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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...
24
2024-06

Zhifeng Zhao, a PhD student from THUIBCS, was awarded the 2024 Rui Wu Scholarship

On May 31, 2024, the result of the 2024 Wu Rui Scholarship was announced, with 11 outstanding doctoral students nationwide receiving the prestigious award. Among them, two students from Tsinghua University were selected, including Zhao Zhifeng, a PhD student at the Institute of Brain and Cognitive Science (THUIBCS) under the supervision of Professor Dai Qionghai.Zhifeng Zhao joined Dai's group ...
28
2024-05

Nature Biotechnology | Confocal scanning light field microscope: a new tool for long-term, high-s...

The significant differences between in vitro and in vivo environments can markedly affect the function and phenotype of cells. The interactions within different types of cells under physiological and pathological conditions are difficult to be reproduced in vitro. Thus the long-term observation of the transient processes at cellular and even subcellular level in living organisms is the key to u...
15
2024-05

Nature Photonics | Optoelectronic AI Processor: when optics meet electronics

Artificial intelligence (AI) technology, represented by deep learning, has brought huge changes to our daily life in many fields, including autonomous driving, medical diagnosis, and voice translation. With the rapid development of deep learning algorithms and the continuous increase in the scale of artificial neural networks, there is an urgent need to continuously improve the computing speed ...
14
2024-05

Nature Protocols｜An open-source solution for scanning light field microscopy, breaking barriers ...

With the development of various animal models in recent years, the demand for observing cell-cell and intracellular interactions in vivo has rapidly increased. Due to the complexity of the three-dimensional microenvironment, cells and organelles exhibit markedly different behaviors in cell culture dishes and multicellular organisms. More importantly, their functions and behaviors often show rap...
14
2024-05

Nature Methods｜Intravital imaging with ultrahigh 3D spatiotemporal resolution using virtual-scan...

The study of the interactions and functions among multiple cells and organelles within biological organisms relies heavily on the continuous advancement of live imaging techniques, especially those with high spatiotemporal resolution to capture rapid three-dimensional changes in the complex microenvironments inside mammalian bodies. Over the past decade, scientists have made significant efforts...
14
2024-05

Cell｜A breakthrough in computational microscopy, enabling long-term observation of live mammals ...

The ability to observe dynamic microenvironments within living animals at high speed, high resolution, and over long durations has run through the centuries-long development of microscopy, serving as an icebreaker for life sciences and medical research, and as a pioneer in discovering new phenomena and revealing new mechanisms. However, due to limitations such as the 3D distribution of tissues,...
14
2024-05

Science | Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence

On April 12th, Professor Lu Fang from Department of Electronic Engineering and Professor Qionghai Dai from Department of Automation, reported an innovation of photonic AI chiplet “Taichi”, empowering 160 TOPS/W artificial general intelligence. The research has been published on Science. The rapid development in the field of artificial general intelligence (AGI) imposes stringent energy effici...
14
2024-05

Light: Science & Applications | Unsupervised transformation for cross-modality optical microscopy

Optical microscopy is a crucial observation tool in life sciences and biomedicine. However, due to limitations of physical devices, imaging conditions, and sample preparation processes, direct microscopic images often fail to reveal sufficient sample information. In recent years, deep learning has made significant progress in computational imaging and image transformation. As a data-driven meth...
14
2024-05

Nature Methods | An invited comment to summarize the opportunities and challenges of biological i...

Advanced imaging techniques provide holistic observations of complicated biological phenomena across multiple scales, while posing great challenges on data analysis. We summarize recent advances and trends in bioimage analysis, discuss current challenges towards better applicability, and envision new possibilities.“More is different.” As indicated by Philip W. Anderson about 50 years ago, the...
14
2024-05

Nature Computational Science | Next-Generation Self-Supervised Denoising Method for Multi-Modal U...

The rapid development of optical imaging technology has enabled researchers to observe the structure and activity of organisms on a micron and even nanometer scale. Fluorescence microscopy, a widely used imaging method, aids in discovering new physiological and pathological mechanisms due to its high spatiotemporal resolution and molecular specificity. The primary goal of fluorescence microscop...
14
2024-05

Nature Biotechnology | Real-time denoising enables high-sensitivity fluorescence time-lapse imagi...

The normal functioning of living organisms relies on a series of spatiotemporally coordinated cellular and subcellular activities. Observing and recording these phenomena is the first step to understanding them. Fluorescence microscopy, combined with the development of fluorescent probes, provides scientists with a tool for high spatiotemporal resolution and molecular specificity. Advances in f...
14
2024-05

Nature Methods | A new self-supervised denoising method to break the shot-noise limit in calcium ...

Calcium imaging allows parallel recording of neural activity in living organisms at single-cell resolution, offering great potential for unraveling the mechanisms of information propagation, integration, and computation in neural circuits. Achieving high signal-to-noise ratio (SNR) calcium imaging data is crucial for accurate neural function analysis. However, the low peak accumulation and rapi...

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News

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...

Zhifeng Zhao, a PhD student from THUIBCS, was awarded the 2024 Rui Wu Scholarship

Nature Biotechnology | Confocal scanning light field microscope: a new tool for long-term, high-s...

Nature Photonics | Optoelectronic AI Processor: when optics meet electronics

Nature Protocols｜An open-source solution for scanning light field microscopy, breaking barriers ...

Nature Methods｜Intravital imaging with ultrahigh 3D spatiotemporal resolution using virtual-scan...

Cell｜A breakthrough in computational microscopy, enabling long-term observation of live mammals ...

Science | Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence

Light: Science & Applications | Unsupervised transformation for cross-modality optical microscopy

Nature Methods | An invited comment to summarize the opportunities and challenges of biological i...

Nature Computational Science | Next-Generation Self-Supervised Denoising Method for Multi-Modal U...

Nature Biotechnology | Real-time denoising enables high-sensitivity fluorescence time-lapse imagi...

Nature Methods | A new self-supervised denoising method to break the shot-noise limit in calcium ...

Department of Automation, Tsinghua University

Shenzhen Graduate School of Tsinghua University

Tsinghua-Berkeley Shenzhen College

Zhejiang Institute of Future Technology