Integrated semiconductor optical sensors for cellular and neural imaging

Area of Science:

• Biomedical Optics
• Sensor Technology
• Nanotechnology

Background:

• Integrated optical sensors are crucial for advancing functional brain imaging and in vivo cancer monitoring.
• Existing technologies face limitations in dynamic range and sensitivity for cellular-level analysis.

Purpose of the Study:

• To review and present semiconductor-based optical sensors for functional brain imaging.
• To explore localized index-of-refraction sensing for lab-on-a-chip devices.
• To enable in vivo continuous monitoring of tumor and cancer stem cells.

Main Methods:

• Analysis of intrinsic optical signals and tissue optics simulations.
• Development and characterization of guided resonance filters for index-of-refraction sensing.
• Fabrication and testing of thermally evaporated emission filters for fluorescence sensing.

Main Results:

• High dynamic range and low dark-current neural sensors are necessary for accurate brain imaging.
• Guided resonance filters show capability for cellular-scale index-of-refraction sensing.
• Emission filters enhance sensitivity for in vivo fluorescence detection.

Conclusions:

• Semiconductor-based optical sensors show significant promise for diverse biomedical applications.
• Integrated biosensors can be enhanced with precise index-of-refraction sensing capabilities.
• Advanced optical sensing technologies are vital for improved cancer diagnostics and therapeutics.