Title
Seeing more is knowing more: V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets
Abstract
Everyone understands seeing more is knowing more. However, for large-scale 3D microscopic image analysis, it has not been an easy task to efficiently visualize, manipulate and understand high-dimensional data in 3D, 4D or 5D spaces. We developed a new 3D+ image visualization and analysis platform, V3D, to meet this need. The V3D system provides 3D visualization of gigabyte-sized microscopy image stacks in real time on current laptops and desktops. V3D streamlines the online analysis, measurement and proofreading of complicated image patterns by combining ergonomic functions for selecting a location in an image directly in 3D space and for displaying biological measurements, such as from fluorescent probes, using the overlaid surface objects. V3D runs on all major computer platforms and can be enhanced by software plug-ins to address specific biological problems. To demonstrate this extensibility, we built a V3Dbased application, V3D-Neuron, to reconstruct complex 3D neuronal structures from high-resolution brain images. V3D-Neuron can precisely digitize the morphology of a single neuron in a fruitfly brain in minutes, with about a 17-fold improvement in reliability and tenfold savings in time compared with other neuron reconstruction tools. Using V3D-Neuron, we demonstrate the feasibility of building a high-resolution 3D digital atlas of neurite tracts in the fruitfly brain. V3D can be easily extended using a simple-to-use and comprehensive plugin interface.
Year
DOI
Venue
2011
10.1007/978-3-642-20036-6_30
RECOMB
Keywords
Field
DocType
quantitative analysis,large-scale biological image data,high resolution,3d visualization,high dimensional data,brain imaging,image analysis,real time
Computer vision,Data set,Online analysis,Biology,Visualization,Software,Artificial intelligence,Plug-in,Bioinformatics,Extensibility
Conference
Volume
ISSN
Citations 
6577
0302-9743
1
PageRank 
References 
Authors
0.36
1
2
Name
Order
Citations
PageRank
Hanchuan Peng13930182.27
Fuhui Long230419.27