Dr. HongjeJang | Engineering | Best Researcher Award

Dr. HongjeJang, University of California, San Diego/Bioengineering Department, United States

🔬 Dr. Hongje Jang is a visionary researcher specializing in super-resolution multi-dimensional chemical imaging and analysis methods for biological samples. Holding a Ph.D. in Physics from Gerog-August-Universität Göttingen, Dr. Jang’s expertise spans microscopy image analysis, biomolecule reaction dynamics, and instrumentation development. As a PostDoc at UC San Diego, under Prof. Lingyan Shi’s guidance, he has pioneered advancements in super-resolution stimulated Raman scattering (SRS) microscopy, pushing the boundaries of spatial resolution. With a diverse educational background and extensive skills in optics, programming, and chemistry, Dr. Jang is a trailblazer in advancing our understanding of complex biological systems.

Publication Profile:

Google Scholar

Education:

🎓 Driven by a passion for unraveling the mysteries of biological systems, Dr. Hongje Jang boasts an impressive academic journey. After completing a B.A. in Chemistry at Yonsei University, South Korea, in 2009, he pursued an Integrated Master and Doctorate Course, achieving a remarkable GPA of 94.6/100. His academic pursuit culminated in a Ph.D. in Physics from Gerog-August-Universität Göttingen in 2021, where his thesis, “Fast, Three-Dimensional Fluorescence Imaging of Living Cells,” showcased groundbreaking work. Currently undertaking PostDoc training at UC San Diego’s Bioengineering Department under the guidance of Prof. Lingyan Shi, Dr. Hongje Jang continues to contribute significantly to the field.

Skills & Knowledge:

🔬 Dr. Hongje Jang is a versatile scientist with a rich skill set spanning Optics, Imaging & Spectroscopy, Programming, Chemistry, Instrumentation, and Biology. With expertise in techniques like Stimulated Raman Scattering, Second Harmonic Generation, and Multi-photon fluorescence imaging, he brings over 8 years of proficiency in high-resolution AFM and TIRFM imaging. Dr. Jang excels in programming languages like Python (TensorFlow), Matlab, and LabView, utilizing them for image deconvolution, analysis, and instrumentation. His competence extends to Ab-Initio molecular simulation for Raman and IR spectroscopy, coupled with a deep understanding of standard optical-based microscopy techniques. Proficient in cell culture and cardiomyocyte handling, Dr. Jang’s interdisciplinary skills drive innovation in bioimaging.

Research Focus :

🔬 Dr. Hongje Jang’s research focus encompasses cutting-edge developments in bioimaging and spectroscopy. Specializing in super-resolution stimulated Raman scattering (SRS) microscopy, his work delves into advanced imaging methods such as A-PoD (deconvolution) and multi-molecular hyperspectral PRM-SRS. Dr. Jang’s studies unveil the intricacies of biological systems, including lipid metabolic dynamics in aging Drosophila brains and the spatially correlated metabolism in aging and diseases. His expertise extends to ultrafast nonlinear multimodal metabolic imaging, adding depth to the understanding of metabolic activities. With a diverse portfolio, Dr. Jang contributes significantly to the fields of biophysics and materials research.

Publication Top Notes:

• Graphene nanoribbons formed by a sonochemical graphene unzipping using flavin mononucleotide as a template

• Chemical amplification accelerates reactive oxygen species triggered polymeric degradation

• Super-resolution SRS microscopy with A-PoD

• Rapid multi-plane phase-contrast microscopy reveals torsional dynamics in flagellar motion

• Multi-molecular hyperspectral PRM-SRS imaging

• Bioorthogonal Stimulated Raman Scattering Imaging Uncovers Lipid Metabolic Dynamics in Drosophila Brain During Aging

• Super-resolution stimulated Raman Scattering microscopy with A-PoD

• pH-Dependent morphology and optical properties of lysine-derived molecular biodynamers

• Bioorthogonal Chemical Imaging of Cell Metabolism Regulated by Aromatic Amino Acids

• Ultrafast nonlinear multimodal metabolic imaging platform for studying aging and diseases