Research

We develop translational neurophotonic technologies spanning neurobiological imaging, neurobiology, and AI-driven analysis.

Neuromorphic, Event-based Optical Neural Imaging

We develop neuromorphic, event-based optical neural imaging that captures intensity changes asynchronously, enabling millisecond temporal resolution and efficient representation of dynamics. Our work spans custom system building, event/frame sensor fusion for neural and blood-flow imaging, and computational methods to extract meaningful spatiotemporal signals.

Metalens-based Light-Field Microscopy for High-Resolution Volumetric and Functional Imaging

We develop a metalens-integrated light-field microscopy (MetaLFM) platform for high-resolution volumetric reconstruction and functional imaging. MetaLFM improves both lateral and axial resolution across depth, enabling more faithful 3D imaging and depth-resolved functional calcium readouts.

Vascular dysfunction in Neurological disorders

Our research focuses on the role of meningeal and peripheral lymphatic systems in neurodegenerative and neurological disorders. We investigate how lymphatic dysfunction affects brain waste clearance, neurovascular integrity, and neural network function, with a particular emphasis on Alzheimer’s disease. By combining in vivo imaging, electrophysiology, and behavioral analysis with minimally invasive biofluid biomarkers, our work aims to bridge mechanistic insights from animal models to clinically relevant diagnostic and therapeutic strategies. Ultimately, we seek to develop translational approaches that enable early disease detection and non-invasive intervention by targeting lymphatic–neurovascular pathways.

Neuropathic Pain

We investigate how nerve injury remodels peripheral sensory circuits to drive neuropathic pain. A key focus is the DRG microenvironment, where neurons, glia, immune cells, and vasculature jointly shape sensory transduction and transmission.

Neurovascular–Neuroimmune Mechanisms of Chronic Pain in the DRG

We study chronic pain through neurovascular and neuroimmune interactions in the DRG microenvironment. By building a chronic DRG imaging window and volumetric functional imaging pipeline, we enable longitudinal observation of the vascular–lymphatic–neuronal axis.

AI-based Neuro Electrophysiology Platform

We build an AI-driven electrophysiology platform that combines HD-MEA recordings with scalable analytics. The goal is to quantify population dynamics, track network reorganization, and discover disease-relevant electrophysiological biomarkers.

Functional Diagnosis via Calcium Dynamics

We study malignant hyperthermia through functional calcium dynamics to enable safer and more accessible diagnosis. Our aim is non-invasive diagnostic concepts that complement invasive or clinically limited tests and translate well into practice.

Biophysical Modeling of Magnetic Stimulation in Neural Disease Models

We study magnetic stimulation from a biophysical modeling perspective to understand how fields interact with neuronal structures. Equation-based modeling and NEURON simulations support mechanistic interpretation, alongside molecular and cellular analyses.

Image Enhancement & Denoising & Restoration

We develop deep learning-based Image Enhancement methods for Microscopy Image. with a focus on improving image quality and extracting meaningful biological information from complex data.

Segmentation & Detection

We develop deep learning methods for Object detection, segmentation in biomedical images for analysis.