Sensing and Bio-Sensing Research is an open access journal devoted to research, design development and application of all bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials and validation studies of obvious relevance, which describe important new concepts, underpin understanding of the areas of interest or provide important insights into the practical application, manufacture and commercialisation of bio-sensing and sensing technologies.

The scope of Sensing and Bio-Sensing Research encompasses, but is not restricted to, the following areas:

•Sensing principles and mechanisms
•New materials development (transducers and sensitive/recognition components)
•Fabrication technology
•Optical devices
•Electrochemical devices
•Mass-sensitive devices
•Gas sensors
•Biosensors
•Analytical microsystems
•Environmental, process control and biomedical applications
•Signal processing
•Sensor and sensor-array chemometrics
•Optoelectronic sensors
•Mechanical sensors
•Thermal sensors
•Magnetic sensors
•Interface electronics
•Sensor Systems and Applications
•µTAS - Micro Total Analysis Systems (Microsystems for the generation, handling and analysis of (bio)chemical information)
•Development of solid-state devices for transducing physical signals
•Analytical devices incorporating a biological material

Special Issue on Integrative Microscopy and Spectroscopy Techniques for Bio-sensing and Diagnostic Applications
提出日: 2026-03-01

Sensing and Bio-Sensing Research will be launching a Special Issue in September 2025, which accepts research on optical microscopy and spectroscopy methods applied to biological sensing, including real-time, label-free, and computational approaches for diagnostics.

Guest editor:

Dr. Pietro Ricci
Email: ricci@lens.unifi.it
Affiliation: University of Florence, Florence, Italy

Special issue information:

Recent advances in integrative microscopy and spectroscopy are reshaping the landscape of biosensing and diagnostic technologies. This Special Issue “Integrative Microscopy and Spectroscopy Techniques for Bio-sensing and Diagnostic Applications” focuses on novel optical approaches that enable high-resolution, label-free, and real-time analysis of biological systems. Emphasis is placed on the development and integration of techniques such as Raman spectroscopy, fluorescence lifetime imaging, hyperspectral microscopy, and optical coherence tomography, as well as their hybridization with microfluidics and machine learning.

Importantly, the focus is on how these technologies contribute to active biological sensing, where optical signals are not simply acquired but interpreted to extract meaningful biological information. This includes, for instance, the identification of disease-related biomarkers through spectral fingerprints, the quantification of cellular responses via image-based metrics, or the continuous monitoring of physiological changes in living systems.

The Special Issue welcomes contributions that demonstrate how microscopy and spectroscopy become sensing tools coupled with advanced signal processing, pattern recognition, or computational interpretation. The goal is to showcase integrative systems that move beyond instrumentation, offering real diagnostic insight in biomedical and life science applications.

Manuscript submission information:

You are invited to submit your manuscript at any time before the submission deadline. For any inquiries about the appropriateness of contribution topics, please contact the Guest Editor.

The journal’s submission platform (Editorial Manager®) will be available for receiving submissions to this Special Issue from 1 September 2025. Please refer to the Guide for Authors to prepare your manuscript and select the article type of "VSI: Optics for Bio-sensing" when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage here: http://www.elsevier.com/locate/issn/2214-1804.

Submission deadline: 1 March 2026

Keywords:

Optical biosensing; Biomedical spectroscopy; Diagnostic imaging; Multimodal sensing; Bioanalytical signal processing; Non-invasive diagnostics; Photonic diagnostic technologies