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Laser & Photonics Reviews · 2024 · IF 9.8

Ultrathin, Wavelength-Multiplexed and Integrated Holograms and Optical Neural Networks Based on 2D Perovskite Nanofilms

Jinming Hu,Shengting Zhu,Ying Lv,Ronghui Guo,Min Gu,Yinan Zhang

Holography, as a technique for coherent wavefront reconstruction, is extensively used in numerous optical applications such as optical imaging, 3D display, photolithography, and optical artificial intelligence. In order to achieve highly compact and functional integration with optoelectronic devices, the hologram needs to possess ultrathin thickness as well as multicolor functionality. However, its thickness is typically limited to optical wavelength ranges due to the requirement for pronounced amplitude or phase modulation, and it generally operates at a single wavelength band without wavelength-multiplexed channels. Here, the hologram is decreased thickness to sub-ten nanometers by exploiting the large refractive index and strong exciton absorption of 2D perovskites. Ultrathin perovskite holograms and holographic neural networks with high stability are successfully developed by using femtosecond laser direct writing, and their operation wavelength can be rationally tuned from 400–515 nm through halide anion engineering. Consequently, the wavelength can be multiplexed with low cross-talks by stacked perovskite nanolayers for applications of holographic display and neural networks without the usages of complex optical structures or filters. This work provides a feasible and promising technical route for integrating ultrathin, high pixel density, and multiplexed holographic structures with flat optoelectronic devices for next-generation integrated optical systems.

研究领域: 光学 · 材料科学 · 人工智能
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Journal of Materials Chemistry C · 2023 ·Vol. 11 ·期 10 ·3504-3512 · IF 6.4

Orthogonal integration of holographic and fluorescent dual images based on energy transfer from liquid crystals to a photocleavable AIEgen

Ming Yao,Ye Zhao,Xingping Zhou,Zhong’an Li,Haiyan Peng,Xiaolin Xie

Orthogonal integration of dual-mode optical images has become a hot topic in recent years due to the greatly increased information density, capacity and security. However, it remains challenging to improve the color diversity of the patterned images due to the stringent requirements of orthogonality during both image patterning and readout. Herein, we demonstrate a facile method to dial a fluorescent color when reconstructing dual images via Förster resonance energy transfer from liquid crystals (LCs) to a photocleavable AIEgen (e.g., TPE-Cou that comprises tetraphenylethylene and coumarin units). The energy transfer efficiency can be readily tuned from 0 to 99% by varying the TPE-Cou/LC weight ratio or controlling the photocleavage kinetics of TPE-Cou, making the fluorescent color readily tuned from blue-violet to yellow. Eventually, crosstalk-free integration of fluorescent and holographic dual-mode images has been successfully realized due to the orthogonality between the photocleavage reaction and holographic photopolymerization. Not only viewing-angle dependent structural color can be achieved owing to Bragg diffraction of the holographic patterns, but also multi-color fluorescent images can be encoded, which is highly promising for high security-level anticounterfeiting.

研究领域: 材料科学 · 光学工程 · 化学
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ACS Applied Materials & Interfaces · 2021 · IF 9.229

Orthogonal Reconstruction of Upconversion and Holographic Images for Anticounterfeiting Based on Energy Transfer

Mingli Ni,Wen Luo,Dan Wang,Yue Zhang,Haiyan Peng,Xingping Zhou,Xiaolin Xie

Crosstalk-free reconstruction of multiple images within a single element can greatly boost the image capacity and information security. We herein demonstrate a viable approach by integrating upconversion and holographic images into a single holographic polymer nanocomposite. The holographic image is reconstructed through photopolymerization-induced phase separation under a 460 nm laser and identifiable under room light, while the upconversion image recognizable under a 980 nm laser is photopatterned via spatially photobleaching of the dye embedded in the upconversion nanoparticle (UCNP) shell under 365 nm light. To this end, the lanthanide-doped UCNP in the core/shell/shell nanostructure of NaYF4:20%Yb3+,0.5%Tm3+@NaYF4@SiO2 is designed, and the dye, fluorescein isothiocyanate (FITC), is fixed in the outermost SiO2 shell via the amine–isothiocyanate reaction and the subsequent sol–gel reaction. Energy transfer from the core of the UCNP to FITC embedded in the shell is critical to boosting the contrast of the upconversion image, which dials the emission color from blue to yellow-green. It is also found that the upconversion image can be brightened by increasing the UCNP content while the holographic image is weakened when the UCNP content is over 15 wt %. This study paves a new way toward advanced anticounterfeiting.

研究领域: 材料科学 · 光学工程
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ADVANCED FUNCTIONAL MATERIALS · 2024 · IF 18.5

Ultra-High Secure Holographically Steganographic Array with Spatiotemporal Dual-Encryption Keys

Zelin Zhu,Xiuping Qi,Zhihao Zhang,Xuanyu Dou,Xinxin Jiang,Yutong Liu,Shencheng Fu,Xintong Zhang,Yichun Liu

Independently-manipulated optical encryption has attracted great attention due to its high security and multiple application scenarios. Although photochromic molecules have become preferred holographic display units, the integration of dynamic modulation both in hologram and fluorescence for orthogonal encryption is still challenged. Herein, a latticed holographically steganographic array is constructed by incorporating a plasticizer (tri-o-cresyl phosphate, TOCP) into spirooxazine (SO) based polymers, thereby modulating the isomerization rate and the UV-fluorescence kinetics between SO and merocyanine (MC). The period to reach fluorescence saturated value for each information bit in the latticed device can be widely modulated between 60 and 1700 s. Based on the property, only through ultraviolet stimulation can array information gradually be converted from spatial lattice coordinates to holographic display time. Then, a hidden 3D image can be determined from rapidly updatable reconstructed hologram video with refresh rate 1.125 Hz by the above spatiotemporal dual-encryption keys. This work provides a bright path for the ultra-high safety steganography and adaptive stereoscopic imaging.

CAS / MDL: 78-30-8
研究领域: 光学 · 材料科学 · 信息安全
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CELL · 2024 · IF 45.5

Spatiotemporal modeling of molecular holograms

Xiaojie Qiu,Daniel Y. Zhu,Yifan Lu,Jiajun Yao,Zehua Jing,Kyung Hoi Min,Mengnan Cheng,Hailin Pan,Lulu Zuo,Samuel King,Qi Fang,Huiwen Zheng,Mingyue Wang,Shuai Wang,Qingquan Zhang,Sichao Yu,Sha Liao,Chao Liu,Xinchao Wu,Yiwei Lai,Shijie Hao,Zhewei Zhang,Liang Wu,Yong Zhang,Mei Li,Zhencheng Tu,Jinpei Lin,Zhuoxuan Yang,Yuxiang Li,Ying Gu,David Ellison,Ao Chen,Longqi Liu,Jonathan S. Weissman,Jiayi Ma,Xun Xu,Shiping Liu,Yinqi Bai

Quantifying spatiotemporal dynamics during embryogenesis is crucial for understanding congenital diseases. We developed Spateo ( https://github.com/aristoteleo/spateo-release ), a 3D spatiotemporal modeling framework, and applied it to a 3D mouse embryogenesis atlas at E9.5 and E11.5, capturing eight million cells. Spateo enables scalable, partial, non-rigid alignment, multi-slice refinement, and mesh correction to create molecular holograms of whole embryos. It introduces digitization methods to uncover multi-level biology from subcellular to whole organ, identifying expression gradients along orthogonal axes of emergent 3D structures, e.g., secondary organizers such as midbrain-hindbrain boundary (MHB). Spateo further jointly models intercellular and intracellular interaction to dissect signaling landscapes in 3D structures, including the zona limitans intrathalamica (ZLI). Lastly, Spateo introduces “morphometric vector fields” of cell migration and integrates spatial differential geometry to unveil molecular programs underlying asymmetrical murine heart organogenesis and others, bridging macroscopic changes with molecular dynamics. Thus, Spateo enables the study of organ ecology at a molecular level in 3D space over time.

CAS / MDL: 79-09-4
研究领域: 生物信息学 · 发育生物学 · 系统生物学
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