FluoRender: joint freehand segmentation and visualization for many-channel fluorescence data analysis

FluoRender: joint freehand segmentation and visualization for many-channel fluorescence data analysis

Abstract Background Image segmentation and registration techniques have enabled biologists to place large amounts of volume data from fluorescence microscopy, morphed three-dimensionally, onto a common spatial frame. Existing tools built on volume visualization pipelines for single channel or red-gr...

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Bibliographic Details
Main Authors: Yong Wan, Hideo Otsuna, Holly A. Holman, Brig Bagley, Masayoshi Ito, A. Kelsey Lewis, Mary Colasanto, Gabrielle Kardon, Kei Ito, Charles Hansen
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BMC Bioinformatics
Subjects:
Multichannel
Volume data
Visualization
Freehand segmentation
Analysis
GPUs
Online Access:http://link.springer.com/article/10.1186/s12859-017-1694-9

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