New Version of Pattern Generator Software

Spatial Light Modulator Pattern Generator SoftwareThe release of version 5 of the Pattern Generator software is really a big step forward, as we integrated core components of the Display SDK into Pattern Generator, along with almost all Display SDK features which are available now. We also reworked a lot of the user interface to make these new functions more accessible and give the user a better overview of the optical functions applied to the data. (more…)

Major update for PLUTO-2 Phase Only Spatial Light Modulators

PLUTO-2.1 Spatial Light ModulatorWe recently released a major update for the PLUTO-2 SLM series. The PLUTO-2.1 features a faster pulse addressing frequeny which provides a higher dynamic range for addressing voltages. With an adjusted drive sequence and configurations the phase stability was further improved and with that, the diffraction efficiencies could also be enhanced.

The higher bandwith also increases flexibility in terms of configurations. The SLM devices come with (more…)

New standard glass DOEs available

HOLOEYE introduces 5 new of off-the-shelf standard glass diffractive optical elements. These stock elements are made of Fused Silica glass by etching, or are replicated using Acrylate polymers on Soda Lime glass substrates. Both versions feature an anti-reflective (AR) coating on the plain side of the glass substrate. (more…)

New versions of SLM SDK for MatLab, LabVIEW, Octave and ANSI C (Windows)

SLM SDK IconUpdated versions of the HOLOEYE Spatial Light Modulator Display SDK for MatLab, LabVIEW, Octave and ANSI C (Windows versions) are now available. Updates are available trough our download website at https://customers.holoeye.com.

The main new features are transform functionalities for scaling and shifting of the image, reposition and changing focus and functions to add Zernike polynomials. (more…)

Direct comparison of anti-diffracting optical pin beams and abruptly autofocusing beams

Author(s):

Denghui Li, Domenico Bongiovanni, Michael Goutsoulas, Shiqi Xia, Ze Zhang, Yi Hu, Daohong Song, Roberto Morandotti, Nikolaos K. Efremidis, and Zhigang Chen

Abstract:

“We propose and demonstrate a generalized class of anti-diffracting optical pin-like beams (OPBs). Such beams exhibit autofocusing dynamics while morphing into a Bessel-like shape during long-distance propagation, where the size of their main lobe can be tuned by an exponent’s parameter. In particular, their amplitude envelope can be engineered to preserve the pin-like peak intensity pattern. In both theory and experiment, the OPBs are directly compared with radially symmetric abruptly autofocusing beams (AABs) under the same conditions. Furthermore, enhanced transmission and robustness of the OPBs are observed while traversing a scattering colloidal suspension, as compared to both AABs and conventional Bessel beams.”

Link to Publications Page

Publication: OSA Continuum
Issue/Year/DOI: Vol. 3, Issue 6, pp. 1525-1535 (2020)
DOI: 10.1364/OSAC.391878

Hologram generation via Hilbert transform

Author(s):

Tomoyoshi Shimobaba, Takashi Kakue, Yota Yamamoto, Ikuo Hoshi, Harutaka Shiomi, Takashi Nishitsuji, Naoki Takada, and Tomoyoshi Ito

Abstract:

“We propose an indirect method for generating a complex hologram and phase-only hologram from an amplitude hologram using the Hilbert transform. The Hilbert transform generates an imaginary part of complex amplitude from only an amplitude hologram, resulting in the reduction of the total computational complexity of complex and phase-only holograms. More importantly, the proposed method can reduce the hardware resources of dedicated hologram processors.”

Link to Publications Page

Publication: OSA Continuum
Issue/Year/DOI: Vol. 3, Issue 6, pp. 1498-1503 (2020)
DOI: 10.1364/OSAC.395003

Deep neural networks in single-shot ptychography

Author(s):

Omri Wengrowicz, Or Peleg, Tom Zahavy, Barry Loevsky, and Oren Cohen

Abstract:

“We develop and explore a deep learning based single-shot ptychography reconstruction method. We show that a deep neural network, trained using only experimental data and without any model of the system, leads to reconstructions of natural real-valued images with higher spatial resolution and better resistance to systematic noise than common iterative algorithms.”

Link to Publications Page

Publication: Optics Express
Issue/Year/DOI: Vol. 28, Issue 12, pp. 17511-17520
DOI: 10.1364/OE.393961

WISHED: Wavefront imaging sensor with high resolution and depth ranging

Author(s):

Yicheng Wu, Fengqiang Li, Florian Willomitzer, Ashok Veeraraghavan, Oliver Cossairt

Abstract:

“Phase-retrieval based wavefront sensors have been shown to reconstruct the complex field from an object with a high spatial resolution. Although the reconstructed complex field encodes the depth information of the object, it is impractical to be used as a depth sensor for macroscopic objects, since the unambiguous depth imaging range is limited by the optical wavelength. To improve the depth range of imaging and handle depth discontinuities, we propose a novel three-dimensional sensor by leveraging wavelength diversity and wavefront sensing. Complex fields at two optical wavelengths are recorded, and a synthetic wavelength can be generated by correlating those wavefronts. The proposed system achieves high lateral and depth resolutions. Our experimental prototype shows an unambiguous range of more than 1,000 x larger compared with the optical wavelengths, while the depth precision is up to 9µm for smooth objects and up to 69µm for rough objects. We experimentally demonstrate 3D reconstructions for transparent, translucent, and opaque objects with smooth and rough surfaces.”

Link to Publications Page

Publication: 2020 IEEE International Conference on Computational Photography (ICCP)
DOI: 10.1109/ICCP48838.2020.9105280

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