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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

A fluorescence LIDAR sensor for hyper-spectral time-resolved remote sensing and mapping.

Lorenzo Palombi¹, Daniele Alderighi, Giovanna Cecchi

¹Institute for Applied Physics Nello Carrara - National Research Council of Italy, Via Madonna del Piano, 10, I50019 Sesto Fiorentino (FI), Italy.

|June 22, 2013

Summary

We developed a new LIDAR sensor for detailed analysis of laser-induced fluorescence. This sensor achieves high spectral and temporal resolution, enabling advanced material characterization.

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Area of Science:

Optics and Photonics
Spectroscopy
Remote Sensing

Background:

Laser-induced fluorescence (LIF) is a powerful technique for material analysis.
Acquiring time-resolved and spectrally resolved LIF data is crucial for detailed characterization.
Existing technologies may have limitations in combined spectral and temporal resolution or imaging capabilities.

Purpose of the Study:

To present a novel LIDAR sensor designed for time-resolved laser-induced fluorescence spectral acquisition.
To enable simultaneous spectral and temporal domain resolution for fluorescence data.
To provide imaging capabilities for mapping extended targets.

Main Methods:

Development of a LIDAR sensor with sequentially delayable gating times for fluorescence acquisition.
Integration of sub-nanometric spectral resolution and nanosecond time resolution capabilities.
Incorporation of a computer-controlled motorized steering mirror for biaxial angular scanning with 200 μrad resolution for imaging.
Systematic measurement repetition across a geometric grid for hyper-spectral time-resolved mapping.

Main Results:

The sensor successfully acquires time-resolved laser-induced fluorescence spectra.
Achieved sub-nanometric spectral resolution and nanosecond time resolution.
Demonstrated imaging capabilities for creating hyper-spectral time-resolved maps of targets.
The system allows for detailed spatial and temporal analysis of fluorescence phenomena.

Conclusions:

The developed LIDAR sensor offers advanced capabilities for time-resolved fluorescence spectroscopy.
The sensor's combined spectral, temporal, and imaging features open new possibilities in remote sensing and material analysis.
This technology facilitates comprehensive characterization of targets through hyper-spectral time-resolved mapping.