Advanced Imaging Lab (@Adv_Imaging_Lab) header
Advanced Imaging Lab (@Adv_Imaging_Lab) profile picture

We are the Advanced Imaging group at @HUJI_APH in the @HebrewU. Looking deeper into opaque samples (and around corners) with light & sound. PI - Prof. Ori Katz.

Hebrew University of Jerusalem
Joined March 2023
Excited to share our latest paper: 'Image-guided computational holographic wavefront shaping' is finally out! Read more: @NaturePhotonics: nature.com/articles/s41566-0… @physorg_com: phys.org/news/2024-10-image-… See how the optimization reveals onion cells through a scattering layer!
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Important reminder: We are always looking for talented PhD and Postdoc students with excellent backgrounds in physics, electrical engineering, or computer science. Interested? Please contact Prof. Ori Katz at: [email protected]
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Leveraging this analogy, we show Ptychographic imaging of reflective targets using a commercial MCF and simple intensity-only camera-based detection. Interested? Check out the full paper here: opg.optica.org/oe/fulltext.c… 3/3
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However, coherent imaging with these fibers requires correcting core-to-core phase distortions. We show that conventional raster scanning in confocal endoscopy with multicore fibers (MCFs) is analogous to probe scanning in ptychography. 2/3
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Interested? Check out the full paper on arXiv: arxiv.org/abs/2405.10118
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We repeat this and scan the ultrasound focus over several areas of the object, resulting in a field of view much larger than the 'memory effect'
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Our paper presents a method that combines minimally scattering acoustic waves and high-resolution optical waves. By targeting 'memory-effect' regions with acoustic focus, we demonstrate matrix-based scattering compensation that relies on detecting the tagged optical fields.
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Imaging through scattering media at optical resolution is crucial for applications like deep tissue imaging in biomedicine. Current techniques highly depend on the optical 'memory effect', which significantly limits their field of view.
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🔬Exciting news from our lab! We've developed a new computational framework for photoacoustic tomography, enabling clear imaging through thick and highly aberrating layers. Dive into the details of our novel wave-based approach in our latest paper: sciencedirect.com/science/ar… 🌊📸
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(3/5) In our latest paper, we show how one can interpret those measurements (taken with a widefield microscope) as a 'reflection matrix' and, more interestingly, how to correct this scattering for a clear image of the beads.
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