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Fabrication and Testing of Microfluidic Optomechanical Oscillators
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Published on: May 29, 2014

Reliable, inexpensive microcomputer interface for the optical multichannel analyzer (OMA).

D Holten1, D A Cremers, S C Pyke

  • 1Department of Chemistry, Washington State University, Pullman, Washington 99164.

The Review of Scientific Instruments
|December 1, 1979
PubMed
Summary
This summary is machine-generated.

A simple microprocessor system and interface enhance optical multichannel analyzers (OMA) for data acquisition and analysis. This system offers easy implementation for transient absorption spectroscopy and other spectroscopic applications.

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Area of Science:

  • Spectroscopy
  • Instrumentation
  • Computer Science

Background:

  • Optical multichannel analyzers (OMA) are crucial for spectroscopic measurements.
  • Efficient data acquisition, analysis, and storage are essential for advanced spectroscopic techniques.
  • Transient absorption spectroscopy requires high-resolution data handling.

Purpose of the Study:

  • To describe a microprocessor system and interface for an OMA.
  • To enable simple and easy implementation of hardware and software for OMA data processing.
  • To utilize the system for a high-resolution transient absorption spectrometer.

Main Methods:

  • Development of a microprocessor system and interface for OMA.
  • Integration of the microcomputer with OMA in two-dimensional (2-D) mode.
  • Application as a data acquisition, analysis, and storage system.

Main Results:

  • The interface hardware and software are simple and easy to implement.
  • The system successfully functions as a data acquisition, analysis, and storage unit for a transient absorption spectrometer.
  • Demonstrated 8-ps resolution capabilities.

Conclusions:

  • The described microprocessor system and interface are effective for OMA applications.
  • The system offers general utility for rapid transfer, processing, and storage of spectroscopic data from OMA.
  • Facilitates advanced spectroscopic analysis and data management.