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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...
14
2024-05
Science Advances | All-Optical Encoder-Decoder for High-Performance Image Communication
With the development of an intelligent society, image transmission has become a fundamental need in various fields of daily life. For instance, streaming a Blu-ray movie requires transmission throughput of several gigabits per second. Transmission links need to support such high throughput for numerous terminals simultaneously, posing significant challenges for image transmission. Additionally,...
14
2024-05
Nature | All-analog photoelectronic chip for high-speed vision tasks
01 Introduction Recently, the Imaging and Intelligent Technology Laboratory from the Department of Automation and the Intelligent Sensing Integrated Circuit and System Laboratory from the Department of Electronic Engineering at Tsinghua University have jointly proposed an all-analog photo-electronic integrated computing chip. This chip has, for the first time globally, demonstrated that photo-e...
14
2024-05
Nature | An integrated imaging sensor for aberration-corrected 3D photography
Perfect optical imaging, one of the ultimate goals of human perception of the world, is fundamentally constrained by errors in mirror fabrication and complex environmental disturbances causing optical aberrations. The photonics team uniquely proposed an integrated meta-imaging sensor architecture to carve a new path for solving the aberration challenge. Instead of constructing perfect lenses, t...
14
2024-05
Cell | Two-photon synthetic aperture microscopy for cross-scale spatiotemporal observation of dee...
Two-photon microscopy is indispensable for in vivo observation of deep, scattering tissues, with its superior penetration depth compared to single-photon imaging being widely recognized in life sciences and medical research. However, traditional point-scanning two-photon imaging fundamentally limits imaging throughput and three-dimensional perception speed, making it highly susceptible to inter...
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