Sun Yat-senuniversity

The First Affiliated Hospital of Sun Yat-sen University

National Supercomputer Centre in Guangzhou of Sun Yat-sen University

School of Data and Computer Sciences of Sun Yat-sen University

School of Data and Computer Science of Sun Yat-sen University

Yunfei Du

Yutong Lu

Xi Zhang

Yao Lu

Xiaolin Liu

Liwei Yan

Jian Qi

Qingtang Zhu

Tao Lin

Jinsong Duan

Jiayuan Wang

Ao Hu

Liang Du

Guixin Guo

Zhongzhu Zhou

Shuang Zhu

Kangyou Zhong

Yongze Guo

Sha Yu

Dehumidifier

A small-file storage optimization system based on a virtual file system in a KUBERNETES user-mode application which is applied to a target file system includes a network file system including a network file system server and a network file system client, a user-mode application mounted on a shared directory exposed by the network file system server through the network file system client, and a virtual file system including a virtual file system client and a virtual file system server. A file block creating and formatting module in the virtual file system server creates a virtual file block for storing small files on one or more object storage target devices of the target file system, and the virtual file block is mounted on the shared directory exposed by the network file system server.

Small-file storage optimization system based on virtual file system in KUBERNETES user-mode application

The present invention relates to fields of clinical application of nerve defect repair and the medical three-dimensional (3D) printing technology, and provides an integrated visualization method for three-dimensional (3D) reconstruction of internal structure of human peripheral nerves. The method comprises the following steps: obtaining human peripheral nerves, preparing nerve specimens ex vivo by staining with an iodine preparation in combination with a freeze-drying method; scanning the pretreated peripheral nerves using Micro CT to acquire lossless two-dimensional images, and performing binarization processing to the two-dimensional images, then conducting image segmentation based on textural features to acquire images of nerve fascicles; finally, reconstructing the segmented images into a visualization model by using a supercomputer.

Integrated method for three-dimensional visualization reconstruction of the fascicular structure inside human peripheral nerves

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Guangdong, China

Yunfei Du