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Author

Zengxin Huang

Bio: Zengxin Huang is an academic researcher from Nankai University. The author has contributed to research in topics: Light sheet fluorescence microscopy & Spatial light modulator. The author has an hindex of 1, co-authored 5 publications receiving 5 citations.

Papers
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Journal ArticleDOI
TL;DR: A bidirectional cascaded deep neural network with a pretrained autoencoder for rapid design of dielectric metasurfaces in the range of 450 nm to 850 nm and the mechanism behind the model is revealed in a visualization way.
Abstract: Metasurfaces composed of meta-atoms provide promising platforms for manipulating amplitude, phase, and polarization of light. However, the traditional design methods of metasurfaces are time consuming and laborious. Here, we propose a bidirectional cascaded deep neural network with a pretrained autoencoder for rapid design of dielectric metasurfaces in the range of 450 nm to 850 nm. The forward model realizes a prediction of amplitude and phase responses with a mean absolute error of 0.03. Meanwhile, the backward model can retrieve patterns of meta-atoms in an inverse-design manner. The availability of this model is demonstrated by database establishment, model evaluation, and generalization testing. Furthermore, we try to reveal the mechanism behind the model in a visualization way. The proposed approach is beneficial to reduce the cost of computation burden and improve nanophotonic design efficiency for solving electromagnetic on-demand design issues automatically.

6 citations

Journal ArticleDOI
Zengxin Huang1, Panchun Gu1, Dengfeng Kuang1, Ping Mi1, Xizeng Feng1 
TL;DR: In this article, a multi-planar light sheet fluorescence microscopy system with a dielectric isosceles triangular array was proposed for 3D selected plane imaging and low-phototoxicity in vivo imaging.
Abstract: Light sheet fluorescence microscopy has become a research hotspot in biomedicine because of low phototoxicity, high speed, and high resolution. However, the conventional methods to acquire three-dimensional spatial information are mainly based on scanning, which inevitably increases photodamage and is not real-time. Here, we propose a method to generate controllable multi-planar illumination with a dielectric isosceles triangular array and a design of multi-planar light sheet fluorescence microscopy system. We carry out experiments of three-dimensional illumination beam measurement, volumetric imaging of fluorescent microspheres, and dynamic in vivo imaging of zebrafish heart to evaluate the performance of this system. In addition, we apply this system to study the effects of bisphenol fluorene on the heart shape and heart-beating rate of zebrafish. Our experiment results indicate that the multi-planar light sheet microscopy system provides a novel and feasible method for three-dimensional selected plane imaging and low-phototoxicity in vivo imaging.

4 citations

Journal ArticleDOI
TL;DR: An all-dielectric theta modulation meta-surface with a new encoding method, which separates red, green, blue, and achromatic spatial channels on the focal plane, which may have an important application in compact multispectral photography only with one detector.
Abstract: The traditional theta modulator encodes input information by superimposing Ronchi sub-gratings, which is extremely easy to cause spatial channel overlap that results in bands mixing. In this case, we present an all-dielectric theta modulation meta-surface with a new encoding method, which separates red, green, blue, and achromatic spatial channels on the focal plane. The meta-surface ensures that the positions of focal points are relatively consistent while focusing energy into the sub-wavelength regions. Our study offers a way to facilitate device miniaturization and system integration, which may have an important application in compact multispectral photography only with one detector.

3 citations

Journal ArticleDOI
TL;DR: In this paper, a novel method to generate multi-plane parallel light sheets with a micro structure named isosceles triangular array was proposed, where the thickness of light sheet in each plane can approach 3.12 μm along with the working distance of 152.20 μm directly generated with the triangular array.
Abstract: Light sheet fluorescence microscopy has become a basic tool in biology and medical research with its fast imaging speed, low phototoxicity and high spatiotemporal resolution. Here, we report a novel method to generate multiplane parallel light sheets with a micro structure named isosceles triangular array. The thickness of light sheet in each plane can approach 3.12 μm along with the working distance of 152.20 μm directly generated with the isosceles triangular array. We experimentally recorded the multiplane parallel light sheets illumination, which is consistent with the corresponding simulation by using ray-tracing method. To evaluate the imaging quality, we compared the light field generated with and without projected phase mask onto the spatial light modulator by using polystyrene fluorescent microspheres nanoparticles and transgenic zebrafish. This study provides a potential method for the building of volumetric imaging light sheet fluorescence microscopy with high resolution and low phototoxicity.

3 citations

Journal ArticleDOI
TL;DR: In this article, a dual-helical dielectric cone was proposed to generate the dual-vortex beam, which can be used to manipulate and arrange the nano-microparticles in 3D space.
Abstract: Optical vortex is of great value in optical trapping, manipulating, and arranging. Here, we propose a dual-helical dielectric cone to generate a dual-vortex beam which can be used to manipulate and arrange dielectric microparticles in three-dimensional space. With the finite-difference time-domain simulation, we calculate the electromagnetic field intensity distribution, phase, and Poynting vector during the propagation of the dual-vortex beam, the optical force and optical torque on the microparticles in the range of dual-vortex beam is also considered. In the experiment, we use the phase mask projected on spatial light modulator to generate a dual-vortex beam, which can trap, manipulate, and arrange the fluorescent microparticles to a specific and stable shape, which is consistent with the results of our simulation calculations. The dual-vortex beam generated by the dual-helical dielectric cone provides a feasible method three-dimensional optical manipulation, which is significant in biophotonical researches.

3 citations


Cited by
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Journal ArticleDOI
TL;DR: The reflection characteristics of a thin and dual-band metasurface are examined in the microwave frequency regime and it has been estimated that the surface has the additional ability to convert linearly polarized waves to circularly polarized waves at several distinct frequencies.
Abstract: The manipulation of polarization state of electromagnetic waves is of great importance in many practical applications. In this paper, the reflection characteristics of a thin and dual-band metasurface are examined in the microwave frequency regime. The metasurface consists of a 22 × 22 element array of periodic unit cells. The geometry of the unit cell consists of three layers, including a 45° inclined dipole shape metal patch on top, which is backed by a 1.6 mm thick FR-4 substrate in the middle, and a fully reflective metallic mirror at the bottom. The proposed surface is exposed to horizontally (x) or vertically (y) polarized plane waves and the co and cross polarization reflection coefficients of the reflected waves are investigated experimentally in the 6-26 GHz frequency range. The metasurface is designed to convert incident waves of known polarization state (horizontal or vertical) to orthogonal polarization state (vertical and horizontal) in two distinct frequency bands, i.e. 7.1-8 GHz and 13.3-25.8 GHz. In these two frequency bands the simulated and experimental results are in good agreement. The polarization conversion ratio (PCR) of the surface is greater than 95% in the targeted frequency bands. A detailed parametric analysis of the metasurface is also discussed in this work and it has been estimated that the surface has the additional ability to convert linearly polarized waves to circularly polarized waves at several distinct frequencies. The proposed metasurface can be utilized in sensor applications, stealth technology, electromagnetic measurements, and antennas design.

25 citations

Journal ArticleDOI
TL;DR: The presented RFODL-MGEC model aims to improve classification performance by selecting appropriate features and uses a novel red fox optimizer (RFO)-based feature selection approach for deriving an optimal subset of features.
Abstract: Microarray data examination is a relatively new technology that intends to determine the proper treatment for various diseases and a precise medical diagnosis by analyzing a massive number of genes in various experimental conditions. The conventional data classification techniques suffer from overfitting and the high dimensionality of gene expression data. Therefore, the feature (gene) selection approach plays a vital role in handling a high dimensionality of data. Data science concepts can be widely employed in several data classification problems, and they identify different class labels. In this aspect, we developed a novel red fox optimizer with deep-learning-enabled microarray gene expression classification (RFODL-MGEC) model. The presented RFODL-MGEC model aims to improve classification performance by selecting appropriate features. The RFODL-MGEC model uses a novel red fox optimizer (RFO)-based feature selection approach for deriving an optimal subset of features. Moreover, the RFODL-MGEC model involves a bidirectional cascaded deep neural network (BCDNN) for data classification. The parameters involved in the BCDNN technique were tuned using the chaos game optimization (CGO) algorithm. Comprehensive experiments on benchmark datasets indicated that the RFODL-MGEC model accomplished superior results for subtype classifications. Therefore, the RFODL-MGEC model was found to be effective for the identification of various classes for high-dimensional and small-scale microarray data.

10 citations

Journal ArticleDOI
TL;DR: In this paper , a deep learning-based approach was used to estimate the angular error of the illumination beam relative to the detection focal plane, which significantly improved the image quality across the entire field-of-view.
Abstract: Light-sheet fluorescence microscopy (LSFM) is a high-speed imaging technique that provides optical sectioning with reduced photodamage. LSFM is routinely used in life sciences for live cell imaging and for capturing large volumes of cleared tissues. LSFM has a unique configuration, in which the illumination and detection paths are separated and perpendicular to each other. As such, the image quality, especially at high resolution, largely depends on the degree of overlap between the detection focal plane and the illuminating beam. However, spatial heterogeneity within the sample, curved specimen boundaries, and mismatch of refractive index between tissues and immersion media can refract the well-aligned illumination beam. This refraction can cause extensive blur and non-uniform image quality over the imaged field-of-view. To address these issues, we tested a deep learning-based approach to estimate the angular error of the illumination beam relative to the detection focal plane. The illumination beam was then corrected using a pair of galvo scanners, and the correction significantly improved the image quality across the entire field-of-view. The angular estimation was based on calculating the defocus level on a pixel level within the image using two defocused images. Overall, our study provides a framework that can correct the angle of the light-sheet and improve the overall image quality in high-resolution LSFM 3D image acquisition.

8 citations

Patent
31 Oct 2012
TL;DR: In this article, systems and methods for multispectral imaging are disclosed, which can include a near infrared (NIR) imaging sensor and a visible imaging sensor, and they can be implemented to improve alignment between the NIR and visible images.
Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to improve alignment between the NIR and visible images. Once the NIR and visible images are aligned, various types of multispectral processing techniques can be performed on the aligned images.

4 citations

Journal ArticleDOI
Zengxin Huang1, Panchun Gu1, Dengfeng Kuang1, Ping Mi1, Xizeng Feng1 
TL;DR: In this article, a multi-planar light sheet fluorescence microscopy system with a dielectric isosceles triangular array was proposed for 3D selected plane imaging and low-phototoxicity in vivo imaging.
Abstract: Light sheet fluorescence microscopy has become a research hotspot in biomedicine because of low phototoxicity, high speed, and high resolution. However, the conventional methods to acquire three-dimensional spatial information are mainly based on scanning, which inevitably increases photodamage and is not real-time. Here, we propose a method to generate controllable multi-planar illumination with a dielectric isosceles triangular array and a design of multi-planar light sheet fluorescence microscopy system. We carry out experiments of three-dimensional illumination beam measurement, volumetric imaging of fluorescent microspheres, and dynamic in vivo imaging of zebrafish heart to evaluate the performance of this system. In addition, we apply this system to study the effects of bisphenol fluorene on the heart shape and heart-beating rate of zebrafish. Our experiment results indicate that the multi-planar light sheet microscopy system provides a novel and feasible method for three-dimensional selected plane imaging and low-phototoxicity in vivo imaging.

4 citations