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Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

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Smartphone laser beam spatial profiler.

Md Arafat Hossain, John Canning, Kevin Cook

|November 14, 2015

Summary

This summary is machine-generated.

A portable, smartphone-based laser beam profiler was developed for easy characterization of laser beam profiles. This low-cost device uses a phosphor converter and a custom app for UV laser analysis, enabling widespread application.

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Area of Science:

Optics and Photonics
Laser Technology
Instrumentation

Background:

Accurate laser beam characterization is crucial for various scientific and industrial applications.
Existing laser beam profilers can be expensive, bulky, and complex to operate.
There is a need for accessible, portable, and cost-effective laser diagnostic tools.

Purpose of the Study:

To develop a simple, low-cost, and portable laser beam profiler.
To enable characterization of laser beam profiles using a smartphone.
To demonstrate the device's capability for analyzing UV lasers.

Main Methods:

Utilized a phosphor silica glass plate to convert UV laser light to visible (green) light.
Integrated the phosphor plate with a smartphone's CMOS sensor via a 3D-printed instrument package.
Developed a customized smartphone application for data acquisition and analysis.
Measured beam diameter, shape, divergence, beam quality factor, and output power.

Main Results:

Successfully characterized two UV lasers: a CW 244 nm frequency-doubled Ar ion laser and a pulsed 193 nm ArF exciplex laser.
Demonstrated the portability and ease of use of the smartphone-based laser beam profiler.
Confirmed the potential for extending the instrument's range using different phosphor converters.

Conclusions:

The developed smartphone-based laser beam profiler offers a simple, low-cost, and portable solution for laser characterization.
The technology can be extended to various spectral ranges (UV to near-infrared and beyond) with appropriate phosphor converters.
The integration with smartphone platforms facilitates widespread adoption and potential for networked, simultaneous measurements.