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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Spatial correlation-based quadratic cost function for wavefront shaping through scattering media.

Amit Kumar1, Ayush Sharma1, S K Biswas1

  • 1Indian Institute of Science Education and Research Mohali, Department of Physical Sciences, Bio-NanoPhotonics Lab, Manauli, Punjab, India.

Journal of Biomedical Optics
|November 21, 2024
PubMed
Summary
This summary is machine-generated.

A new quadratic cost function (QCF) precisely controls light intensity and uniformity when focusing through scattering media. This advanced method surpasses traditional intensity and peak-to-background ratio functions for improved optical control.

Keywords:
cost functionquadratic cost functionspatial light modulatorwavefront shapingℓ2 quadratic norm

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Area of Science:

  • Optics and Photonics
  • Biomedical Imaging
  • Materials Science

Background:

  • Feedback-based wavefront shaping is vital for deep tissue microscopy and bio-incubation.
  • Current cost functions like intensity and peak-to-background ratio (PBR) lack precise control over focus spot uniformity and intensity.
  • Accurate light focusing through scattering media is challenging but crucial for various applications.

Purpose of the Study:

  • To introduce a novel L2-norm-based quadratic cost function (QCF) for wavefront optimization.
  • To enhance the focusing of light through scattering media by establishing pixel-to-pixel intensity and position correlations.
  • To improve contrast optimization and background suppression in optical focusing.

Main Methods:

  • The proposed QCF was integrated with a genetic algorithm for optimization.
  • Pixel-to-pixel correlations were established to achieve controlled contrast and uniformity.
  • Simulations and experimental validations were performed to compare QCF with existing methods.

Main Results:

  • The QCF demonstrated superior performance in precise intensity control and focus uniformity.
  • The proposed method effectively suppressed background intensity compared to traditional functions.
  • Simulations and experiments confirmed the QCF's advantage over intensity and PBR cost functions.

Conclusions:

  • The QCF offers precise intensity control, enhanced uniformity, and effective background suppression.
  • This method is ideal for applications demanding critical intensity control, such as photolithography and dosimetry.
  • The QCF holds significant potential for energy modulation in bio-incubation and beyond.