Understanding cardiac microstructure and vascular networks in their entirety is critical for assessing cardiovascular development, disease progression, and therapeutic interventions. Light-sheet microscopy combined with tissue clearing enables high-resolution volumetric imaging of intact organs but faces limitations in trabeculated myocardium due to trade-offs among light-sheet thickness, effective range, and frame rate. We exploit temporal dynamics that govern illumination-detection interplay to maintain uniform resolution across specimens. Building on this, we implemented high-speed dithered light-sheet (DiLS) illumination, extending the confocal region by over 40% and enhancing the space-bandwidth product while preserving optical sectioning. Integration of DiLS with a sweeping approach establishes the axially swept dithered light-sheet (AS-DiLS), which enhances imaging throughput while preserving axial resolution and enables uniform illumination up to 12.5-millimeter range. AS-DiLS delivers near-isotropic resolution (~2.5 μm) for investigating intricate ventricular trabeculae, vasculature, and extracellular matrix, providing a scalable platform for comprehensive cardiovascular morphology and topology assessment from embryos to adults. Volumetric imaging reveals microstructure and vascular networks in their entirety with near-isotropic resolution.
Global Navigation Satellite Systems (GNSS) underpin critical functions in modern society, from autonomous ground vehicles and unmanned aerial vehicles to civil infrastructure and defense operations. Yet, the extreme weakness of GNSS signals at the Earth's surface makes them acutely vulnerable to intentional jamming, threatening the reliability of safety- and mission-critical applications. Controlled Reception Pattern Antennas (CRPAs) with analog beamforming offer a compact, power-efficient defense against jammers, but mitigation remains difficult: the literature on analog CRPAs is sparse, and existing approaches often rely on naïve grid searches that are too slow for deployment and prone to failure in practice. In this paper, we introduce a hierarchical search framework tailored to the constraints of analog CRPAs. Our method combines binary refinement with lightweight dithering to overcome fundamental pitfalls of grid-based null steering, where mismatches between null width and grid resolution obscure the jammer's direction. By exploiting suppression contrast as a guiding signal, the algorithm identifies and resolves ambiguous cases without resorting to exhaustive probing. Simulations with a four-element analog CRPA demonstrate mean jammer suppression levels of nearly 50 dB while reducing measurement complexity by approximately 96% on average compared to exhaustive search (up to 98% in the best case), making low-latency operation feasible on size-, weight-, and power (SWaP)-constrained GNSS receivers.
The dithered ring laser gyroscope (DRLG), an ideal component for strapdown inertial navigation systems, is widely applied in fields such as aviation and aerospace due to its high precision and stability. However, uneven internal heat distribution and fluctuations in external environmental temperature can induce temperature field variations, thereby affecting its output accuracy and reliability. This study thoroughly analyzes the impact of the temperature field on DRLG output performance. Through finite element simulations and temperature testing experiments, we determine the temperature field distribution under various environmental conditions and validate the effect of temperature changes on gyroscope thermal deformation. To enhance the stability of the DRLG in complex environments, an optimized parametric design of a three-point mounted dither mechanism is proposed, and its effectiveness under extreme temperature conditions is verified through simulations and experiments. Results indicate that the optimized design significantly reduces thermal deformation and zero-bias error induced by temperature changes, improving thermal and zero-bias stability, thereby providing theoretical support and engineering solutions for high-precision inertial navigation systems.
To facilitate high spatial-temporal resolution fMRI (≦1mm3) at more broadly available field strengths (3T) and to better understand the neural underpinnings of joy, we used SE-based generalized Slice Dithered Enhanced Resolution (gSLIDER). This sequence increases SNR efficiency utilizing sub-voxel shifts along the slice direction. To improve the effective temporal resolution of gSLIDER, we utilized the temporal information within individual gSLIDER RF encodings to develop gSLIDER with Sliding Window Accelerated Temporal resolution (gSLIDER-SWAT). We first validated gSLIDER-SWAT using a classic hemifield checkerboard paradigm, demonstrating robust activation in primary visual cortex even with stimulus frequency increased to the Nyquist frequency of gSLIDER (i.e., TR = block duration). gSLIDER provided ~2× gain in tSNR over traditional SE-EPI. GLM and ICA results suggest improved signal detection with gSLIDER-SWAT's nominal 5-fold higher temporal resolution that was not seen with simple temporal interpolation. Next, we applied gSLIDER-SWAT to investigate the neural networks underlying joy using naturalistic video stimuli. Regions significantly activated during joy included the left amygdala, specifically the basolateral subnuclei, and rostral anterior cingulate, both part of the salience network; the hippocampus, involved in memory; the striatum, part of the reward circuit; prefrontal cortex, part of the executive network and involved in emotion processing and regulation [bilateral mPFC/BA10/11, left MFG (BA46)]; and throughout visual cortex. This proof of concept study demonstrates the feasibility of measuring the networks underlying joy at high resolutions at 3T with gSLIDER-SWAT, and highlights the importance of continued innovation of imaging techniques beyond the limits of standard GE fMRI.
We experimentally demonstrated that the random walk in a dithered ring laser gyroscope caused by lock-in crossing can be eliminated by lock-in error compensation. Computer simulations demonstrated the effectiveness of this method. The experimental results show that the random walk coefficient can be reduced as predicted. Furthermore, gyroscopes with different random walk performances can achieve nearly the same random walk level after compensation, illustrating that the quantum limit can be approached after removing the lock-in error.
Quantile regression helps identify how associations vary across the outcome variable's distribution. Using simulations and data from the Maternal-Infant Research on Environmental Chemicals study, we showed that frequentist quantile regression can produce implausible results where the point estimates are integers or rational numbers and the outcome variable is discrete, which is common in health research. Applying "dithering" (also known as jittering) or using Bayesian quantile regression can prevent such implausible results, but the optimal strategy is unclear. We conducted simulations with discrete outcomes to compare the bias and variability of point estimates of undithered frequentist, dithered frequentist, and Bayesian quantile regression. We also compared the coverage and interval-width variance of these methods' confidence or credible intervals. The dithered frequentist method generated point estimates that were less variable than the undithered frequentist method. The Bayesian method had the least variable point estimates, but when the sample size was low (n = 100), it exhibited bias when modeling a binary or discrete covariate. The dithered frequentist method with xy-bootstrapped confidence intervals had nominal coverage and produced intervals with relatively consistent widths. The Bayesian method with adjusted intervals also had nominal coverage, but more variable interval widths. The Bayesian method with unadjusted intervals had poor coverage. In our simulations with discrete outcomes, dithered frequentist quantile regression (particularly with xy-bootstrapped confidence intervals) had the best overall performance. The Bayesian method with adjusted intervals is an acceptable strategy, although it was biased under certain scenarios and generated credible intervals with more variable widths.
A convincing sense of embodiment in virtual reality (VR) is crucial for creating immersive and engaging experiences, as it shapes how users perceive and interact with their virtual bodies. The sense of embodiment is thereby, among others, affected by the shape, appearance, and fidelity of the virtual body. However, achieving convincing avatar appearance remains a challenge for VR applications. One promising solution is Pass-Through Embodiment (PTE), which enables users to see their real bodies in VR. PTE combines depth-based segmentation with the pass-through video stream of video-see-through displays to effectively visualize photon-captured representations of their own bodies. Despite the source-fidelity of the representation, the resolution of integrated depth sensors in Head Mounted Displays (HMD) can produce artifacts at segmentation boundaries, leading to visible aliasing. The perceptual impact of these artifacts on the VR experience remains unexplored. Therefore, in this paper we compare three edge-rendering techniques designed to reduce artifacts without compromising performance. Aside from a soft gradient, we introduce two new methods with a hard and dithered edge. The latter aims to balance the sharpness of hard masks with the smoothness of gradient transitions, without relying on alpha blending. To evaluate those methods in a PTE context, we conducted a within-subjects study that introduces a novel real-mirror paradigm, using an actual physical mirror as reference for reflection. We found significant results in measured presence and embodiment. Subsequent analysis revealed that our dithered cutout approach significantly outperforms hard masks, while no significant difference was found between soft condition. These results suggest a perceptual continuum where dithering and soft blending both effectively reduce visual artifacts through gradient representation. Together with high overall ratings on presence and embodiment across all conditions, these findings confirm PTE as a robust method for supporting embodiment and presence, while highlighting the potential of dithering as a computationally efficient yet perceptually comparable alternative to smooth blending.
While entraining neural rhythms using brain stimulation has been suggested as a therapeutic mechanism to normalise brain activity in conditions such as depression, chronic pain, or Alzheimer's disease, periodic stimulation can also inadvertently entrain brain rhythms at sub- and superharmonics of the stimulation frequency, which could lead to deleterious effects. Slightly jittering stimulation pulses (called "dithering") was previously proposed on the basis of mathematical modelling to selectively entrain a target neural rhythm while avoiding harmonic entrainment. In this study, we investigated the potential of dithering in humans. We recorded EEG in healthy adults during photic stimulation (light flicker) under periodic, dithered, reduced-strength, and control conditions. Synchronisation was quantified using spectral power and the phase-locking value. We showed that dithering suppresses half-harmonic synchronisation relative to perfectly periodic flicker, and that dithering affects synchronisation at the stimulation frequency less than at the half-harmonic. This was also the case for a periodic condition with reduced stimulation strength, as predicted by theory. Furthermore, we demonstrated using synthetic data and modelling that the half-harmonic responses observed in participants cannot be explained by the superposition of evoked responses (even when modulated at the half-harmonic frequency), and are better matched by a minimal oscillator model. Our findings are consistent with half-harmonic EEG synchronisation in response to photic stimulation predominantly reflecting half-harmonic entrainment rather than the summation of evoked responses, and with dithering being an effective strategy to suppress subharmonic entrainment without reducing the energy delivered.
Metallic components in magnetic resonance imaging (MRI)-guided robotic catheters, such as leadwires and microcoils, can interact with the scanner's radiofrequency (RF) fields, causing heating via the antenna effect and Joule heating, leading to localized temperature rises and an increased risk of thermal injury. Ensuring thermal safety will enable safe and reliable operation of magnetically actuated robotic catheters within MRI environments. This study aims to develop a novel MRI-compatible robotic catheter design that mitigates RF-induced and resistive heating, ensuring patient safety and proper functionality during MRI-guided interventions, particularly for cardiac ablation procedures. The catheter is directly actuated by magnetic torques generated on current-carrying microcoils at the tip by the MRI scanner's static magnetic field, allowing precise navigation. The catheter design incorporates systematically tuned microcoil parameters and distributed capacitors along the leadwires to suppress resonance and minimize RF energy absorption. A dithering technique applying actuation currents at a 50 % duty cycle (10 Hz, 50 ms on/off) promotes forced convection to reduce resistive heating. A resistor-capacitor (RC) equivalent circuit model was used to characterize the catheter's thermal behavior. Thermal validation was conducted on a 3T MRI scanner using a saline-filled phantom, fiber-optic temperature probes, and a balanced steady-state free precession (bSSFP) imaging sequence with actuation currents up to 1 A. Hot spot detection sweeps along the leadwires and spatial heating assessments at multiple bore positions were also performed. The prototype exhibited a maximum temperature increase of 0.6 ∘ C during simultaneous imaging and 1 A dithered actuation, well within Food and Drug Administration (FDA) safety limits. No hot spots were detected along the leadwires, and thermal performance remained consistent across all bore positions tested. The catheter design effectively mitigates both RF-induced and resistive heating under the tested conditions. These results demonstrate the suitability of the design for MRI-guided interventional procedures under the tested conditions, while remaining within FDA temperature limits.
High-resolution diffusion MRI (dMRI) is often constrained by the fundamental trade-off between geometric distortion, signal-to-noise ratio (SNR), and scan efficiency. The purpose of this study is to develop and evaluate a new pulse sequence for highly accelerated distortion-corrected dMRI by inserting additional echoes without prolonging TR, when generalized slice dithered enhanced resolution (gSlider) radiofrequency encoding is used for volumetric acquisition. A phase-reversed interleaved multi-echo acquisition (PRIME) was developed for rapid, high-resolution, and distortion-corrected dMRI, which includes multiple echoes where the first echo is for target diffusion-weighted imaging (DWI) acquisition with high-resolution and additional echoes are acquired with either lower resolution for 1) high-fidelity field map estimation, 2) phase navigation for shot-to-shot phase correction, 3) motion navigation across diffusion directions, or with high resolution to enable 4) high-fidelity diffusion relaxometry acquisitions. The sequence was evaluated on in vivo data acquired from healthy volunteers on clinical and Connectome 2.0 scanners. In vivo experiments demonstrated that 1) high in-plane acceleration was achieved using the high-fidelity field maps estimated from the second echo, which was made at a lower resolution/acceleration to increase its SNR while matching the effective echo spacing of the first readout, 2) high-resolution diffusion relaxometry parameters were estimated from triple-echo PRIME data using a white matter model of multi-TE spherical mean technique (MTE-SMT), and 3) high-fidelity mesoscale DWI at 490 µm isotropic resolution was obtained in vivo by capitalizing on the high-performance gradients of the Connectome 2.0 scanner. The proposed PRIME sequence enabled highly accelerated, high-resolution, and distortion-corrected dMRI using additional echoes without prolonging scan time when gSlider encoding is utilized.
We present a continuous-variable (CV), quantum-key-distribution (QKD)-inspired, keyed physical-layer masking method for classical M-level pulse-amplitude-modulation (M-PAM) links. A transmitter adds a per-symbol Gaussian dither [Formula: see text], generated by a seeded pseudorandom number generator (PRNG), directly to the analog waveform, and an authorized receiver that shares the PRNG, its seed, and [Formula: see text] regenerates and subtracts the same sequence prior to slicing. Because masking and demasking act on the data-carrying optical signal, the scheme operates over conventional, amplifier-compatible fiber without reserving a separate quantum channel. First, we analyze an idealized continuous-valued baseband model in which the PAM symbols pass through an additive-white-Gaussian-noise (AWGN) channel and no extra amplitude quantization or link impairments are present. In this setting we show that, when the seed and [Formula: see text] are matched, subtractive cancellation is essentially ideal and the Gray-coded 4-PAM bit-error-rate (BER) versus signal-to-noise ratio (SNR) curve coincides with the standard AWGN benchmark, whereas seed or parameter mismatches act as additional Gaussian noise and produce several-decibel SNR penalties or high, SNR-independent BER floors. We then implement the same masking mechanism in a system-level OptiSystem model of an intensity-modulation/direct-detection (IM/DD) link and enable a [Formula: see text] double-quantization mapping, in which dithered 4-PAM symbols are passed through a mid-rise 8-level quantizer at the transmitter and a mid-tread 4-level quantizer at the receiver. In this OptiSystem realization the resulting pseudo-constellation exhibits amplitude statistics reminiscent of probabilistic shaping and an intrinsic, SNR-independent algorithmic BER floor, typically [Formula: see text] in back-to-back simulations. By choosing forward-error-correction (FEC) codes whose waterfall threshold lies near this floor and by tuning the dither variance at the transmitter and receiver, the link can be operated in a deliberately fragile edge-of-FEC regime in which small excess disturbances (for example, seed or variance mismatch) push the BER out of the decodable region and strongly obfuscate the payload. The proposed masking is modulation-agnostic and is intended as a classical protection layer rather than a full QKD protocol; keying material can be supplied over an authenticated supervisory channel or by an independent QKD system.
Monte Carlo path tracing remains the standard approach for photorealistic image synthesis, but its high variance makes efficient rendering challenging. Reservoir-based Spatiotemporal Importance Resampling (ReSTIR) has recently emerged as a promising framework for efficiently reusing samples in real-time path tracing. However, the stochastic resampling step of ReSTIR makes it incompatible with ideal sample distributions like blue-noise. In this work, we reinterpret the ReSTIR process through the lens of dithered sampling and establish a connection between reservoir resampling and ordered blue-noise sampling. Building on this perspective, we propose a blue-noise-driven spatiotemporal resampling scheme that preserves perceptually favorable high-frequency error distribution during reuse. We provide a full integration of the proposed method into a real-time path tracer. Our experiments demonstrate that integrating blue noise into ReSTIR can improve the perceptual quality of low-sample-count rendered images across a range of scenes. Quantitative evaluations show reductions in perceptual error metrics with only marginal runtime overhead, maintaining efficiency suitable for real-time rendering applications.
Ensuring copyright protection against illegal attacks and image processing operations while maintaining blind detection capabilities presents a significant challenge in color image watermarking. To address this issue, in this article, we propose a blind watermarking approach that integrates the Arnold transformation with watermark embedding in the transformed domain. Modified forms of Hahn discrete moments are introduced to effectively extract the key image features within this domain. The watermark is encrypted before being embedded into the magnitudes of the Hahn moments for each block using dither modulation, ensuring robustness against different types of attacks. Additionally, a reconstruction algorithm for color images based on Hahn moments is developed and employed during the watermark extraction phase. Experimental results confirm that the proposed scheme achieves high efficiency in terms of both imperceptibility and robustness. Extensive evaluations demonstrate its superior performance, with its PSNR and SSIM values reaching 64.693 dB and 0.9998, respectively. In the no-attack scenario, a perfect-quality watermark is extracted with BER = 0 and NCC = 1. Under various attacks, including filtering, noise, geometric, and robustness attacks, the proposed scheme continues to extract high-quality watermarks, achieving an average BER of 0.00001 and NCC of 0.9998, thereby outperforming the existing image watermarking techniques.
This paper presents the RaDICAL monostatic passive radar framework for target detection and localization using a sparse uniform circular array (SUCA), multifrequency dither, and dictionary-based waveform processing. Rather than forming conventional spatial images or relying on explicit Doppler/TDOA/FDOA estimation, the proposed method encodes target geometry directly into a composite receiver waveform and performs localization through hypothesis testing using a library of predicted waveform responses. A SUCA-based signal model is developed for both point and extended targets, and detection/localization formulated as a waveform-domain dictionary matching problem using normalized complex correlation and QR-domain processing. A reproducible MATLAB-based Monte Carlo study evaluates waveform separability, probability of detection versus input SNR, receiver operating characteristic (ROC) behavior, localization performance, and receiver power balance. The results demonstrate that multifrequency dither produces distinctive composite waveforms with strong hypothesis separability and stable waveform domain recognition performance. ROC analysis and detection simulations showed reliable target detection at input SNR levels on the order of -10 to 0 dB, consistent with the coherent processing gain achieved through waveform-domain correlation processing. The corresponding power-balance analysis indicates that reliable detection and localization are feasible using modest illuminator EIRP and compact receiver dimensions. These results support the feasibility of compact reference-free waveform domain passive sensing for joint target detection and localization.
High-precision non-contact online voltage monitoring has attracted considerable attention due to its improved safety. Based upon existing research works and validation of non-contact voltage measurement techniques, an enhanced approach for online voltage monitoring is proposed in this paper. By analyzing the influence of the relationship between coupling capacitance and input capacitance on monitoring results, an RC-type signal input circuit with enhanced adaptability has been designed for practical engineering scenarios that may involve large input capacitance. Furthermore, a mixed-signal measurement method based on phase dithering is proposed to eliminate detection errors caused by relative phase drift during synchronous sampling in existing signal injection approaches. This improvement enhances measurement accuracy and offers a more robust theoretical basis for selecting injection signal frequencies. The hardware circuit architecture and data processing scheme presented in this work are straightforward and have been validated using an experimental prototype tested at 50 Hz/500 V and 2000 Hz/300 V. Long-term energized testing demonstrates that the system operates stably at room temperature with a relative measurement error below 0.5%. This study provides a high-precision, easily implementable non-contact measurement solution for online monitoring of low-frequency, low-voltage signals in complex electromagnetic environments such as industrial control signals, low-voltage power signals, and rail transit signals.
This paper presents a subtractive-dither-assisted background calibration technique for a 2 GS/s 12 bit pipelined analog-to-digital converter (ADC). A large 7 bit pseudo-random dither is injected in both the flash and the multiplying digital-to-analog converter (MDAC) to decorrelate the differential nonlinearity (DNL) errors caused by the inherent quantization error nonlinearity, capacitor mismatching, and inter-stage amplifier nonlinearity from the input signal. Designed in a 28 nm CMOS process with a 1 V supply, post-layout simulations demonstrate a 10.2 dB improvement in spurious-free dynamic range (SFDR), from 73.8 dB to 84.4 dB, with dithering enabled under a close-to-Nyquist input frequency of 985 MHz. Although the injected dither cannot be completely removed in the digital domain, the proposed ADC exhibits only a 0.5 dB degradation in signal-to-noise-and-distortion ratio (SNDR) for full-scale input, achieving an SNDR of 62.3 dB and an effective number of bits (ENOB) of 10.1 bits. Dithering also improves static performance, with DNL and INL optimized to +0.54/-0.53 LSBs and +0.85/-0.88 LSBs, respectively. Moreover, the proposed dither-based calibration technique introduces an additional power consumption of less than 2 mW.
A power ramp from L- to H-mode-like conditions is carried out in a 50 ms long global full-f turbulence simulation of ASDEX Upgrade with the grillix code. After 32 ms of slow profile evolution, a sudden change in transport triggers a pedestal buildup within ∼100  μs. This transition results from an abrupt shift from drift-wave (DW) to kinetic-ballooning-mode (KBM) turbulence. The self-consistently evolved E×B flow shear first increases slowly and then sharply. Geodesic acoustic mode and Alfvénic flow oscillations intensify prior to the transition and subsequently die out. This is followed by slow oscillations of the transport and profiles, reminiscent of a dithering I-phase or edge-localized-mode (ELM) cycles observed experimentally. This study paves the way for a better understanding of confinement regime transitions.
A high-power 2-μm phase-locked femtosecond source is demonstrated by a degenerate doubly resonant optical parametric oscillator (DROPO), which is synchronously pumped by a home-built Yb:YAG Kerr-lens mode-locked thin-disk laser. A dither-free scheme, incorporating an intracavity 'parasitic' sum-frequency of signal and pump as an error signal, has been used to stabilize the DROPO at degeneracy. To our knowledge, with a pump power of 15.8 W, this system achieves the highest output power (5.6 W) and conversion efficiency (35 %) for an actively stabilized, degenerate BBO-based DROPO operating at 2 μm. The long-term stability measurement of the power over 90 minutes shows a root mean square (RMS) power noise of 0.78%, demonstrating excellent stability and reliable performance.
The primary aim of this study is to address the challenges in submillimeter diffusion magnetic resonance imaging (dMRI), such as prolonged acquisition time, low signal-to-noise ratio (SNR), and signal attenuation at slab boundary. We introduce a novel 3D Fourier encoding mechanism, PRISM (Partition-encoded Simultaneous Multislab), and a new concept termed "pseudo slab." The PRISM method allows simultaneous inter-slab and intra-slab Fourier encoding solely using the slice gradient, eliminating the need for RF encoding. The pseudo slab concept not only minimizes inter-slab signal leakage and Gibbs truncation artifacts, but also enables phase scheduling onto intra-slab slices, thus eliminating the need for a phase navigator and time-varying gradient such as variable-rate selective excitation (VERSE). Integrating the pseudo slab with PRISM, the resulting pseudo PRISM (pPRISM) technique achieved rapid acquisition of dMRI with 0.86-mm isotropic resolution and an effective TR of 12 s (TR of 2.4 s per shot). Compared to Generalized Slice Dithered Enhanced Resolution with Simultaneous Multislice (gSlider-SMS), the shortened acquisition time improved the SNR efficiency without aggravating the signal attenuation at slab boundaries. The robustness of pPRISM against field inhomogeneity was also supported by Bloch simulation and empirical data. Furthermore, dMRI was successfully achieved with a 0.76-mm isotropic resolution, an effective TR of 15 s, and b-values of up to 2500 s/mm2. The ultrahigh-resolution results of the proposed pPRISM method demonstrated the anticipated dark bands of fractional anisotropy (FA) at gray-white matter boundaries and yielded more plausible tractography results. Our pPRISM framework paves the way for acquiring ultrahigh-resolution dMRI in clinically feasible times, advancing microstructural research.
Ring laser gyroscopes (RLGs) measure rotation via the Sagnac effect: a slight difference in the frequency of the two counter-propagating beams within the resonator. However, at low rotation rates, an intrinsic limitation in RLGs, known as the lock-in phenomenon, counteracts this effect, precluding the widespread adoption of RLGs as motion sensors. Past efforts to avoid this phenomenon include mechanical dithering1 and magneto-optic non-reciprocity techniques2. Such techniques require external components that limit the miniaturization of RLGs. Here we present a self-biased method that overcomes this limitation through chiral spontaneous symmetry breaking and nonlinear frequency pulling in a He-20Ne RLG without inserted elements. Supported by a theoretical model that reveals phase transition conditions with spontaneous symmetry breaking and the dynamics of bistable chiral states, our experiments demonstrate deterministic chirality switching synchronized with rotation direction. Remarkably, the chiral RLG has a linear frequency response at near-zero rotation rates, achieving an open-loop bias instability of 2.2 × 10-2 degrees per hour at a 10 s integration time. Our work presents a strategy for the development of all-solid-state, high-precision and miniaturized laser gyroscopes, which could be used for the exploration of the interplay of nonlinear dynamics and spontaneous symmetry breaking in photonic systems.