Encoding biological metaverse: Advancements and challenges in neural fields from macroscopic to microscopic  

作　　者：Yantong Cai Wenbo Hu Yao Pei Hao Zhao Guangchuang Yu 

机构地区：[1]Dermatology Hospital,Southern Medical University,Guangzhou 266003,China [2]Department of Bioinformatics,School of Basic Medical Sciences,Southern Medical University,Guangzhou 510515,China [3]Tencent AI Lab,Shenzhen 518071,China [4]State Key Laboratory of Emerging Infectious Diseases,School of Public Health,The University of Hong Kong,Hong Kong SAR,China [5]Laboratory of Data Discovery for Health(D24H),Hong Kong Science Park,Hong Kong SAR,China [6]Institute for AI Industry Research,Tsinghua University,Beijing 100000,China

出　　处：《The Innovation》2024年第3期30-32,共3页创新（英文）

摘　　要：Neural fields can efficiently encode three-dimensional(3D)scenes,providing a bridge between two-dimensional(2D)images and virtual reality.This method becomes a trendsetter in bringing the metaverse into vivo life.It has initially captured the attention of macroscopic biology,as demonstrated by computed tomography and magnetic resonance imaging,which provide a 3D field of view for diagnostic biological images.Meanwhile,it has also opened up new research opportunities in microscopic imaging,such as achieving clearer de novo protein structure reconstructions.Introducing this method to the field of biology is particularly significant,as it is refining the approach to studying biological images.However,many biologists have yet to fully appreciate the distinctive meaning of neural fields in transforming 2D images into 3D perspectives.This article discusses the application of neural fields in both microscopic and macroscopic biological images and their practical uses in biomedicine,highlighting the broad prospects of neural fields in the future biological metaverse.We stand at the threshold of an exciting new era,where the advancements in neural field technology herald the dawn of exploring the mysteries of life in innovative ways.

关 键 词：NEURAL bringing INNOVATIVE 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]