Frontiers and development in live-cell super-resolution fluorescence microscopy / 生物医学工程学杂志

This paper reviews the research progress on live-cell super-resolution fluorescence microscopy, discusses the current research status and hotspots in this field, and summarizes the technological application of super-resolution fluorescence microscopy for live-cell imaging. To date, this field has gained progress in numerous aspects. Specifically, the structured illumination microscopy, stimulated emission depletion microscopy, and the recently introduced minimal photon fluxes microscopy are the current research hotspots. According to the current progress in this field, future development trend is likely to be largely driven by artificial intelligence as well as advances in fluorescent probes and relevant labelling methods.

Multimodality-based super-resolution reconstruction for routine brain magnetic resonance images / 南方医科大学学报

OBJECTIVE@#To propose a multi-modality-based super-resolution synthesis model for reconstruction of routine brain magnetic resonance images (MRI) with a low resolution and a high thickness into high-resolution images.@*METHODS@#Based on real paired low-high resolution MRI data (2D T1, 2D T2 FLAIR and 3D T1), a structure-constrained image mapping network was used to extract important features from the images with different modalities including the whole T1 and subcortical regions of T2 FLAIR to reconstruct T1 images with higher resolutions. The gray scale intensity and structural similarities between the super-resolution images and high-resolution images were used to enhance the reconstruction performance. We used the anatomical information acquired from segment maps of the super-resolution T1 image and the ground truth by a segmentation tool as a significant constraint for adaptive learning of the intrinsic tissue structure characteristics of the brain to improve the reconstruction performance of the model.@*RESULTS@#Our method showed the performance on the testing dataset than other methods with an average PSNR of 33.11 and SSIM of 0.996. The anatomical structure of the brain including the sulcus, gyrus, and subcortex were all reconstructed clearly using the proposed method, which also greatly enhanced the precision of MSCSR for brain volume measurement.@*CONCLUSION@#The proposed MSCSR model shows excellent performance for reconstructing super-resolution brain MR images based on the information of brain tissue structure and multimodality MR images.

Nuclear peripheral chromatin-lamin B1 interaction is required for global integrity of chromatin architecture and dynamics in human cells

The eukaryotic genome is folded into higher-order conformation accompanied with constrained dynamics for coordinated genome functions. However, the molecular machinery underlying these hierarchically organized three-dimensional (3D) chromatin architecture and dynamics remains poorly understood. Here by combining imaging and sequencing, we studied the role of lamin B1 in chromatin architecture and dynamics. We found that lamin B1 depletion leads to detachment of lamina-associated domains (LADs) from the nuclear periphery accompanied with global chromatin redistribution and decompaction. Consequently, the inter-chromosomal as well as inter-compartment interactions are increased, but the structure of topologically associating domains (TADs) is not affected. Using live-cell genomic loci tracking, we further proved that depletion of lamin B1 leads to increased chromatin dynamics, owing to chromatin decompaction and redistribution toward nucleoplasm. Taken together, our data suggest that lamin B1 and chromatin interactions at the nuclear periphery promote LAD maintenance, chromatin compaction, genomic compartmentalization into chromosome territories and A/B compartments and confine chromatin dynamics, supporting their crucial roles in chromatin higher-order structure and chromatin dynamics.

Super Resolution of MR Brain Images Using Compressive Sensing and Fuzzy Logical Rules

Abstract The proficiency of image processing is of extreme importance in perceiving and collecting information from the images, which includes the process of changing or interpreting existing images. In medical image processing, imaging with more accuracy plays a crucial role in better diagnosis or for the posterior analysis of treatment. Magnetic Resonance Imaging (MRI) is a medicinal creative tool for studying the internal structures and functionalities of human brain, knee, heart, liver, etc. Typical MR scans are essential now for better diagnosis but, limited resolution that is often inadequate for extracting detailed and reliable information. So, for the super resolution (SR) of MR brain images concepts of compressive sensing (CS) & fuzzy logical rules to improve data quality are proposed in this paper. Usually, reconstruction of an SR image is the formation of high resolution (HR) image which is obtained from one or few low resolution (LR) images. In the proposed method, with the help of compressive sensing a very limited number of images are considered even though it's a challenging task and fuzzy logical rules for a specific membership function are applied to improve the resolution of the image. To assess the performance of the proposal, different metrics are evaluated and achieved better results.

Super-resolution construction of intravascular ultrasound images using generative adversarial networks / 南方医科大学学报

The low-resolution ultrasound images have poor visual effects. Herein we propose a method for generating clearer intravascular ultrasound images based on super-resolution reconstruction combined with generative adversarial networks. We used the generative adversarial networks to generate the images by a generator and to estimate the authenticity of the images by a discriminator. Specifically, the low-resolution image was passed through the sub-pixel convolution layer -feature channels to generate -feature maps in the same size, followed by realignment of the corresponding pixels in each feature map into × sub-blocks, which corresponded to the sub-block in a high-resolution image; after amplification, an image with a -time resolution was generated. The generative adversarial networks can obtain a clearer image through continuous optimization. We compared the method (SRGAN) with other methods including Bicubic, super-resolution convolutional network (SRCNN) and efficient sub-pixel convolutional network (ESPCN), and the proposed method resulted in obvious improvements in the peak signal-to-noise ratio (PSNR) by 2.369 dB and in structural similarity index by 1.79% to enhance the diagnostic visual effects of intravascular ultrasound images.

Single Molecule Method for Molecular Biology

In order to understand biological phenomena accurately, single molecule techniques using a physical research approach to molecular interactions have been developed, and are now widely being used to study complex biological processes. In this review, we discuss some of the single molecule methods which are composed of two major parts: single molecule spectroscopy and manipulation. In particular, we explain how these techniques work and introduce the current research which uses them. Finally, we present the oral biology research using the single molecule methods.

Review of Recent Advancement of Ultra High Field Magnetic Resonance Imaging: from Anatomy to Tractography

PURPOSE: Advances of magnetic resonance imaging (MRI), especially that of the Ultra-High Field (UHF) MRI will be reviewed. MATERIALS AND METHODS: Diffusion MRI data was obtained from a healthy adult young male of age 30 using a 7.0T research MRI scanner (Magnetom, Siemens) with 40 mT/m maximum gradient field. The specific imaging parameters used for the data acquisition were a single shot DW echo planar imaging. RESULTS: Three areas of the imaging experiments are focused on for the study, namely the anatomy, angiography, and tractography. CONCLUSION: It is envisioned that, in near future, there will be more 7.0T MRIs for brain research and explosive clinical application research will also be developed, for example in the area of connectomics in neuroscience and clinical neurology and neurosurgery.

Más allá del tensor de difusión: experiencia preliminar en tractografía HARDI-CSD y super-resolución en 1. 5T / Beyond the diffusion tensor model: preliminary experience inHARDI tractography-CSD and super-resolution 1. 5T

Introduction: For more than a decade the diffusion tensor imaging model has been widely used in order to resolve and represent the intracranial white-matter microanatomy. Howeverthere are numerous studies that have successfully demonstrated the limitations associated with DTI in trying to define crossing-fibre regions. Various models have been developed with the intention of overcoming these limitations. This is why our study focuses on the description and preliminary experience in the use of tractography based on high-angular-resolution-diffusion imaging (HARDI) using the constrained spherical deconvolution (CSD) technique. Methods: The data was acquired on a Philips Achieva 1.5T resonator using a diffusion weighted single-shot echoplanar sequence along 32 directions with a b-value of 1000s/mm2. The images were processed using FSL v5.0 and MRtrix v0.2.10 software. Results: We achieved tensor free high-angular-resolution-diffusion tractographic images that better represented the white-matter micro-architecture than those obtained from the tensor model. Additionally, it was possible to generate track-density images (TDI) with a final resolution more than 500 times that of the acquired data.

Introducción: Desde hace más de una década que el modelo de tensor de difusión ha sido ampliamente utilizado con el fin de resolver y representar la microanatomía de la sustancia blanca intra-cerebral. Sin embargo, no son pocos los estudios que han logrado demostrar las grandes desventajas que el modelo presenta al tratar de definir regiones de entrecruzamiento de fibras. Diversos modelos han sido desarrollados para ofrecer una solución consistente, capaz de representar dichas regiones con mayor grado de correlación anatómica. Es por ello que nuestro estudio se enfoca en la descripción y experiencia preliminar en el uso de tractografía basada en imágenes de difusión de alta resolución angular (HARDI) usando el modelo de deconvolución esférica restringida (CSD). Métodos: La adquisición se realizó en un resonador Philips Achieva 1.5T mediante secuencia de difusión single-shot echo-planar de 32 direcciones con un b-value de 1.000s/mm² procesamiento de las imágenes se realizó mediante software FSL v5.0 y MRtrix v0.2.10. Resultados: Se lograron tractografías libres de tensor de difusión de alta resolución angular que representan la micro-arquitectura de la sustancia blanca de mejor manera que con las generadas a partir del modelo de tensor. Adicionalmente, se logró generar imágenes de densidad tractográfica (TDI) con una resolución final de más de 500 veces a la de adquisición.

Measurement of minute fluctuation blood cell membrane based on super resolution theory / 医疗卫生装备

The purpose of this paper is to develop a new dynamic image analyzing technique with the ability of real time measurement on red blood cell membrane minute fluctuation based on super resolution.The technique is proved strictly by correct theory,also its software realization as well as its advantage and disadvantage are also involved in.The results of applying the method in Aspergillus flavus cell(AFC)and red cell have proved its availability and achieved some new findings.