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Recent Advances in Nanobiophotonics: Techniques, Challenges, and Emerging Directions
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Sanghwa Jeong

Sanghwa Jeong

School of Biomedical Convergence Engineering, Pusan National University

Dr. Sanghwa Jeong is an assistant professor at the School of Biomedical Convergence Engineering at Pusan National University in South Korea. His work focuses on developing novel optical nanoprobes specifically designed to detect and monitor biological signaling processes, with particular emphasis on neurochemical signaling pathways that govern brain function.Dr. Jeong's research approach is fundamentally interdisciplinary, combining expertise from nanoscience, chemistry, bioengineering, and data science to address complex neurobiological questions. This integration of fields enables him to push the boundaries of brain imaging and analysis. Currently, he is focused on developing a comprehensive dynamic in vivo neurochemical imaging toolkit. This innovative platform aims to uncover previously hidden aspects of brain function by providing real-time visualization of neurochemical processes occurring in living systems. The ultimate goal of this research is to gain new insights into brain mechanisms, which could lead to breakthrough discoveries in the treatment of neurological disorders.

Collection Overview

Nanobiophotonics represents a rapidly advancing interdisciplinary field at the intersection of nanotechnology, biology, and photonics, offering transformative capabilities in imaging, sensing, diagnostics, and therapeutics. The manipulation of light at the nanoscale has opened new avenues for understanding and controlling biological systems with unprecedented resolution and sensitivity. From the development of nanostructured probes and photonic devices to their integration into biomedical platforms, nanobiophotonics is redefining our ability to visualize molecular events, monitor cellular processes, and precisely deliver light-based therapies.

Despite its significant promise, the field faces several challenges, including the complexity of designing biocompatible and multifunctional nanostructures, limited standardization in protocols and measurement techniques, and the need for a deeper understanding of light-matter interactions within complex biological environments. Addressing these challenges requires a comprehensive platform that brings together methodological innovations, original research breakthroughs, and critical analyses of current trends and limitations.

This collection aims to provide a comprehensive platform for high-quality contributions that showcase various methods, breakthrough research, and insightful reviews spanning the diverse and evolving landscape of nanobiophotonics. We welcome submissions that advance the development, characterization, and application of nanoscale photonic technologies within biological contexts, encompassing experimental techniques, instrumentation, computational modeling, and interdisciplinary integration. By embracing a wide spectrum of approaches—from fundamental explorations of light-matter interactions to translational methodologies—this collection seeks to capture the dynamic progress and multifaceted nature of the field without limitation to any particular subdomain.

By uniting diverse methodologies, research findings, and reviews, this collection will serve as a dynamic repository for researchers, educators, and innovators across disciplines. 

Articles

Machine Learning-assisted Raman Spectral Analysis of Serotonin-responsive ssDNA-SWCNT Nanosensor for Improved Selectivity against Dopamine

Machine Learning-assisted Raman Spectral Analysis of Serotonin-responsive ssDNA-SWCNT Nanosensor for Improved Selectivity against Dopamine

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2026

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