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A Spectroscopic Reflectance-Based Low-Cost Thickness Measurement System for Thin Films: Development and Testing
Néstor Eduardo Sánchez-Arriaga1, Divya Tiwari1, Windo Hutabarat1
1Amy Johnson Building, Department of Automatic Control and Systems Engineering, University of Sheffield, Portobello St., Sheffield S1 3JD, UK.
Sensors (Basel, Switzerland)
|June 10, 2023
Summary
A novel, low-cost spectroscopic reflectance system was developed for thin film thickness measurements. This system offers improved accuracy and potential for multi-sensor arrays in roll-to-roll processing.
Area of Science:
- Materials Science
- Optical Engineering
- Spectroscopy
Background:
- Roll-to-roll (R2R) processing requires cost-effective, scalable thin film inspection methods.
- Existing methods for thin film analysis often face limitations in cost, dimension, and feedback control.
- There is a growing need for advanced sensors to enhance R2R process control and quality assurance.
Purpose of the Study:
- To develop and validate a novel, low-cost spectroscopic reflectance system for accurate thin film thickness measurements.
- To explore the integration of reduced-size spectrometer sensors for enhanced R2R processing.
- To enable new control feedback options for thin film deposition and inspection.
Main Methods:
- Hardware and software development of a spectroscopic reflectance system utilizing two advanced, low-cost sensors.
- Optimization of parameters including LED light intensity, microprocessor integration time, and sensor-to-sample distance.
- Application of curve fitting and interference interval methods for reflectance calculations and error analysis.
Main Results:
- The proposed system achieved lower root mean squared error (RMSE) of 0.022 and normalized mean squared error (MSE) of 0.054 using the curve fitting method.
- The interference interval method demonstrated a comparative error of 0.09 against expected modeled values.
- The system proved effective in thin film thickness measurements, outperforming a HAL/DEUT light source in specific error metrics.
Conclusions:
- The developed spectroscopic system provides a viable, low-cost solution for thin film thickness measurement in R2R manufacturing.
- This technology enables the expansion of multi-sensor arrays for comprehensive thin film analysis.
- Potential applications include in-line monitoring and quality control in dynamic or moving environments.

