:: DESCRIPTION
Icy provides the software resources to visualize, annotate and quantify bioimaging data.
:: DEVELOPER
the Quantitative Image Analysis Unit at Institut Pasteur
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
de Chaumont, F. et al. (2012)
Icy: an open bioimage informatics platform for extended reproducible research,
Nature Methods, 9, pp. 690-696
:: DESCRIPTION
Vaa3D (former, V3D, 3D Visualization-Assisted Analysis) is a handy, fast, and versatile 3D/4D/5D Image Visualization & Analysis System for Bioimages & Surface Objects. V3D is a cross-platform (Mac, Linux, and Windows) tool for visualizing large-scale (gigabytes, and 64-bit data) 3D image stacks and various surface data. It is also a container of powerful modules for 3D image analysis (cell segmentation, neuron tracing, brain registration, annotation, quantitative measurement and statistics, etc) and data management. This makes V3D suitable for various bioimage informatics applications, and a nice platform to develop new 3D image analysis algorithms for high-throughput processing. In short, V3D streamlines the workflow of visualization-assisted analysis.
::DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Peng, H., Ruan, Z., Long, F., Simpson, J.H., and Myers, E.W. (2010)
“V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets,”
Nature Biotechnology, Vol. 28, No. 4, pp. 348-353, DOI: 10.1038/nbt.1612.
:: DESCRIPTION
SemiBiomarker is a new semi-supervised protocol that can use unlabeled cancer protein data in model construction by an iterative and incremental training strategy.It can result in improved accuracy and sensitivity of subcellular location difference detection.
::DEVELOPER
Computational Systems Biology Group, Shanghai Jiao Tong University
:: SCREENSHOTS
N/a
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioimaging based detection of mislocalized proteins in human cancers by semi-supervised learning.
Xu YY, Yang F, Zhang Y, Shen HB.
Bioinformatics. 2014 Nov 19. pii: btu772.
