Vaa3D-x for cross-platform teravoxel-scale immersive exploration of multidimensional image data

Jiangshan Liang; Luchen Deng; Shize Chen; Yimin Wang; Zongcai Ruan; Lingli Zhang

doi:10.1093/bioinformatics/btac794

Vaa3D-x for cross-platform teravoxel-scale immersive exploration of multidimensional image data

Bioinformatics. 2023 Jan 1;39(1):btac794. doi: 10.1093/bioinformatics/btac794.

Authors

Jiangshan Liang¹, Luchen Deng¹, Shize Chen¹, Yimin Wang², Zongcai Ruan¹, Lingli Zhang³

Affiliations

¹ School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China.
² Guangdong Institute of Intelligence Science and Technology, Hengqin, Guangdong, China.
³ School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, China.

Abstract

Summary: Vaa3D is a software package that has been widely used to visualize and analyze multidimensional microscopic images in a number of cutting edge bioimage informatics applications. However, due to many recent updates of both software development environments and operating systems, it was highly requested to maintain Vaa3D and disseminate it on latest operating systems. In addition, there has never been a showcase about how to use Vaa3D's cross-platform visualization and immersive exploration functions for multidimensional and teravoxel-scale images. Here, we introduce a newly developed version of the software, called Vaa3D-x, to address all the above issues.

Availability and implementation: Vaa3D-x is released in both binary and Open-Source available at vaa3d.org and GitHub (https://github.com/Vaa3D).

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology*
Image Processing, Computer-Assisted*
Microscopy
Software*

Grants and funding

National Science and Technology Innovation 2030