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Related Experiment Video

Updated: May 17, 2026

In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays

In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays

Published on: September 20, 2021

Fisher information matrix for branching processes with application to electron-multiplying charge-coupled devices.

Jerry Chao¹, E Sally Ward, Raimund J Ober

¹Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.

Multidimensional Systems and Signal Processing

|October 11, 2012

Summary

Electron-multiplying charge-coupled devices (EMCCDs) improve low-light imaging by amplifying signals to overcome readout noise. This study develops theory to calculate Fisher information for EMCCD signals, aiding in precise measurements.

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Area of Science:

Physics
Optical Engineering
Signal Processing

Background:

Charge-coupled devices (CCDs) are limited in low-light conditions due to readout noise overwhelming weak signals.
Electron-multiplying charge-coupled devices (EMCCDs) amplify signals to mitigate readout noise, enhancing low-light performance.

Purpose of the Study:

To develop a theoretical framework for calculating Fisher information content in EMCCD-amplified signals.
To provide tools for analyzing and comparing different EMCCD data models and amplification scenarios.

Main Methods:

Modeling the amplified EMCCD signal as a branching process.
Deriving Fisher information expressions for general, geometric, and approximated amplification models.
Introducing a 'noise coefficient' for scalar analysis and comparison.

Main Results:

Obtained Fisher information expressions for various EMCCD amplification models under Poisson signal conditions.
Demonstrated the utility of the 'noise coefficient' for comparing different data models.
Applied the theory to a point source localization problem using EMCCD imaging.

Conclusions:

The developed theory provides a robust method for quantifying information in EMCCD signals.
The 'noise coefficient' offers a simplified approach to evaluating EMCCD performance.
This work facilitates improved estimation accuracy in low-light imaging applications.