technologies, with significant implications for science, engineering, or industry.
• Originality: Articles offering fresh insights, methods, or applications that push boundaries in imaging and measurement technologies.
• High Technical Quality: Research that demonstrates scientific rigor, accuracy, and reproducibility.
• Readability and Broader Interest: Well-written, accessible research that engages both specialists and interdisciplinary researchers.

The journal publishes the following types of articles:

• Research Letters: Short (4 pages) articles presenting rapid breakthroughs or innovative findings with significant implications.
• Research Articles: Full-length articles (6-8 pages) presenting original, high-impact research.
• Mini-Reviews: Concise (8-12 pages) articles offering critical insights into emerging trends, theories, or technologies.
• Comprehensive Reviews: In-depth (12+ pages) reviews providing a critical summary of a specific topic, from its historical background to current developments and potential future applications.
• Short Correspondences: Brief (2 pages) announcements of exciting discoveries or innovations in the field.
• News and Views: A section (2-4 pages) dedicated to the rapid dissemination of important breakthroughs, trends, and emerging topics. This section provides timely overviews of developments in the field and expert perspectives on their impact.
• Comments and Replies: Discussions that engage with previously published research or raise important questions, providing a platform for scientific dialogue within the community.

By maintaining a highly selective review process, CIM ensures that only the most innovative and impactful research is published, facilitating the rapid exchange of ideas and fostering interdisciplinary collaboration across the computational imaging, measurement, and metrology communities.

The journal's scope includes, but is not limited to, the following areas:

1. Advances in Computational Imaging: Research on novel computational imaging techniques and systems that push the boundaries of traditional imaging modalities. This includes developments in quantum imaging, light-field imaging, hyperspectral imaging, 3D imaging, and computational microscopy, aimed at improving resolution, sensitivity, and performance in diverse applications such as medical imaging, environmental monitoring, and industrial inspection.
2. Innovative Optical Measurement Technologies: Contributions exploring new measurement methods and systems for high-precision, high-dimensional measurement of physical, optical, mechanic, and biological phenomena. Topics include optical metrology, atomic-scale measurements, real-time sensing technologies, and advancements in sensor design, data acquisition systems, and measurement automation.
3. Machine Learning and AI in Imaging and Measurement: Application of artificial intelligence, machine learning, and deep learning to enhance imaging and measurement systems. This includes research on image reconstruction, data interpretation, automated analysis, and the development of intelligent systems that adapt to dynamic environments and enable real-time decision-making.
4. Multimodal and Hybrid Imaging Systems: Research on systems that integrate multiple imaging modalities, such as optical, X-ray, MRI, and ultrasound, to enable comprehensive data acquisition and analysis. Emphasis is placed on applications in precision medicine, environmental monitoring, industrial inspection, and remote sensing, where multimodal systems offer richer insights and improved performance.
5. Applications in Complex Environments: Exploration of imaging and measurement technologies in challenging environments, such as imaging through scattering media (e.g., biological tissues, fog, underwater), remote sensing, and through-substance imaging. The journal highlights innovations that enable these systems to perform effectively in real-world conditions across diverse applications like medical diagnostics, industrial quality control, and earth sciences.
6. Integration and Standardization: Contributions that focus on integrating advanced imaging and measurement technologies into practical systems. The journal also encourages the development of standards for system calibration, performance evaluation, and data quality assurance, which are essential for the widespread adoption of these technologies in industrial and academic settings.

By showcasing cutting-edge research in computational imaging and measurement technologies, Computational Imaging and Measurement seeks to foster interdisciplinary collaboration between academia, industry, and healthcare, supporting the advancement of technologies with broad and transformative impacts across science, engineering, and medicine.

Publication Frequency

Quarterly.

Publishing Model

CIM is an open-access journal that ensures all content is freely available to users and their institutions without any associated costs. Users are granted full rights to read, download, copy, distribute, print, search, and link to the full texts of articles, as well as to use them for any other lawful purposes, without the need for prior permission from the publisher or the author. This policy aligns with the principles of open access, promoting the broad dissemination of scientific knowledge to a global audience and enhancing the accessibility of high-quality research.

Licensing and Copyright

CIM is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Authors retain the copyright of their work and agree to make their original works freely available for use, copying, and redistribution in all formats without needing permission, provided that proper citation is given to the authors and the original source. This license allows others to share, adapt, and build upon the work, fostering collaboration and further innovation in the field.

Digital Archive

All content published in CIM is archived and made permanently available through the Portico digital archive, ensuring long-term access and preservation of the journal's articles.