Song Pang

Song Pang is a researcher at Yale School of Medicine, directing the FIB-SEM Collaboration Core (F-SCC). Her work focuses on advancing enhanced Focused Ion Beam Scanning Electron Microscopy (eFIB-SEM) technology for high-resolution imaging in translational and clinical research.

Research Interests

Pang specializes in:

• Subcellular Architecture: Mapping organelle organization and interactions in health and disease states
• Connectomics: Developing 3D atlases for neuronal circuits and sensory systems
• Biomedical Imaging: Innovating volume electron microscopy techniques for cellular and tissue analysis
• Metabolic Disease: Investigating hepatic ER-mitochondria dynamics in obesity and fasting

Scientific Contributions

Her research has produced landmark publications in Nature, Cell, and Science, including:

• The first open-access 3D atlas using eFIB-SEM
• Breakthroughs in mechanosensory receptor architecture
• Novel insights into cilia-mediated neural signaling
• Advancements in photomask inspection and semiconductor integration