A digital holography technique for generating beams with arbitrary polarization and shape

Maluenda, David; Juvells, Ignasi; Martı́nez-Herrero, R.; Carnicer, Artur

doi:10.1117/12.979926

Cited by 3 publications

(1 citation statement)

References 10 publications

(11 reference statements)

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“…SLMs are able to relate electronic data to spatially modulated coherent light. In particular, twisted nematic liquid crystal spatial light modulators (TNLC-SLMs) are kind of relatively low-cost electro-optics devices widely used in many branches of optical information processing, such as digital holography [1,2], spatially-variant polarized beams [3], coherent diffraction imaging [4], generating vector beams [5][6][7], pattern recognition and optical correlators [8], Fresnel lenses [9,10], and optical cryptosystem [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Beam Implementation with a Translucent Twisted-Nematic Liquid Crystal Display

Ahmadi¹

2023

Holography - Recent Advances and Applications

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This chapter describes an efficient approach to generating light beams with arbitrary intensity profile and phase distribution. Accordingly, a fast method is described to characterize liquid crystal displays based on the Mach-Zehnder interferometer and fringe analysis in the Fourier domain. Then, the double-pixel hologram Arrizón’s approach is reviewed. This approach is able to generate an on-axis computer-generated hologram into a low-resolution twisted-nematic liquid crystal for encoding arbitrary complex modulations. Furthermore, a fast algorithm to map holographic cells based on the k-nearest neighbor (k-NN) classifier is introduced in order to generate computer-generated holograms faster than the conventional calculation. Finally, two beam profiles are produced with the described approach and assessed at the entrance pupil and the depth of focus of a high-NA microscope objective.

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Section: Introductionmentioning

confidence: 99%

Beam Implementation with a Translucent Twisted-Nematic Liquid Crystal Display

Ahmadi¹

2023

Holography - Recent Advances and Applications

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Compact and field-portable 3D printed shearing digital holographic microscope for automated cell identification

et al. 2017

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We propose a low-cost, compact, and field-portable 3D printed holographic microscope for automated cell identification based on a common path shearing interferometer setup. Once a hologram is captured from the portable setup, a 3D reconstructed height profile of the cell is created. We extract several morphological cell features from the reconstructed 3D height profiles, including mean physical cell thickness, coefficient of variation, optical volume (OV) of the cell, projected area of the cell (PA), ratio of PA to OV, cell thickness kurtosis, cell thickness skewness, and the dry mass of the cell for identification using the random forest (RF) classifier. The 3D printed prototype can serve as a low-cost alternative for the developing world, where access to laboratory facilities for disease diagnosis are limited. Additionally, a cell phone sensor is used to capture the digital holograms. This enables the user to send the acquired holograms over the internet to a computational device located remotely for cellular identification and classification (analysis). The 3D printed system presented in this paper can be used as a low-cost, stable, and field-portable digital holographic microscope as well as an automated cell identification system. To the best of our knowledge, this is the first research paper presenting automatic cell identification using a low-cost 3D printed digital holographic microscopy setup based on common path shearing interferometry.

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Cell identification using single beam lensless imaging with pseudo-random phase encoding

Javidi¹,

Rawat²,

Komatsu³

et al. 2016

Opt. Lett.

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In this Letter, we propose a novel compact optical system for automated cell identification. Our system employs pseudo-random encoding of the light modulated by the cells under inspection to capture the unique opto-biological signature of the micro-organisms by an image sensor and without using a microscope objective lens to magnify the object beam. The proposed instrument can be fabricated using a compact light source, a thin diffuser, and an image sensor connected to computational hardware; thus, it can be compact and cost effective. Experiments are presented using the proposed system to identify and classify various micro-objects and demonstrate proof of concept. The captured opto-biological signature pattern can be attributed to the micro-object's morphology, size, sub-cellular complex structure, index of refraction, internal material composition, etc. Using the captured signature of the micro-object, we extract statistical features such as mean, variance, skewness, kurtosis, entropy, and correlation coefficients for cell identification using the random forest classifier. For comparison, similar identification experiments were repeated with a digital shearing interferometer. To the best of our knowledge, this is the first report on automated cell identification using the proposed approach.

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A digital holography technique for generating beams with arbitrary polarization and shape

Cited by 3 publications

References 10 publications

Beam Implementation with a Translucent Twisted-Nematic Liquid Crystal Display

Beam Implementation with a Translucent Twisted-Nematic Liquid Crystal Display

Compact and field-portable 3D printed shearing digital holographic microscope for automated cell identification

Cell identification using single beam lensless imaging with pseudo-random phase encoding

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