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- 摘要
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- 实验方案
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Recent Advances in Image and Video Coding || Approach to Super-Resolution Through the Concept of Multicamera Imaging
摘要： Super-resolution consists of processing an image or a set of images in order to enhance the resolution of a video sequence or a single frame. There are several methods to apply super-resolution, from which fusion super-resolution techniques are considered to be the most adequate for real-time implementations. In fusion, super-resolution and high-resolution images are constructed from several observed low-resolution images, thereby increasing the high-frequency components and removing the degradations caused by the recording process of low-resolution imaging acquisition devices. Moreover, the proposed imaging system considered in this work is based on capturing various frames from several sensors, which are attached to one another by a P × Q array. This framework is known as a multicamera system. This chapter summarizes the research conducted to apply fusion super-resolution techniques to select the most adequate frames and macroblocks together with a multicamera array. This approach optimizes the temporal and spatial correlations in the frames and reduces as a consequence the appearance of annoying artifacts, enhancing the quality of the processed high-resolution sequence and minimizing the execution time.
关键词： camera array,multicamera,fusion,super-resolution,video enhancement
更新于2025-09-23 15:19:57
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Microscopy of the Heart || Optical Sectioning Microscopy at ‘Temporal Super-Resolution’
摘要： Within the recent years several super-resolution microscopic methods were developed, where the super-resolution refers to bringing the optical resolution beyond the diffraction limit introduced by Ernst Abbe, which was believed to be a real limit for quite some time. The popularity of the method also in cardiac related research can be followed in the chapter ‘Quantitative super-resolution microscopy of cardiac myocytes’ in this book. In parallel to this spatial super-resolution progress, within the past two decades there was a dynamic development of high speed–high resolution imaging initially towards video-rate (30 frames per second, also referred to as ‘real time’-imaging) but soon to ever increasing frame rates reaching the kHz order of magnitude these days. Many processes, especially those in excitable cells such as neurons and cardiomyocytes [1] or cells in ?ow like erythrocytes or leukocytes [2], require even higher temporal resolution to elucidate the kinetics of processes like the Excitation-Contraction Coupling (ECC). Such ultra high speed recordings still require a diffraction limited spatial resolution to correlate function and subcellular structures [3]. Within this chapter we review optical sectioning microscopy and their application in cellular cardiology. In this approach we focus on methods that allow to access any part of the cell, i.e. we exclude methods that are intrinsically limited to surface investigations like total internal re?ection ?uorescence (TIRF) microscopy [4] or scanning near ?eld optical microscopy (SNOM) [5]. In similarity we exclude techniques that require several images to calculate an image section such as deconvolution microscopy [6] or structured illumination microscopy [7] (e.g., Apotome.2, Zeiss, Jena, Germany).
关键词： super-resolution microscopy,Excitation-Contraction Coupling,high-speed imaging,cardiomyocytes,optical sectioning
更新于2025-09-23 15:19:57
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Small-Molecule Fluorescent Probes for Live-Cell Super-Resolution Microscopy
摘要： Super-resolution fluorescence microscopy is a powerful tool to visualize biomolecules and cellular structures at the nanometer scale. Employing these techniques in living cells has opened up the possibility to study dynamic processes with unprecedented spatial and temporal resolution. Different physical approaches to super-resolution microscopy have been introduced over the last years. A bottleneck to apply these approaches for live-cell imaging has become the availability of appropriate fluorescent probes that can be specifically attached to biomolecules. In this perspective, we discuss the role of small-molecule fluorescent probes for live-cell super-resolution microscopy and the challenges that need to be overcome for their generation. Recent trends in the development of labeling strategies are reviewed together with the required chemical and spectroscopic properties of the probes. Finally, selected examples of the use of small-molecule fluorescent probes in live-cell super-resolution microscopy are given.
关键词： Bioorthogonal chemistry,Super-resolution microscopy,Live-cell imaging,Fluorogenic probes,Protein labeling
更新于2025-09-23 15:19:57
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NanoJ: a high-performance open-source super-resolution microscopy toolbox
摘要： Super-resolution microscopy has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for super-resolution microscopy designed to combine high performance and ease of use. We named it NanoJ - a reference to the popular ImageJ software it was developed for. In this paper, we highlight the current capabilities of NanoJ for several essential processing steps: spatio-temporal alignment of raw data (NanoJ-Core), super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJSQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics). We expect to expand NanoJ in the future through the development of new tools designed to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.
关键词： Virus,Vaccinia,Archaea,Quantitative imaging,Sulfolobus acidocaldarius,Super-resolution microscopy,Fluidics,Modelling,Resolution,Image quality assessment,Pox,Image analysis,ImageJ,Fiji
更新于2025-09-19 17:15:36
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Nanobody Detection of Standard Fluorescent Proteins Enables Multi-Target DNA-PAINT with High Resolution and Minimal Displacement Errors
摘要： DNA point accumulation for imaging in nanoscale topography (PAINT) is a rapidly developing fluorescence super-resolution technique, which allows for reaching spatial resolutions below 10 nm. It also enables the imaging of multiple targets in the same sample. However, using DNA-PAINT to observe cellular structures at such resolution remains challenging. Antibodies, which are commonly used for this purpose, lead to a displacement between the target protein and the reporting fluorophore of 20–25 nm, thus limiting the resolving power. Here, we used nanobodies to minimize this linkage error to ~4 nm. We demonstrate multiplexed imaging by using three nanobodies, each able to bind to a different family of fluorescent proteins. We couple the nanobodies with single DNA strands via a straight forward and stoichiometric chemical conjugation. Additionally, we built a versatile computer-controlled microfluidic setup to enable multiplexed DNA-PAINT in an efficient manner. As a proof of principle, we labeled and imaged proteins on mitochondria, the Golgi apparatus, and chromatin. We obtained super-resolved images of the three targets with 20 nm resolution, and within only 35 minutes acquisition time.
关键词： DNA-PAINT,microfluidics,super-resolution microscopy,fluorescent proteins,molecular localization,multi-color imaging,multiplexing,single domain antibodies (sdAb),linkage error,nanobodies
更新于2025-09-19 17:15:36
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Amplified Expansion Stimulated Emission Depletion Microscopy
摘要： Expansion microscopy (ExM) enhances spatial resolution using a swellable polymer that expands the sample volume by a factor of ~4 in one dimension and factor of ~20 in volume. Combining ExM with stimulated emission depletion (STED) microscopy, referred to as ExSTED, increases the resolution to up to 10 nm. However, photobleaching is a critical issue in ExSTED because sample expansion lowers fluorophore density and high-resolution STED requires high depletion intensity. To overcome these issues, we developed highly bright expansion nanoscopy using biotin-avidin signal amplification to increase the labeling density. Our method provides up to a 7-fold increase in fluorescence signal intensity in expanded samples, thus enabling the use of STED imaging with the maximum depletion intensity of a commercial microscope in the order of GW/cm2. We demonstrate the method using biotinylated antibodies and genetic incorporation approaches of biotin to a specific molecule or organelle.
关键词： stimulated emission depletion microscopy,super-resolution microscopy,expansion microscopy
更新于2025-09-19 17:15:36
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[IEEE 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) - Bangkok, Thailand (2018.12.16-2018.12.19)] 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) - A Lagrange Multiplier-based Regularization Algorithm for Image Super-resolution
摘要： In this article, we propose a Lagrange multiplier-based model for the regularization problem encountered in the image super-resolution. By establishing the equivalent relationship between the regularization model and the Lagrange multiplier-based model, we provide another version of the physical meaning of the regularization parameter. The nonlinearly monotonic relationship between the regularization parameter and the Lagrange multiplier is proved by contradiction. To solve the regularization parameters, a two-phase iterative method based on the Lagrange multiplier-based model is presented. Furthermore, we apply the propagation filtering method to smoothen the super-resolution image. A QR code image super-resolution is employed to validate the effectiveness of the proposed method.
关键词： Lagrange multiplier,two-phase iterative method,regularization,super-resolution
更新于2025-09-19 17:15:36
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Sparse Representation for Color Image Super-Resolution with Image Quality Difference Evaluation
摘要： The sparse representation models have been widely applied in image super-resolution. The certain optimization problem is supposed and can be solved by the iterative shrinkage algorithm. During iteration, the update of dictionaries and similar patches is necessary to obtain prior knowledge to better solve such ill-conditioned problem as image super-resolution. However, both the processes of iteration and update often spend a lot of time, which will be a bottleneck in practice. To solve it, in this paper, we present the concept of image quality difference based on generalized Gaussian distribution feature which has the same trend with the variation of Peak Signal to Noise Ratio (PSNR), and we update dictionaries or similar patches from the termination strategy according to the adaptive threshold of the image quality difference. Based on this point, we present two sparse representation algorithms for image super-resolution, one achieves the further improvement in image quality and the other decreases running time on the basis of image quality assurance. Experimental results also show that our quantitative results on several test datasets are in line with exceptions.
关键词： generalized Gaussian distribution feature,image super-resolution,fast iterative shrinkage algorithm,sparse representation,image quality difference
更新于2025-09-19 17:15:36
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[Lecture Notes in Computer Science] Computer Vision – ECCV 2018 Workshops Volume 11133 (Munich, Germany, September 8-14, 2018, Proceedings, Part V) || Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks
摘要： This paper considers a deep Generative Adversarial Networks (GAN) based method referred to as the Perception-Enhanced Super-Resolution (PESR) for Single Image Super Resolution (SISR) that enhances the perceptual quality of the reconstructed images by considering the following three issues: (1) ease GAN training by replacing an absolute with a relativistic discriminator, (2) include in the loss function a mechanism to emphasize difficult training samples which are generally rich in texture and (3) provide a flexible quality control scheme at test time to trade-off between perception and fidelity. Based on extensive experiments on six benchmark datasets, PESR outperforms recent state-of-the-art SISR methods in terms of perceptual quality. The code is available at https://github.com/thangvubk/PESR.
关键词： Perceptual quality,Super-resolution
更新于2025-09-19 17:15:36
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[IEEE 2018 Asia Pacific Magnetic Recording Conference (APMRC) - Shanghai, China (2018.11.15-2018.11.17)] 2018 Asia-Pacific Magnetic Recording Conference (APMRC) - Miniaturization for Dual-Beam Super-Resolution Optical Data Storage System with Ultra-High Capacities
摘要： A minimized optical lens head for dual-beam super-resolution optical storage system which is based on Stimulated Emission Depletion (STED)-like process with Petabyte data capacity is proposed. The whole bulky optical path is simplified to a customized metasurface with a diameter of 50 m, which generates a focused Gaussian beam and a donut beam overlapped perfectly in space. The specially designed lens head offers a distinct performance of chromatic aberration-free design with adaptability to multiple dual-beam combinations.
关键词： Optical Data Storage System,Metasurfaces,Super-resolution
更新于2025-09-19 17:15:36