Fast hyperspectral phase and amplitude imaging in scattering tissue

Ba, Cong; Tsang, Jean-Marc; Mertz, Jérôme

doi:10.1364/ol.43.002058

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…Finally, there has been recent interest in the possibility of spreading phase contrast imaging to a hyperspectral setting. However, current methods take many seconds to capture a hypercube of phase [ 32 ] . The proposed method would be able to collect information with higher spectral resolution in a single shot, allowing for dynamic events to be recorded hyperspectrally.…”

Section: Discussionmentioning

confidence: 99%

Hyperspectral compressive wavefront sensing

Howard

Esslinger²,

Wang³

et al. 2023

High Pow Laser Sci Eng

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Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot. A deep unrolling algorithm is utilised for the snapshot compressive imaging reconstruction due to its parameter efficiency and superior speed relative to other methods, potentially allowing for online reconstruction. The algorithm's regularisation term is represented using neural network with 3D convolutional layers, to exploit the spatio-spectral correlations that exist in laser wavefronts. Compressed sensing is not typically applied to modulated signals, but we demonstrate its success here. Furthermore, we train a neural network to predict the wavefronts from a lateral shearing interferogram in terms of Zernike polynomials, which again increases the speed of our technique without sacrificing fidelity. This method is supported with simulation-based results. While applied to the example of lateral shearing interferometry, the methods presented here are generally applicable to a wide range of signals, including Shack-Hartmann-type sensors. The results may be of interest beyond the context of laser wavefront characterization, including within quantitative phase imaging.

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Section: Discussionmentioning

confidence: 99%

Hyperspectral compressive wavefront sensing

Howard

Esslinger²,

Wang³

et al. 2023

High Pow Laser Sci Eng

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“…It is one of the most promising directions in quantitative phase imaging [6][7][8][9] with numerous applications in optical metrology [10], microscopy [11], digital holography [12], biology and medicine [13]. In particular, the quantitative phase imaging enables label-free and quantitative assessment of cells and tissues, which plays an important role in study of their optical, chemical, and mechanical intrinsic properties [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging

Katkovnik¹,

Shevkunov²,

Егиазарян³

2021

Preprint

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A novel formulation of the hyperspectral broadband phase retrieval is developed for the scenario where both object and modulation phase masks are spectrally varying. The proposed algorithm is based on a complex domain version of the alternating direction method of multipliers (ADMM) and Spectral Proximity Operators (SPO) derived for Gaussian and Poissonian observations. Computations for these operators are reduced to the solution of sets of cubic (for Gaussian) and quadratic (for Poissonian) algebraic equations. These proximity operators resolve two problems. Firstly, the complex domain spectral components of signals are extracted from the total intensity observations calculated as sums of the signal spectral intensities. In this way, the spectral analysis of the total intensities is achieved. Secondly, the noisy observations are filtered, compromising noisy intensity observations and their predicted counterparts. The ability to resolve the hyperspectral broadband phase retrieval problem and to find the spectrum varying object are essentially defined by the spectral properties of object and image formation operators. The simulation tests demonstrate that the phase retrieval in this formulation can be successfully resolved.

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“…Amongst the possible options, the Sagnac interferometer exploits the variable phase delay occurring between two counterpropagating beams that originate from the same radiation field. 21 Other implementations rely on the Michelson interferometer operating either on the illumination side 22 or on the detection side. 23,24 Based on this scheme, Müller et al have implemented a Raman microscope using a proprietary optical device made of two corner cube reflectors operating in step-scan mode to control the Optical Path Difference (OPD) between the two arms.…”

Section: Introductionmentioning

confidence: 99%

A hyperspectral microscope based on an ultrastable common-path interferometer

Candeo

Faria

Erreni³

et al. 2019

APL Photonics

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We introduce a wide field hyperspectral microscope using the Fourier-transform approach. The interferometer is based on the Translating-Wedge-Based Identical Pulses eNcoding System (TWINS) [Opt. Lett. 37, 3027 (2012)], a common-path birefringent interferometer which combines compactness, intrinsic interferometric delay precision, long-term stability and insensitivity to vibrations. We describe three different implementations of our system: two prototypes designed to test different optical schemes and an add-on for a commercial microscope. We show high-quality spectral microscopy of the fluorescence from stained cells and powders of inorganic pigments, demonstrating that the device is suited to biology and materials science. We demonstrate the acquisition of a 1Mpixel hyperspectral image in 75 seconds in the spectral range from 400 to 1100 nm. We also introduce an acquisition method which synthesizes a tunable spectral filter, providing band-passed images by the measurement of only two maps.

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Fast hyperspectral phase and amplitude imaging in scattering tissue

Cited by 8 publications

References 27 publications

Hyperspectral compressive wavefront sensing

Hyperspectral compressive wavefront sensing

ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging

A hyperspectral microscope based on an ultrastable common-path interferometer

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