Special issue in SLAS Technology – completed manuscripts accepted until May 31, 2025.
This special issue explores the transformative advancements in biomedical imaging technologies that reshape clinical practice and biomedical research.
Guest Editors:
Mutasem Alsmadi, Ph.D.
Imam Abdurrahman Bin Faisal University
Vinay Chamola, Ph.D.
Birla Institute of Technology and Science
Muhammad Attique Khan, Ph.D.
Prince Mohammad Bin Fahd University, Al Khobar
Yudong Zhang, Ph.D.
University of Leicester
Biomedical imaging has advanced from basic techniques like X-ray and ultrasound to sophisticated methods such as MRI, CT and optical imaging. These developments allow high-resolution, three-dimensional visualization of tissues and real-time monitoring of molecular and cellular functions, improving diagnosing and managing diseases like cancer and neurological conditions. Innovations in optical imaging, including fluorescence and super-resolution microscopy, along with PET and SPECT, have enabled detailed studies of biological processes at the molecular level. These technologies now allow real-time observation of neuronal signaling and brain activity, enhancing our understanding of cognitive and motor functions.
Applications of these advanced imaging techniques extend across various fields, ranging from early disease diagnosis and precision surgery to drug development and personalized medicine. However, challenges remain, including the need for higher resolution and sensitivity to detect small or low-abundance molecules, the high cost of advanced equipment and the complexity of managing and analyzing large datasets.
To overcome these limitations, this special issue highlights emerging solutions, such as integrating artificial intelligence (AI) and quantum imaging, which promise to enhance resolution, sensitivity and data processing capabilities significantly. Bringing together contributions from leading researchers across disciplines provides a comprehensive overview of how these technological innovations are revolutionizing biomedical imaging. It underscores their potential to redefine our understanding of biology, improve clinical outcomes and accelerate therapeutic development.
Keywords:
Submit your manuscript before May 31, 2025. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Technology Special Issue contributions.
Special issue in SLAS Technology – completed manuscripts accepted until December 31, 2025.
We invite researchers, scientists, and industry experts to submit articles on work related to the lab of the future, cloud lab or walk-away lab.
Guest Editors:
Kalpesh Gupta, Ph.D.
Moderna
Mario Richter, Ph.D.
Abbvie
We are excited to announce a special edition on "Lab of the Future" in the field of lab automation. This edition aims to explore cutting-edge advancements, innovative technologies, and visionary concepts that are shaping the future of laboratories. We invite researchers, scientists, and industry experts to submit their original research papers, case studies and review articles.
Topics of interest include, but are not limited to:
Submit your manuscript before December 31, 2025. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Technology Special Issue contributions.
Questions? Please e-mail SLAS Publishing Manager Jenny Cunningham (jcunningham@slas.org).
