Linear Variable Filter-Based Wide-Field Hyperspectral Camera for Multiplex Immunoplasmonics Imaging

Area of Science:

• Nanotechnology
• Biomedical Imaging
• Spectroscopy

Background:

• Hyperspectral imaging (HSI) and plasmonic nanoparticles (NPs) show promise for nanoscale diagnostics.
• Conventional push-broom HSI systems face limitations in acquisition speed and spatial resolution.
• Wide-field microscopy offers potential for faster, higher-resolution spectral imaging.

Purpose of the Study:

• To develop and validate a wide-field hyperspectral imaging platform for multiplexed plasmonic nanoparticle imaging.
• To overcome the limitations of conventional HSI systems for nanoscale biological diagnostics.
• To enable high-resolution, high-contrast spectral imaging of NPs on biological samples.

Main Methods:

• Integration of a custom linear variable tunable filter (LVTF) with reflected light microscopy (RLM).
• Acquisition of spectral data across the 380-720 nm range with 7-20 nm spectral resolution.
• Utilizing a support vector machine (SVM) for NP classification.

Main Results:

• Demonstrated high-resolution, high-contrast spectral imaging of NPs on cancer cell membranes.
• Successfully classified four distinct types of plasmonic nanoparticles with ~97% F-score using SVM.
• Achieved faster acquisition and improved spatial resolution compared to push-broom systems.

Conclusions:

• The developed LVTF-based RLM platform offers a compact, cost-effective solution for multiplex NP detection.
• This technology significantly enhances capabilities for bioimaging and immunoplasmonic applications.
• The system outperforms traditional RGB imaging and push-broom HSI for NP analysis.