News-LImIT Tsinghua University

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14
2026-09

Nat Methods 2026 | Rapid robust high-fidelity 3D neuronal extraction from multiview calcium imagi...

Three-dimensional microscopy allows researchers to simultaneously record the activity of tens of thousands of neurons across brain regions, offering a vital window into understanding biological cognition and behavior. However, noise, light scattering, and the computational demands of terabyte-scale datasets make it difficult to extract neurons and their activity signals accurately and efficient...
11
2026-09

Nat Med 2026 | Initial Lessons from Real-world Implementation of an AI-Agent Eye Clinic in China

On September 10, a multidisciplinary team from Tsinghua University published an article entitled “Initial Lessons from Real-world Implementation of an AI-Agent Eye Clinic in China” in Nature Medicine. Drawing on the development and real-world implementation of the AI-Agent Augmented Tsinghua Eye Clinic (AI-TEC), the article explores how medical artificial intelligence can move beyond the conv...
16
2026-07

Nat Biotechnol 2026 | High-fidelity fast fluorescence lifetime imaging by event-based denoising

Fluorescence lifetime imaging microscopy (FLIM) measures the duration that a fluorescent molecule remains excited before radiative decay, providing quantitative information on molecular environments, interactions, and protein conformations. However, accurate lifetime determination conventionally requires repeated excitation and the accumulation of a large number of photons at each pixel. This p...
16
2026-07

Nat Biotechnol 2026 | High numerical aperture confocal volumetric mesoscope reveals mesoscale sub...

Within mammalian organisms, millions of immune cells and other functional cells continually undergo directed migration and coordinated interactions, collectively regulating a range of physio pathological processes including immune responses and inflammatory reactions. Over the past decade, although mesoscale intravital microscopy has made substantial progress, there remains a notable gap in ima...
22
2026-06

Nat Photonics 2026 | Super-Snell scanning light-field display for ultrawide-angle high-resolution...

Glasses-free three-dimensional (3D) display is recognized as a critical foundational technology for scenarios including digital twins, human-computer interaction, distance education and virtual social interaction, yet it has long been constrained by the core trade-off: the wider the viewing angle, the lower the resolution and the stronger the crosstalk. To address this bottleneck, a research te...
29
2026-05

Congratulations | Four PhD Students Successfully Passed Their Doctoral Dissertation Defenses

On May 25, the doctoral dissertation defense was held in Room 407 of the Main Building at Tsinghua University. PhD students Yifan Chen, Yiliang Zhou, Yeyi Cai, and Haoxiang Wang successfully completed their dissertation defenses. Faculty members and students from the laboratory gathered to witness this important moment. The four students carried out in-depth research in computational imaging, n...
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...

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News

Nat Methods 2026 | Rapid robust high-fidelity 3D neuronal extraction from multiview calcium imagi...

Nat Med 2026 | Initial Lessons from Real-world Implementation of an AI-Agent Eye Clinic in China

Nat Biotechnol 2026 | High-fidelity fast fluorescence lifetime imaging by event-based denoising

Nat Biotechnol 2026 | High numerical aperture confocal volumetric mesoscope reveals mesoscale sub...

Nat Photonics 2026 | Super-Snell scanning light-field display for ultrawide-angle high-resolution...

Congratulations | Four PhD Students Successfully Passed Their Doctoral Dissertation Defenses

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...

Department of Automation, Tsinghua University

Shenzhen Graduate School of Tsinghua University

Tsinghua-Berkeley Shenzhen College

Zhejiang Institute of Future Technology