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Interface for LST Raman Microscope with camera view, Raman map and spectrum view and signal database searching.

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Raman Microscope Project

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Interface for LST Raman Microscope with camera view, Raman map and spectrum view using CNC 3018.

Overview

The Raman Microscope Project aims to develop a custom Raman microscope for the rapid characterization and on-site detection of production defects in industrially manufactured glass materials. The project involves the development of both hardware and software components to enable precise characterization and analysis of defects.

Key Objectives

  • Develop a custom Raman microscope system capable of on-site defect detection and characterization.
  • Implement real-time data processing algorithms to enable rapid defect identification and analysis.
  • Design a user-friendly desktop application for controlling the microscope and analyzing Raman spectra.
  • Create a comprehensive database for spectral analysis and defect characterization.

Project Details

  • Hardware Development: Custom-built Raman microscope system designed for on-site use in industrial settings. The system includes high-resolution imaging components and specialized spectroscopy hardware.
  • Software Development: Developed a standalone desktop application for controlling the microscope and analyzing Raman spectra. Implemented real-time data processing algorithms for rapid defect identification and analysis.
  • User Interface Design: Designed a user-friendly interface for the desktop application to facilitate easy operation and data visualization.
  • Database Implementation: Created a database for storing and analyzing Raman spectra, enabling spectral matching for defect characterization.

Future Work

  • Explore advanced data processing techniques to enhance defect identification accuracy.
  • Integrate machine learning algorithms for automated defect classification.
  • Collaborate with industry partners to optimize the system for specific manufacturing environments.

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Interface for LST Raman Microscope with camera view, Raman map and spectrum view and signal database searching.

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