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18
2026-05

Nat Commun 2026 | Dynamic neuronal ensembles encode burst-suppression revealed by cortex-wide opt...

Burst-suppression is a characteristic brain activity pattern commonly observed during deep anesthesia, coma, hypothermia, and certain pathological states of unconsciousness. It is marked by alternating episodes of high-amplitude electrical bursts and periods of strongly suppressed activity. For decades, this phenomenon has been primarily observed through macroscopic electroencephalographic sign...
08
2026-05

Nat Methods 2026 | Unsupervised transfer learning enables multi-animal tracking without training ...

Animal tracking is an important approach for understanding social interactions, neural mechanisms, and behavioral decision-making. It is widely used in neuroscience, psychology, pharmacology, disease model research, and many other fields. Achieving precise and efficient multi-animal tracking will strongly promote research across multiple disciplines.In recent years, with the development of arti...
08
2026-05

The First International Conference on Mesoscale Biology Successfully Held in London, United Kingd...

From April 19 to 21, 2026, the First International Conference on Mesoscale Biology (ICMB 2026) was successfully held at the Royal Society in London, United Kingdom. Over the past decade, the rapid advancement of mesoscale in vivo imaging technologies has given rise to the emerging discipline of mesoscale biology. The successful convening of this conference marks a new stage in the development o...
28
2026-04

Nat Biotechnol 2026 | High-fidelity intravital imaging of biological dynamics with latent-space-e...

Long-term, high-resolution intravital imaging of cells and tissues is essential for understanding immune responses, neural activity, and cellular dynamics. However, in thick tissues or complex biological environments, spatially heterogeneous refractive index distributions introduce significant optical aberrations during fluorescence propagation, leading to image blurring and structural distorti...
28
2026-02

Nature 2026 | Sub-second Volumetric 3D Printing by Synthesis of Holographic Light Fields

The laboratory of imaging and intelligent technology has developed a novel volumetric 3D printing technology: Digital Incoherent Synthesis of Holographic light fields (DISH). By extending computational optics to the field of 3D printing, this innovation has set a new speed record for volumetric 3D printing with an exposure time of just 0.6 seconds. When integrated with fluidic channels, it enab...
26
2026-02

Science 2026 | Deeper detection limits in astronomical imaging using self-supervised spatiotempor...

Researchers have developed an artificial intelligence (AI) model for astronomical imaging that significantly enhances scientists' ability to peer into the deepest reaches of the cosmos.A cross-disciplinary research team from Tsinghua University developed the model, named ASTERIS (Astronomical Spatiotemporal Enhancement and Reconstruction for Image Synthesis), using computational optics and AI a...
28
2025-10

Nat Methods 2025 | CELLECT: contrastive embedding learning for large-scale efficient cell trackin...

Continuous advancements in mesoscale in vivo microscopy and related imaging technologies have enabled large-field, high-resolution 3D imaging within living tissues, capturing long-term dynamics across entire organs. These datasets, often spanning from hundreds of micrometers to centimeter scales and involving thousands or even tens of thousands of cells over several hours or longer, can reach t...
11
2025-10

Nat Commun 2025 | Prominent involvement of acetylcholine dynamics in stable olfactory representat...

High-throughput recording of neural activity has greatly advanced our understanding of the spatiotemporal dynamics and functional organization of neurons1–3. However, other types of brain signals—such as the multi-regional dynamics of neurotransmitters and neuromodulators, as well as their spatiotemporal relationships with neuronal activity—remain poorly understood4. This lack of knowledge l...
19
2025-05

Nat Methods 2025 | Physics-driven self-supervised learning for fast high-resolution robust 3D rec...

Cells are the fundamental units of life. Many of their functions and intercellular interactions are only manifested in different physiological and pathological states within living animals, making them difficult to replicate in vitro. Therefore, achieving long-term, high-speed, high-resolution, three-dimensional imaging of large-scale cell populations in situ in living animals will provide an u...
02
2025-05

Nat Methods 2025 | Fast-adaptive super-resolution lattice light-sheet microscopy for rapid, long-...

In the three-dimensional space of cells and tissues, complex biological processes maintain a precise and orderly operation at all times, sustaining the basic functions of life activities. To observe dynamic biological processes from a three-dimensional perspective, the Nobel Prize in Chemistry winner Eric Betzig invented the lattice light-sheet microscope (LLSM), which significantly reduces the...
19
2025-03

Sci Adv 2025︱Splenic red pulp macrophages eliminate the liver-resistant Streptococcus pneumoniae...

Sepsis caused by bloodstream infections is one of clinical practice's most severe infectious diseases. Capsulated bacteria are among the most common pathogens responsible for bloodstream infections, including Gram-positive Streptococcus pneumoniae and Staphylococcus aureus, as well as Gram-negative Klebsiella pneumoniae and Escherichia coli. The interaction between pathogens and the host immune...
13
2025-02

Nat Biotechnol 2025 | A neural network for long-term SR imaging of live cells with reliable confi...

Microscopic images with high signal-to-noise ratios and high resolution consistently contain richer and more accurate information, helping us perceive the microscopic world with greater precision. However, traditional super-resolution (SR) microscopy techniques often sacrifice other important performance metrics, such as imaging duration and speed, while improving spatial resolution, due to lim...
21
2024-11

Nat Commun 2024 | Mesoscale Neuronal Granular Trial Variability in Vivo Illustrated by Nonlinear ...

The rapid development of in vivo mesoscale imaging technology has made it possible to dynamically observe large-scale neural activity. High-precision data from large-scale neural recordings make the differences between repeated trials impossible to ignore. Traditional neuroscience has viewed these differences as unwanted noise and typically reduces their impact by averaging across multiple tria...
20
2024-09

OPTICA | High-speed in toto 3D imaging with isotropic resolution by scanning light-field tomograp...

【Highlights of This Issue】With the rapid development of tissue clearing technologies, a growing number of biological applications require whole-mount imaging of large-scale transparent samples, which have been successfully applied in fields such as toxicology, neuroscience, and developmental biology. Although light sheet fluorescence microscopy (LSFM) has been widely adopted in this area, opt...
20
2024-09

Light: Science & Applications | Aberration-robust monocular passive depth sensing using a meta-im...

Depth sensing is fundamental to our understanding of and interaction with the three-dimensional world. It is also crucial in fields such as autonomous driving, drone control, and augmented reality. However, efficiently and accurately capturing detailed depth information has long been a challenge. Active depth sensing technologies like LiDAR and TOF cameras are limited by high power consumption,...
18
2024-09

Cell | Long-term mesoscale imaging of 3D intercellular dynamics across a mammalian organ

Research background“If a craftsman wants to do good work, he must first sharpen his tools.”― Confucius, The AnalectsScientific instruments are vital for humanity to understand the world and explore the unknown. As Mendeleev stated, " Science begins where one begins to measure," and instrument innovation is a cornerstone of scientific breakthroughs. It's also a key area for China to become a ...
09
2024-08

Nature | Fully forward mode training for optical neural networks

As the field of artificial intelligence opens a new chapter with high-computing power and large models, the question of how to achieve efficient and precise training of large-scale neural networks has become a hot topic in international frontier research.The research team led by Professor Lu Fang from the Department of Electronic Engineering and the team led by Academician Qionghai Dai from the...
05
2024-07

Nature Photonics | Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wave...

In 1964, American physicist Richard Feynman pointed out that "turbulence is one of the most important unsolved problems in classical physics." Atmospheric turbulence, a highly chaotic system, is one of the most elusive forms of turbulence, characterized by extremely high randomness in its motion patterns, making it difficult to model, detect, and predict accurately. The interdisciplinary team o...
24
2024-06

Nature Biomedical Engineering | A miniaturized mesoscope for the large-scale single-neuron-resolv...

A new head-mounted microscope, SOMM (Systematically Optimized Miniaturized Mesoscope), is transforming neuroscience research. Published in Nature Biomedical Engineering, SOMM enables large-scale, high-resolution recording of brain activity in freely behaving mice, offering unprecedented insights into the neural basis of behavior.SOMM overcomes limitations of traditional brain imaging methods by...
24
2024-06

Nature Communications| Zero-shot learning enables instant denoising and super-resolution in optic...

Professor Qionghai Dai’s research group from Department of Automation, Tsinghua University, devised a universal microscopic image denoising and super-resolution processing framework, named ZS-DeconvNet. The related study was published in Nature Communications on May, 16th, 2024, entitled “Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy”.Mi...

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News

Nat Commun 2026 | Dynamic neuronal ensembles encode burst-suppression revealed by cortex-wide opt...

Nat Methods 2026 | Unsupervised transfer learning enables multi-animal tracking without training ...

The First International Conference on Mesoscale Biology Successfully Held in London, United Kingd...

Nat Biotechnol 2026 | High-fidelity intravital imaging of biological dynamics with latent-space-e...

Nature 2026 | Sub-second Volumetric 3D Printing by Synthesis of Holographic Light Fields

Science 2026 | Deeper detection limits in astronomical imaging using self-supervised spatiotempor...

Nat Methods 2025 | CELLECT: contrastive embedding learning for large-scale efficient cell trackin...

Nat Commun 2025 | Prominent involvement of acetylcholine dynamics in stable olfactory representat...

Nat Methods 2025 | Physics-driven self-supervised learning for fast high-resolution robust 3D rec...

Nat Methods 2025 | Fast-adaptive super-resolution lattice light-sheet microscopy for rapid, long-...

Sci Adv 2025︱Splenic red pulp macrophages eliminate the liver-resistant Streptococcus pneumoniae...

Nat Biotechnol 2025 | A neural network for long-term SR imaging of live cells with reliable confi...

Nat Commun 2024 | Mesoscale Neuronal Granular Trial Variability in Vivo Illustrated by Nonlinear ...

OPTICA | High-speed in toto 3D imaging with isotropic resolution by scanning light-field tomograp...

Light: Science & Applications | Aberration-robust monocular passive depth sensing using a meta-im...

Cell | Long-term mesoscale imaging of 3D intercellular dynamics across a mammalian organ

Nature | Fully forward mode training for optical neural networks

Nature Photonics | Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wave...

Nature Biomedical Engineering | A miniaturized mesoscope for the large-scale single-neuron-resolv...

Nature Communications| Zero-shot learning enables instant denoising and super-resolution in optic...

Department of Automation, Tsinghua University

Shenzhen Graduate School of Tsinghua University

Tsinghua-Berkeley Shenzhen College

Zhejiang Institute of Future Technology