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Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle

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Sensor modulation transfer function measurement using band-limited laser speckle.

Xi Chen¹, Nicholas George, Gennadiy Agranov

¹Aptina Imaging, 3080 N. First Street, San Jose, CA 95124, USA. xchen@aptina.com

|November 26, 2008

Summary

This summary is machine-generated.

A novel method measures image sensor modulation transfer function (MTF) using band-limited laser speckle. This technique precisely quantifies sensor performance by analyzing speckle patterns and their power spectral density.

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Area of Science:

Optics and Photonics
Image Sensor Technology
Metrology

Background:

Accurate modulation transfer function (MTF) measurement is crucial for evaluating image sensor performance.
Traditional MTF measurement methods can be complex and time-consuming.
Laser speckle offers a potential alternative for efficient MTF assessment.

Purpose of the Study:

To introduce a new methodology for measuring the modulation transfer function (MTF) of image sensors.
To utilize band-limited laser speckle for precise MTF determination.
To establish a more accessible and efficient approach for sensor characterization.

Main Methods:

Generating band-limited laser speckle using a He-Ne laser, opal milk glass diffuser, and linear polarizer.
Positioning the sensor at a specific Z-location to match speckle cut-off frequency to twice the sensor Nyquist frequency.
Calculating input power spectral density via Rayleigh-Sommerfeld integral and measuring output power spectral density from captured speckle patterns.

Main Results:

Successfully implemented a novel band-limited laser speckle technique for MTF measurement.
Demonstrated the ability to calculate the two-dimensional MTF of image sensors.
Validated the correlation between speckle characteristics and sensor spatial frequency response.

Conclusions:

The presented methodology provides an effective means for image sensor MTF measurement.
Band-limited laser speckle offers a viable and potentially simpler alternative for sensor characterization.
This technique can contribute to improved quality control and performance analysis in image sensor development.