Yuanlong Zhang

Yuanlong Zhang

Assistant Professor, School of Life Sciences, Tsinghua University

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publications

Doubling the pixel count limitation of single-pixel imaging via sinusoidal amplitude modulation

Published in Opt Express, 2018

We demonstrate a single-pixel imaging (SPI) method that can achieve pixel resolution beyond the physical limitation of the spatial light modulator (SLM), by adopting sinusoidal amplitude modulation and frequency filteri…

Recommended citation: Y. Zhang, J. Suo, Y. Wang et al. (2018). Doubling the pixel count limitation of single-pixel imaging via sinusoidal amplitude modulation. Opt Express
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Enhancing axial resolution and background rejection in line-scanning temporal focusing microscopy by focal modulation

Published in Opt Express, 2018

Compared with two-photon point-scanning microscopy, line-scanning temporal focusing microscopy breaks the limitation on imaging rate and maintains the axial resolution, which makes it promising for various biomedical st…

Recommended citation: Y. Zhang, L. Kong, H. Xie et al. (2018). Enhancing axial resolution and background rejection in line-scanning temporal focusing microscopy by focal modulation. Opt Express
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Schlieren two-photon microscopy for phase-contrast imaging

Published in Appl Opt, 2019

While simultaneous phase-contrast and two-photon fluorescence imaging in microscopy can bring abundant biomedical information, it is difficult to retrieve phase information from conventional two-photon microscopes. To r…

Recommended citation: H. Xie, Y. Zhang, L. Kong et al. (2019). Schlieren two-photon microscopy for phase-contrast imaging. Appl Opt
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Overcoming tissue scattering in wide-field two-photon imaging by extended detection and computational reconstruction

Published in Opt Express, 2019

Compared to point-scanning multiphoton microscopy, line-scanning temporal focusing microscopy (LTFM) is competitive in high imaging speed while maintaining tight axial confinement. However, considering its wide-field de…

Recommended citation: Y. Zhang, T. Zhou, X. Hu et al. (2019). Overcoming tissue scattering in wide-field two-photon imaging by extended detection and computational reconstruction. Opt Express
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Sinusoidal Sampling Enhanced Compressive Camera for High Speed Imaging

Published in IEEE Trans Pattern Anal Mach Intell, 2019

Compressive sensing technique allows capturing fast phenomena at much higher frame rate than the camera sensor, by recovering a frame sequence from their encoded combination. However, most conventional compressive video…

Recommended citation: C. Deng, Y. Zhang, Y. Mao et al. (2019). Sinusoidal Sampling Enhanced Compressive Camera for High Speed Imaging. IEEE Trans Pattern Anal Mach Intell
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Adaptive optimization for axial multi-foci generation in multiphoton microscopy

Published in Opt Express, 2019

To improve imaging speed, multifocal excitation is widely adopted as a parallel strategy in laser-scanning microscopy. Specifically, axial multifocal microscopy is popular in neuroscience as it enables functional imagin…

Recommended citation: X. Li, Y. Zhang, K. Liu et al. (2019). Adaptive optimization for axial multi-foci generation in multiphoton microscopy. Opt Express
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Multi-plane, wide-field fluorescent microscopy for biodynamic imaging in vivo

Published in Biomed Opt Express, 2019

Wide-field fluorescent microscopy (WFFM) is widely employed in biomedical studies, due to its inherent advantages in high-speed imaging of biological dynamics noninvasively and specifically. However, WFFM suffers from t…

Recommended citation: R. Shi, C. Jin, H. Xie et al. (2019). Multi-plane, wide-field fluorescent microscopy for biodynamic imaging in vivo. Biomed Opt Express
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Robust sensorless wavefront sensing via neural network in a single-shot

Published in Proc. SPIE 11248, Adaptive Optics and Wavefront Control for Biological Systems VI, 2020

SPIE BiOS 2020 paper on robust sensorless wavefront sensing via neural network in a single-shot.

Recommended citation: Zhang, Yuanlong; Xie, Hao; Dai, Qionghai. (2020). Robust sensorless wavefront sensing via neural network in a single-shot. Proc. SPIE 11248, Adaptive Optics and Wavefront Control for Biological Systems VI.
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Conformal convolutional neural network (CCNN) for single-shot sensorless wavefront sensing

Published in Opt Express, 2020

Wavefront sensing technique is essential in deep tissue imaging, which guides spatial light modulator to compensate wavefront distortion for better imaging quality. Recently, convolutional neural network (CNN) based sen…

Recommended citation: Y. Zhang, T. Zhou, L. Fang et al. (2020). Conformal convolutional neural network (CCNN) for single-shot sensorless wavefront sensing. Opt Express
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DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning

Published in Light Sci Appl, 2021

Light field microscopy (LFM) has been widely used for recording 3D biological dynamics at camera frame rate. However, LFM suffers from artifact contaminations due to the illness of the reconstruction problem via naive R…

Recommended citation: Y. Zhang, B. Xiong, Y. Zhang et al. (2021). DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning. Light Sci Appl
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Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising

Published in Nature Methods, 2021

Calcium imaging has transformed neuroscience research by providing a methodology for monitoring the activity of neural circuits with single-cell resolution. However, calcium imaging is inherently susceptible to detectio…

Recommended citation: X. Li, G. Zhang, J. Wu et al. (2021). Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising. Nature Methods
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Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit

Published in Nat Biotechnol, 2022

A fundamental challenge in fluorescence microscopy is the photon shot noise arising from the inevitable stochasticity of photon detection. Noise increases measurement uncertainty and limits imaging resolution, speed and…

Recommended citation: X. Li, Y. Li, Y. Zhou et al. (2022). Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit. Nat Biotechnol
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Mesoscale volumetric light-field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz

Published in Nature Methods, 2023

Various implementations of mesoscopes provide optical access for calcium imaging across multi-millimeter fields of view in the mammalian brain; however, capturing the activity of the neuronal population within such fiel…

Recommended citation: T. Nobauer, Y. Zhang, H. Kim et al. (2023). Mesoscale volumetric light-field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz. Nature Methods
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A miniaturized mesoscope for the large-scale single-neuron-resolved imaging of neuronal activity in freely behaving mice

Published in Nature Biomedical Engineering, 2024

Exploring the relationship between neuronal dynamics and ethologically relevant behaviour involves recording neuronal-population activity using technologies that are compatible with unrestricted animal behaviour. Howeve…

Recommended citation: Yuanlong Zhang, Lekang Yuan, Qiyu Zhu et al. (2024). A miniaturized mesoscope for the large-scale single-neuron-resolved imaging of neuronal activity in freely behaving mice. Nature Biomedical Engineering
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Long-term mesoscale imaging of 3D intercellular dynamics across a mammalian organ

Published in Cell, 2024

Summary

A comprehensive understanding of physio-pathological processes necessitates non-invasive intravital three-dimensional (3D) imaging over varying spatial and temporal scales. However, huge data throughp…

Recommended citation: Yuanlong Zhang, Mingrui Wang, Qiyu Zhu et al. (2024). Long-term mesoscale imaging of 3D intercellular dynamics across a mammalian organ. Cell
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Mesoscale neuronal granular trial variability in vivo illustrated by nonlinear recurrent network in silico

Published in Nature Communications, 2024

Large-scale neural recording with single-neuron resolution has revealed the functional complexity of the neural systems. However, even under well-designed task conditions, the cortex-wide network exhibits highly dynamic…

Recommended citation: Guihua Xiao, Yeyi Cai, Yuanlong Zhang et al. (2024). Mesoscale neuronal granular trial variability in vivo illustrated by nonlinear recurrent network in silico. Nature Communications
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Semi-supervised noise-resilient anomaly detection with feature autoencoder

Published in Knowledge-Based Systems, 2024

Most methods only use normal samples to learn anomaly detection (AD) models in an unsupervised manner. However, these samples may be noisy in real-world applications, causing the models to be unable to accurately identi…

Recommended citation: Tianyi Zhu, Lina Liu, Yibo Sun et al. (2024). Semi-supervised noise-resilient anomaly detection with feature autoencoder. Knowledge-Based Systems
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Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2025

Image dehazing is a crucial task that involves the enhancement of degraded images to recover their sharpness and textures. While vision Transformers have exhibited impressive results in diverse dehazing tasks, their qua…

Recommended citation: Xiongfei Su, Siyuan Li, Yuning Cui et al. (2025). Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing. Proceedings of the AAAI Conference on Artificial Intelligence
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Adaptive visible light integrated sensing and communication for cable-free virtual reality

Published in Photonics Research, 2025

Visible light communication plays an essential role in the next-generation 6G network due to its extremely high bandwidth and ultrafast transmission speed. Incorporating position sensing functionality into the communica…

Recommended citation: Ziwei Li, Jianyang Shi, Chao Shen et al. (2025). Adaptive visible light integrated sensing and communication for cable-free virtual reality. Photonics Research
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Suction Leap-Hand: Suction Cups on a Multi-fingered Hand Enable Embodied Dexterity and In-Hand Teleoperation

Published in IEEE International Conference on Robotics and Automation, 2025

Dexterous in-hand manipulation remains a foundational challenge in robotics, with progress often constrained by the prevailing paradigm of imitating the human hand. This anthropomorphic approach creates two critical bar…

Recommended citation: Sun Zhaole, Xiaofeng Mao, Jihong Zhu et al. (2025). Suction Leap-Hand: Suction Cups on a Multi-fingered Hand Enable Embodied Dexterity and In-Hand Teleoperation. IEEE International Conference on Robotics and Automation
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Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling

Published in Proceedings of the 42nd International Conference on Machine Learning, 2025

Temporal sequences, even after stationarization, often exhibit leptokurtic distributions with fat tails and persistent distribution shifts. These properties destabilize feature dynamics, amplify model variance, and hind…

Recommended citation: Tianyu Liu, Kai Sun, Fuchun Sun et al. (2025). Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling. Proceedings of the 42nd International Conference on Machine Learning
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LensCopilot is all you need: leveraging a knowledge-grounded LLM for automated high-performance lens design

Published in Fifth International Computational Imaging Conference (CITA 2025), 2026

Designing multi-elements high-performance optical systems ab initio remains challenging due to a high-dimensional, non-convex search landscape where conventional optimizers without strong initial structures are prone to…

Recommended citation: Rongkang Zhu, Mingrui Wang, Yuanlong Zhang (2026). LensCopilot is all you need: leveraging a knowledge-grounded LLM for automated high-performance lens design. Fifth International Computational Imaging Conference (CITA 2025)
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The Optically Guided and Pre-assembled Implantation Cranial Window Reveals Cortical Spatial Representations during Navigation

Published in Research, 2026

Head-mounted miniaturized microscopes have provided new capabilities for neuroscience by enabling neural imaging in freely behaving animals. The long-term application of these microscopes, however, is contingent upon sp…

Recommended citation: Weihao Zhao, Lin Gao, Yu Wu et al. (2026). The Optically Guided and Pre-assembled Implantation Cranial Window Reveals Cortical Spatial Representations during Navigation. Research
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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