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October 18, 2024

Image-guided computational holographic wavefront shaping: Fast, versatile solutions for complex imaging challenges

Microscopic image of cells in a conventional optical microscope (left) and the processed image with the new technique (right). Credit: Omri Haim and Jeremy Boger-Lombard
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Microscopic image of cells in a conventional optical microscope (left) and the processed image with the new technique (right). Credit: Omri Haim and Jeremy Boger-Lombard

A study by researchers from the Institute of Applied Âé¶¹ÒùÔºics at the Hebrew University of Jerusalem, published in Nature Photonics, presents a new method for non-invasive high-resolution imaging through highly scattering media.

The team, led by Prof. Ori Katz, Omri Haim and Jeremy Boger-Lombard, introduces a holography-based that addresses key challenges in the field of optical imaging and opens new doors for applications in diverse areas such as , autonomous vehicles, and microscopy.

The study introduces a guide-star-free approach that eliminates the need for traditional tools such as high-resolution spatial light modulators (SLMs) or extensive measurements, making it possible to image through complex scattering media with unprecedented speed and precision. By computationally emulating wavefront shaping experiments, this new technique optimizes multiple "virtual SLMs" simultaneously, allowing the system to reconstruct high-quality images without requiring prior information about the target or scattering patterns.

Key achievements include:

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"We are excited to introduce a new approach in imaging technology that allows for high-resolution imaging through highly scattering media with orders of magnitude less measurements than the state of the art, without the need for prior knowledge of the target or expensive equipment," says Prof. Katz. "This innovation shifts the challenge from physical hardware to computational optimization, offering a naturally parallelizable solution that can be applied across many fields."

The research has the potential to transform key areas of scientific study and practical applications, offering a fast, non-invasive, and highly adaptable solution for imaging in complex environments. The team is already exploring future directions, including optimizing the method for continuous volumetric samples such as thick biological tissues and further reducing the number of required holograms.

More information: Image-guided Computational Holographic Wavefront Shaping, Nature Photonics (2024).

Journal information: Nature Photonics

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