{"title":"Photophysical lock-in detection enables background-free upconversion emission imaging","authors":"Niusha Bagheri, Chenyi Wang, Du Guo, Anbharasi Lakshmanan, Qi Zhu, Xu Chen, Nahid Ghazyani, Qiuqiang Zhan, Georgios A. Sotiriou, Haichun Liu, Jerker Widengren","doi":"10.1038/s41377-026-02414-2","DOIUrl":"https://doi.org/10.1038/s41377-026-02414-2","url":null,"abstract":"Lanthanide-based upconversion nanoparticles (UCNPs) have attracted considerable attention in biomedical applications, due to their anti-Stokes shifted emission enabling autofluorescence-free signal detection. However, residual excitation light can still interfere with their relatively weak emission signals. While commonly used lock-in detection can distinguish weak signals from substantial random background, concurrently modulated residual excitation light is not eliminated. This remains a challenge, particularly under demanding experimental conditions. Here, we propose a photophysical lock-in detection (PP-LID) approach based on the discovery that UCNPs can act as frequency mixers in response to intensity-modulated excitation. Particularly, excitation modulated at multiple base frequencies can generate additional spectral components at the beat frequencies (BFs) between the base modulation frequencies. These signals are resolvable by frame-rate-limited cameras, devoid of ambient and residual excitation light, and can be adapted through nanoparticle engineering. Extracting BF signals by PP-LID thus provides a strategy to significantly enhance signal-to-background conditions in UCNP-based bioimaging and biosensing.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"267 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jian Tang, Jun Yang, Enqi Yan, Guangyao Huang, Ke Yin, Donglai Tian, Xiaoyang Lei, Jiyuan Huang, Mingyue Yang, Haoran Ding, Shuhua Yan, Ke Wei, Lingxiao Zhu, Guochao Wang, Tian Jiang
{"title":"Multimodal locking-enabled robust and day-scale low-repetition-rate soliton microcomb for high-precision metrology","authors":"Jian Tang, Jun Yang, Enqi Yan, Guangyao Huang, Ke Yin, Donglai Tian, Xiaoyang Lei, Jiyuan Huang, Mingyue Yang, Haoran Ding, Shuhua Yan, Ke Wei, Lingxiao Zhu, Guochao Wang, Tian Jiang","doi":"10.1038/s41377-026-02460-w","DOIUrl":"https://doi.org/10.1038/s41377-026-02460-w","url":null,"abstract":"Chip-scale soliton microcombs, particularly those operating at low, electronically detectable repetition rates (≤ 26.5 GHz), are highly promising for portable metrology. However, their practical deployment has been critically hindered by poor robustness against intracavity noise and environmental perturbations. Here, we overcome this limitation by proposing a multimodal locking architecture that actively and simultaneously stabilizes all three fundamental parameters in a soliton microcomb: the pump frequency, the cavity resonance, and the repetition rate. This architecture is confirmed both theoretically and experimentally. Implemented on a Si3N4 microresonator with an FSR of 24.96 GHz, this approach enables robust soliton generation and sustains record-long, collapse-free operation for over 48 h. More importantly, it maintains soliton robustness with exceptional resilience to environmental shocks, under temperature variations exceeding 10°C and vibration accelerations beyond ±4 g. The microcomb’s metrological utility as a precise optical ruler is further validated through optical frequency calibration and frequency-sweeping-based absolute ranging demonstration. This work provides a critical solution for robust and field-deployable low-repetition-rate soliton microcombs, paving the way for their use in portable optical clocks, high-precision ranging, time-frequency transfer and spectroscopic sensing.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A single-chip, dual-gain color–NIR camera for fluorescence-guided lung and breast cancer surgery","authors":"Zhongmin Zhu, Brianna Hajek, Yifei Jin, Sinisha Stojanovski, Anamarija Jankulovska, Darko Angjushev, Igor Djikovski, Nexhati Jakupi, Risto Colanceski, Imran Ferati, Borce Antevski, Ilir Vela, Despot Despotovski, Natasha Tolevska Dimitrovska, Magdalena Bogdanovska Todorovska, Goran Kondov, Borislav Kondov, Shuming Nie, Sunil Singhal, Viktor Gruev","doi":"10.1038/s41377-026-02437-9","DOIUrl":"https://doi.org/10.1038/s41377-026-02437-9","url":null,"abstract":"Near infrared (NIR) fluorescence guided surgery can highlight tumors and sentinel lymph nodes, but most clinical fluorescence imaging systems use multi-camera architectures in which residual color–NIR misregistration can mislocalize fluorescence relative to anatomy, and weak signals often require dimming operating room lights. We developed a single-chip dual-gain scientific CMOS (sCMOS) sensor with red, green, blue (RGB), and NIR channels that provides intrinsically coregistered color reflectance and NIR fluorescence under typical operating room illumination (50–80 kLux). A backside illuminated array with division of focal plane (DoFP) pixelated interference filters achieves an input-referred read noise of 2.25 electrons and a fused dynamic range >90 dB, enabling indocyanine green (ICG) detection at ~100 pM under dark-background conditions and ~500 pM under standard 50–80 kLux operating-room illumination, with quantification over four orders of magnitude. We integrated the sensor into a surgical camera and evaluated it in 20 patients with lung cancer receiving the cathepsin-activated ICG probe VGT-309 and 35 patients with breast cancer undergoing ICG-guided sentinel lymph node biopsy. In lung cancer, lesion level sensitivity was 0.90 (18/20) and positive predictive value was 0.78 (18/23), with at least one clinically significant event in 45% (9/20) of patients. In breast cancer (90 specimens), high-gain NIR imaging improved classification of gamma probe-designated sentinel lymph nodes by node-to-background ratio (ROC AUC 0.94 vs 0.60) while preserving a white light view. These results establish a single-chip route to lights-on color and NIR guidance in the operating room.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huiming Luo, Jie Deng, Jing Zhou, Tianyuan Cui, Yuejie Zhang, Junwei Huang, Liwen Fu, Yonghao Bu, Ruowen Wang, Mengdie Shi, Xiaofei He, Xueling Guo, Jun Ning, Xiaoshuang Chen, Wei Lu
{"title":"High-accuracy hyperspectro-polarimetric real-time imaging via a deep learning empowered infrared meta-sensor","authors":"Huiming Luo, Jie Deng, Jing Zhou, Tianyuan Cui, Yuejie Zhang, Junwei Huang, Liwen Fu, Yonghao Bu, Ruowen Wang, Mengdie Shi, Xiaofei He, Xueling Guo, Jun Ning, Xiaoshuang Chen, Wei Lu","doi":"10.1038/s41377-026-02407-1","DOIUrl":"https://doi.org/10.1038/s41377-026-02407-1","url":null,"abstract":"Light inherently carries multidimensional information, including intensity, polarization, and spectrum. Employing a miniaturized device to simultaneously, instantaneously, and accurately capture the multidimensional information of incident light in a single exposure holds significant applications across numerous fields, but remains challenging. Here, we demonstrate high-accuracy hyperspectro-full-Stokes-polarimetric real-time imaging across a broad wavelength range (1150–1650 nm) with 167 spectral channels, via a metasurface integrated near infrared camera empowered by a residual attention network. The metasurface, which simultaneously performs polarization multiplexing and spectral dispersion, functions as a multidimensional encoder. A tailored deep learning network with a residual attention module is established and trained to reconstruct the multidimensional information of incident light with high accuracy. The key performance metrics—including spectral and image resolution, as well as spectral and polarization reconstruction accuracy—all surpass the best-reported specifications of hyperspectro-polarimetric cameras, with enhancements ranging from several-fold to one order of magnitude. Based on this approach, even intricately coupled multidimensional information can be resolved. In addition, the acquisition, processing, and inference time only takes 18 ms, allowing high-dimensional hyperspectral-polarimetric imaging at 55 frames per second in real time. This work offers a promising solution enabling high-accuracy hyperspectro-polarimetric real-time imaging with a compact camera.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ming Zhou, Mingsen Pan, Chhabindra Gautam, Subhashree Seth, Thomas Rotter, Ganesh Balakrishnan, Weidong Zhou, Shanhui Fan
{"title":"General photonic-crystal slab cavity design for scalable high-power single-mode lasing","authors":"Ming Zhou, Mingsen Pan, Chhabindra Gautam, Subhashree Seth, Thomas Rotter, Ganesh Balakrishnan, Weidong Zhou, Shanhui Fan","doi":"10.1038/s41377-026-02448-6","DOIUrl":"https://doi.org/10.1038/s41377-026-02448-6","url":null,"abstract":"Scaling up the area of photonic-crystal surface-emitting lasers (PCSELs) to produce higher output power while maintaining single-mode operation has been a longstanding objective in photonics and laser physics. Achieving this goal requires two fundamental physics: the difference between the modal losses of the fundamental and higher-order modes, and the mode competition between them. Both physics contribute to the lasing threshold difference between the fundamental and higher-order modes and have been considered individually in past works. But there has not been a theoretical study that treats both physics together for the design of PCSELs. Here we provide a theoretical framework to elucidate the interplay between differential modal losses and mode competition in PCSELs. Based on this framework, we introduce designs based on spatial engineering of photonic-crystal slabs to simultaneously control the modal properties and mode competition. Compared to designs that focus on only one of these physics, our designs can increase the difference between the lasing thresholds of the fundamental and higher-order modes by orders of magnitude. Our findings provide new insights into realizing scalable PCSELs for large-area single-mode lasing.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spectral-selective light detection and ranging at 1550 nm using tandem colloidal quantum dot photodiodes","authors":"Junrui Yang, Jing Liu, Chengjie Deng, Shuaicheng Lu, Hao Ding, Xing Zhou, Long Hu, Xinzheng Lan, Jianbing Zhang, Xing Yang, Yihua Hu, Jiang Tang, Liang Gao","doi":"10.1038/s41377-026-02244-2","DOIUrl":"https://doi.org/10.1038/s41377-026-02244-2","url":null,"abstract":"Light detection and ranging (LiDAR) systems enable three-dimensional (3D) imaging for emerging applications in autonomous driving and mixed reality. The operational wavelength of LiDAR detectors is transitioning from 905 nm to 1550 nm, leveraging the higher safety power threshold and superior coherence of 1550 nm lasers. Colloidal quantum dots (CQDs) photodiodes have shown good performance and low cost for two-dimensional (2D) imaging covering 1550 nm, however, been faced two main challenges, including poor spectral selectivity and slow response speed as a LiDAR detector. Here, we introduce a tandem PbSe CQDs photodiode that functions as an integrated photonic-electronic link, overcoming both challenges by synergistically merging optical pre-processing and electronic post-processing within a single structure. The designed tandem structure leverages a synergistic combination of RC time constant suppression and charge collection narrowing, yielding a record-fast response time of 1.01 ns among the reported CQD devices and a 13-fold suppressed external quantum efficiency (EQE) in the visible range compared to single-junction devices. We further showcase a spectral-selective LiDAR operating at 1550 nm using the tandem CQDs photodiodes, achieving a centimeter-level spatial resolution while maintaining 97.9% of the signal-to-noise ratio under strong background interference.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiang Xiao, Long Chen, Qian Ma, Yu Ming Ning, Zi Xuan Cai, Yi Zhang, Ze Gu, Jian Wei You, Din Ping Tsai, Tie Jun Cui
{"title":"Trivial-nontrivial programmable topological metasurfaces for sensing and communication","authors":"Qiang Xiao, Long Chen, Qian Ma, Yu Ming Ning, Zi Xuan Cai, Yi Zhang, Ze Gu, Jian Wei You, Din Ping Tsai, Tie Jun Cui","doi":"10.1038/s41377-026-02419-x","DOIUrl":"https://doi.org/10.1038/s41377-026-02419-x","url":null,"abstract":"Trivial-nontrivial topological switching provides a distinctive physical pathway for multifunctional electromagnetic systems, yet has never been exploited for integrated sensing and communication (ISAC). Existing ISAC architectures rely almost exclusively on trivial spatial-wave beamforming, constraining near-field sensing robustness and limiting hardware scalability in 6 G scenarios. Here, we propose an intelligent ISAC platform enabled by a programmable topological metasurface (PTM) that dynamically switches between trivial radiation states and non-trivial valley-Hall states, which is achieved through FPGA-controlled symmetry modulation of the PTM’s unit cells. In its non-trivial state, the PTM forms multiple topologically protected domain-wall channels, guiding surface waves with robustness and enabling the extraction of electromagnetic signatures for human localization. A convolutional neural network trained on these signatures achieves a localization accuracy of 99.54%. Upon position recognition, the PTM transitions to its trivial radiation phase, generating spatial phase-gradient beams for directional wireless communication without requiring additional hardware. Experimental results are consistent with theoretical predictions, validating an implementation of topological state switching for dual-mode ISAC functionality. It suggests that topological state programmability could be a potential mechanism for building compact, robust, and intelligent electromagnetic platforms for next-generation wireless systems.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On-chip non-volatile all-optical residual neural network accelerator","authors":"Zhiqiang Quan, Bing Han, Xiaoxiao Ma, Jingyuan Qu, Xiangshui Miao, Qiang He, Jian Wang","doi":"10.1038/s41377-026-02325-2","DOIUrl":"https://doi.org/10.1038/s41377-026-02325-2","url":null,"abstract":"Optical neural networks (ONNs) hold substantial potential in artificial intelligence, promising faster processing speed and reduced energy consumption compared to traditional electronic neural networks, by implementing matrix operations with optical computations. Current ONN architectures predominantly rely on single- or multi-channel convolutions to accelerate computing operations. However, high-performance neural networks, such as ResNet-50, SSD, and Transformer, employ residual convolutions for deep feature extraction instead of single- or multi-channel convolutions. To make ONNs widely functioned in deep neural networks, we propose the Non-Volatile All-Optical Residual Convolution Accelerator (NARCA), based on phase change material (PCM), which weight update energy consumption is only 9.8 μW, much smaller than that of thermal-optical unit with about 10 mW. The NARCA remain high convolution precision, and the experimental results show that the NARCA-based architecture outperforms the conventional optical convolution architecture across different neural-network tasks. Moreover, we demonstrate 128 GHz high-speed optical residual convolution, which greatly improves the residual convolution operation speed compared with the electrical architecture, with a relative root mean square error (RMSE) of less than 0.125.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carson G. Valdez, Anne R. Kroo, Marek Vlk, Charles Roques-Carmes, Shanhui Fan, David A. B. Miller, Olav Solgaard
{"title":"Programmable optical filters based on feed-forward photonic meshes","authors":"Carson G. Valdez, Anne R. Kroo, Marek Vlk, Charles Roques-Carmes, Shanhui Fan, David A. B. Miller, Olav Solgaard","doi":"10.1038/s41377-026-02461-9","DOIUrl":"https://doi.org/10.1038/s41377-026-02461-9","url":null,"abstract":"We demonstrate an integrated photonic circuit based on feed-forward photonic meshes that may be reconfigured to perform a wide range of spectral filter functions in a programmable way. We investigate a subset of the available filter functions, demonstrating that a {rm{N}}=4 input triangular mesh with {rm{M}}=3 layers may be operated via self-configuration algorithms to filter M arbitrary wavelengths from a given input spectrum. The tunable nature of the architecture enables preconfigured filter functions to be swept in the spectral domain continuously over the free spectral range of the device. This removes any strict requirements between the design parameters of the architecture and the center wavelength of a desired filter function. With this architecture, we experimentally demonstrate arbitrary wavelength rejection filters with contrasts as deep as 40 dB. Further, by intentionally selecting the center wavelengths of each filter function to lie along a wavelength grid defined by Delta {rm{lambda }}={{rm{lambda }}}_{{rm{fsr}}}/{rm{N}} we demonstrate deep wavelength division demultiplexing (DWDM) with inter-channel crosstalk between −25 dB and −40 dB. Unlike typical DWDM systems, in this architecture the center wavelength of each channel is not fixed at fabrication and instead may be programmatically defined. This device demonstrates advantages over typical methods for DWDM, Raman spectroscopy, and correlation spectroscopy as well as other applications.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tian Shuo Bai, Xuanru Zhang, Wan Zhu Wang, Jingjing Zhang, Tie Jun Cui
{"title":"Deep-subwavelength exceptional point in microwave plasmonic resonators for enhanced sensing","authors":"Tian Shuo Bai, Xuanru Zhang, Wan Zhu Wang, Jingjing Zhang, Tie Jun Cui","doi":"10.1038/s41377-026-02408-0","DOIUrl":"https://doi.org/10.1038/s41377-026-02408-0","url":null,"abstract":"Exceptional points (EPs) in non-Hermitian electromagnetic (EM) systems have been in the spotlight over the past decades due to their remarkable enhancement effects in sensing sensitivity. Here, we explore EPs at a deep-subwavelength scale, where pronounced coupling modulation is achieved via controllable escaping decay channels. This EP state is realized in a pair of microwave plasmonic resonators each with an electrical size of 1/50 wavelength based on the bonding and antibonding eigenmodes. It can concentrate the EM field into an extremely deep-subwavelength mode volume, accompanied by significant field enhancement, hence enhancing the trace-amount sensing capability. A high signal-to-noise ratio is also maintained, owing to the significantly enhanced sensitivity and only modestly increased noise. Experimental validation of the sensing performance is provided by contactless scatterer detection and nanomole-level glucose measurement. The smallest detectable contactless scatterer size is 1/1600 of the wavelength, and the detection limit for glucose reaches 50 nmol in amount of substance at the operating wavelength of 0.32 m. Our results reveal novel modulation mechanism in the deep-subwavelength EM regime, providing a broadened understanding of non-Hermitian EM systems. The nanomole-level microwave sensing experiments envision a new and promising route for label-free biomedical sensing.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"125 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}