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| 1 | Light-driven single-cell rotational adhesion frequency assay显示文摘The interaction between cell surface receptors and extracellular ligands is highly related to many physiological processes in living systems.Many techniques have been developed to measure the ligand-receptor binding kinetics at the single-cell level.However,few techniques can measure the physiologically relevant shear binding affinity over a single cell in the clinical environment.Here,we develop a new optical technique,termed single-cell rotational adhesion frequency assay(scRAFA),that mimics in vivo cell adhesion to achieve label-free determination of both homogeneous and heterogeneous binding kinetics of targeted cells at the subcellular level.Moreover,the scRAFA is also applicable to analyze the binding affinities on a single cell in native human biofluids.With its superior performance and general applicability,scRAFA is expected to find applications in study of the spatial organization of cell surface receptors and diagnosis of infectious diseases. | Yaoran Liu Hongru Ding Jingang Li Xin Lou Mingcheng Yang Yuebing Zheng | 2022 | eLight2022，2，1： | 2 |
| 2 | Opto-thermoelectric pulling of light-absorbing particles显示文摘Optomechanics arises from the photon momentum and its exchange with low-dimensional objects.It is well known that optical radiation exerts pressure on objects,pushing them along the light path.However,optical pulling of an object against the light path is still a counter-intuitive phenomenon.Herein,we present a general concept of optical pulling-opto-thermoelectric pulling(OTEP)—where the optical heating of a light-absorbing particle using a simple plane wave can pull the particle itself against the light path.This irradiation orientation-directed pulling force imparts self-restoring behaviour to the particles,and three-dimensional(3D)trapping of single particles is achieved at an extremely low optical intensity of 10^(−2)mWμm^(−2).Moreover,the OTEP force can overcome the short trapping range of conventional optical tweezers and optically drive the particle flow up to a macroscopic distance.The concept of selfinduced opto-thermomechanical coupling is paving the way towards freeform optofluidic technology and lab-on-achip devices. | Linhan Lin Pavana Siddhartha Kollipara Abhay Kotnala Taizhi Jiang Yaoran Liu Xiaolei Peng Brian A.Korgel Yuebing Zheng | 2020 | Light(Science & Applications)2020，9，1： | 1 |
| 3 | Alterable-capacity fragile watermarking scheme with restoration capability显示文摘 | Yaoran Huo Hongjie He Fan Chen | 2011 | Optics Communications2011，，7： | 1 |
| 4 | Mandibular Buccal Bifurcation Cyst:Report of Two Cases显示文摘Mandibular buccal bifurcation cyst is a rare inflammatory odontogenic cyst.We reported two cases who complained of painful swelling of extraoral soft tissue.Intraoral examination revealed the partially erupted mandibular first molar.Cone beam computed tomography showed a well-defined cystic lesion surrounding the first molar.Histopathologic images showed the cyst wall was infiltrated by a large number of plasma cells,neutrophils and eosinophils,and lined with a thin layer of non-keratinized stratified squamous epithelium.Finally,the two patients were diagnosed as mandibular buccal bifurcation cyst and treated with cyst enucleation and curettage. | Yaoran Liu Jirong Chen Lei Wang Kexiong Ouyang Luo Huang | 2022 | Chinese Medical Sciences Journal2022，37，2： | 0 |
| 5 | Significant wave height prediction through artificial intelligent mode decomposition for wave energy management显示文摘The prediction of significant wave height(SWH)is crucial for managing wave energy.While many machine learning studies have focused on accurately predicting SWH values within hours in advance,the primary concern should be given to the level of the wave height for real-world applications.In this paper,a classification framework for the time-series of SWH based on Transformer encoder(TF)and empirical mode decomposition(EMD)is developed,which can provide a lead time of 6 to 48 h with the fixed thresholds of 2 m for high level waves and 1.5 m for low level waves.The performance of this approach is compared to that of three mainstream algorithms with and without EMD features.Results from the datasets collected from buoy measurements in the Atlantic Ocean indicate that the optimal mean accuracy at a lead time of 6 h was 99.1%and the average training time was 75 s,demonstrating the accuracy and efficiency of this proposed model.This study provides valuable tools and references for real-world SWH prediction applications. | Yaoran Chen Dan Zhang Xiaowei Li Yan Peng Chuhan Wu Huayan Pu Dai Zhou Yong Cao Jiujun Zhang | 2023 | Energy and AI2023，14，4： | 0 |
| 6 | Opto-thermoelectric microswimmers显示文摘Inspired by the“run-and-tumble”behaviours of Escherichia coli(E.coli)cells,we develop opto-thermoelectric microswimmers.The microswimmers are based on dielectric-Au Janus particles driven by a self-sustained electrical field that arises from the asymmetric optothermal response of the particles.Upon illumination by a defocused laser beam,the Janus particles exhibit an optically generated temperature gradient along the particle surfaces,leading to an opto-thermoelectrical field that propels the particles.We further discover that the swimming direction is determined by the particle orientation.To enable navigation of the swimmers,we propose a new optomechanical approach to drive the in-plane rotation of Janus particles under a temperature-gradient-induced electrical field using a focused laser beam.Timing the rotation laser beam allows us to position the particles at any desired orientation and thus to actively control the swimming direction with high efficiency.By incorporating dark-field optical imaging and a feedback control algorithm,we achieve automated propelling and navigation of the microswimmers.Our optothermoelectric microswimmers could find applications in the study of opto-thermoelectrical coupling in dynamic colloidal systems,active matter,biomedical sensing,and targeted drug delivery. | Xiaolei Peng Zhihan Chen Pavana Siddhartha Kollipara Yaoran Liu Jie Fang Linhan Lin Yuebing Zheng | 2020 | Light(Science & Applications)2020，9，1： | 0 |
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