Mr. Yaniv Oiknine Profile

Yaniv Oiknine

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Publications (16)

SPIE Journal Paper | 9 September 2023 Open Access

Compressive hyperspectral microscopy for cancer detection

Yaniv Oiknine, Marwan Abuleil, Eugene Brozgol, Isaac August, Iris Barshack, Ibrahim Abdulhalim, Yuval Garini, Adrian Stern

JBO, Vol. 28, Issue 09, 096502, (September 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.9.096502

KEYWORDS: Microscopes, Microscopy, Light sources and illumination, Cancer detection, Imaging spectroscopy, Imaging systems, Biopsy, Optical filters, Tunable filters, Medical image reconstruction

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SignificanceHyperspectral microscopy grants the ability to characterize unique properties of tissues based on their spectral fingerprint. The ability to label and measure multiple molecular probes simultaneously provides pathologists and oncologists with a powerful tool to enhance accurate diagnostic and prognostic decisions. As the pathological workload grows, having an objective tool that provides companion diagnostics is of immense importance. Therefore, fast whole-slide spectral imaging systems are of immense importance for automated cancer prognostics that meet current and future needs.AimWe aim to develop a fast and accurate hyperspectral microscopy system that can be easily integrated with existing microscopes and provide flexibility for optimizing measurement time versus spectral resolution.ApproachThe method employs compressive sensing (CS) and a spectrally encoded illumination device integrated into the illumination path of a standard microscope. The spectral encoding is obtained using a compact liquid crystal cell that is operated in a fast mode. It provides time-efficient measurements of the spectral information, is modular and versatile, and can also be used for other applications that require rapid acquisition of hyperspectral images.ResultsWe demonstrated the acquisition of breast cancer biopsies hyperspectral data of the whole camera area within ∼1 s. This means that a typical 1 × 1 cm2 biopsy can be measured in ∼10 min. The hyperspectral images with 250 spectral bands are reconstructed from 47 spectrally encoded images in the spectral range of 450 to 700 nm.ConclusionsCS hyperspectral microscopy was successfully demonstrated on a common lab microscope for measuring biopsies stained with the most common stains, such as hematoxylin and eosin. The high spectral resolution demonstrated here in a rather short time indicates the ability to use it further for coping with the highly demanding needs of pathological diagnostics, both for cancer diagnostics and prognostics.

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SPIE Journal Paper | 3 June 2021

Deep neural network classification in the compressively sensed spectral image domain

Nadav Cohen, Shauli Shmilovich, Yaniv Oiknine, Adrian Stern

JEI, Vol. 30, Issue 04, 041406, (June 2021) https://doi.org/10.1117/12.10.1117/1.JEI.30.4.041406

KEYWORDS: Image compression, Image classification, Neural networks, Data acquisition, Resonators, Mirrors, Curium, Compressed sensing, Imaging systems, Databases

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Proceedings Article | 20 August 2020 Presentation

Deep learning for compressive hyperspectral sensing

Adrian Stern, Noam Katz, Nadav Cohen, Shauli Shmilovich, Daniel Gedalin, Yaniv Oiknine

Proceedings Volume 11504, 115040E (2020) https://doi.org/10.1117/12.2568596

KEYWORDS: Hyperspectral sensing, Imaging systems, Compressed sensing, Hyperspectral imaging, Data acquisition, Signal to noise ratio, Image restoration, Target detection

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Proceedings Article | 24 April 2020 Presentation + Paper

Do we miss targets when we capture hyperspectral images with compressive sensing?

Noam Katz, Nadav Cohen, Shauli Shmilovich, Yaniv Oiknine, Adrian Stern

Proceedings Volume 11394, 113940T (2020) https://doi.org/10.1117/12.2562432

KEYWORDS: Data acquisition, Neural networks, Hyperspectral imaging, Compressed sensing, Imaging systems, Image classification, Detection and tracking algorithms, Target detection

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Proceedings Article | 19 September 2019 Paper

On the robustness of compressive sensing hyperspectral image reconstruction using convolutional neural network

Daniel Gedalin, Yaron Heiser, Yaniv Oiknine, Adrian Stern

Proceedings Volume 11169, 111690L (2019) https://doi.org/10.1117/12.2533113

KEYWORDS: Compressed sensing, Hyperspectral imaging, Reconstruction algorithms, Target detection, Convolutional neural networks, Neural networks

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Proceedings Article | 13 May 2019 Presentation + Paper

Compressive hyperspectral image reconstruction with deep neural networks

Yaron Heiser, Yaniv Oiknine, Adrian Stern

Proceedings Volume 10989, 109890M (2019) https://doi.org/10.1117/12.2522122

KEYWORDS: Reconstruction algorithms, Neural networks, Signal processing, Compressed sensing, Image restoration, Image compression, Hyperspectral imaging, Image processing, Imaging systems, Imaging spectroscopy

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Proceedings Article | 16 May 2018 Presentation + Paper

3D reconstructions from spectral light fields

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

Proceedings Volume 10666, 106660W (2018) https://doi.org/10.1117/12.2306139

KEYWORDS: Imaging systems, Integral imaging, Hyperspectral imaging

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SPIE Journal Paper | 5 March 2018

Spectral light fields for improved three-dimensional profilometry

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

OE, Vol. 57, Issue 06, 061609, (March 2018) https://doi.org/10.1117/12.10.1117/1.OE.57.6.061609

KEYWORDS: Cameras, Imaging systems, Integral imaging, Reconstruction algorithms, Two photon polymerization, Optical engineering, Imaging arrays, Hyperspectral imaging, 3D image processing, Light

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Proceedings Article | 4 October 2017 Paper

Target detection with compressive sensing hyperspectral images

Yaniv Oiknine, Daniel Gedalin, Isaac August, Dan Blumberg, Stanley Rotman, Adrian Stern

Proceedings Volume 10427, 104270O (2017) https://doi.org/10.1117/12.2277186

KEYWORDS: Target detection, Detection and tracking algorithms, Compressed sensing, Liquid crystals, Imaging systems, Signal detection, Hyperspectral imaging, Multiplexing, Compressive imaging, Spectral imaging cameras, Hyperspectral target detection

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Proceedings Article | 6 September 2017 Presentation + Paper

Method and algorithm for efficient calibration of compressive hyperspectral imaging system based on a liquid crystal retarder

Liat Shecter, Yaniv Oiknine, Isaac August, Adrian Stern

Proceedings Volume 10410, 104100C (2017) https://doi.org/10.1117/12.2278186

KEYWORDS: Liquid crystals, Calibration, Sensors, Modulators, Hyperspectral imaging, Imaging systems, Wave plates, Compressed sensing, Sensor calibration, Reconstruction algorithms

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Proceedings Article | 16 May 2017 Paper

Compressive spectroscopy by spectral modulation

Yaniv Oiknine, Isaac August, Adrian Stern

Proceedings Volume 10231, 102310K (2017) https://doi.org/10.1117/12.2261403

KEYWORDS: Modulation, Liquid crystals, Spectroscopy, Compressed sensing, Fabry–Perot interferometers, Resonators, Wave plates, Hyperspectral imaging, Image compression, Imaging systems, Mirrors, Light emitting diodes, Green light emitting diodes, Multiplexing, Compressive imaging, Hyperspectral sensing, Optical multiplexing

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SPIE Journal Paper | 9 January 2017

Performance of target detection algorithm in compressive sensing miniature ultraspectral imaging compressed sensing system

Daniel Gedalin, Yaniv Oiknine, Isaac August, Dan Blumberg, Stanley Rotman, Adrian Stern

OE, Vol. 56, Issue 04, 041312, (January 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.4.041312

KEYWORDS: Detection and tracking algorithms, Target detection, Compressed sensing, Multiplexing, Imaging systems, Sensing systems, Reconstruction algorithms, Miniature imaging systems, Liquid crystals, Computing systems

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Proceedings Article | 2 November 2016 Presentation

Stokes polarimetry, narrowband filtering, and hyperspectral imaging using a small number of liquid crystal devices (Conference Presentation)

Marwan Abuleil, Isaac August, Yaniv Oiknine, Adrian Stern, Ibrahim Abdulhalim

Proceedings Volume 9940, 99400S (2016) https://doi.org/10.1117/12.2237295

KEYWORDS: Liquid crystals, Tunable filters, Imaging systems, Polarimetry, Hyperspectral imaging, LCDs, Polarization, Wave plates, Tissue optics, Image filtering

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Proceedings Article | 20 May 2016 Paper

Hurdles in the implementation of compressive sensing for imaging and ways to overcome them

Adrian Stern, Isaac August, Yaniv Oiknine

Proceedings Volume 9870, 987006 (2016) https://doi.org/10.1117/12.2224702

KEYWORDS: Compressive imaging, Compressed sensing, Imaging systems, Holography, Optical imaging, Imaging spectroscopy, Image compression, Radon, Sensors, Liquid crystals

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Proceedings Article | 4 May 2016 Paper

Comparison between various patch wise strategies for reconstruction of ultra-spectral cubes captured with a compressive sensing system

Yaniv Oiknine, Isaac August, Liat Revah, Adrian Stern

Proceedings Volume 9857, 985705 (2016) https://doi.org/10.1117/12.2223647

KEYWORDS: Compressed sensing, Sensing systems, Data processing, Liquid crystals, Sensors, Wavelets, Miniature imaging systems, Imaging systems, Reconstruction algorithms, Wave plates

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Proceedings Article | 23 September 2014 Paper

Reconstruction algorithms for compressive hyperspectral imaging systems with separable spatial and spectral operators

Yaniv Oiknine, Yitzhak August, Adrian Stern

Proceedings Volume 9217, 921703 (2014) https://doi.org/10.1117/12.2064640

KEYWORDS: Reconstruction algorithms, Imaging systems, Hyperspectral imaging, Compressed sensing, Sensing systems, Multiplexing, MATLAB, Computer programming, Optimization (mathematics), Computer simulations

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Showing 5 of 16 publications

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