Visualization is fundamental to data analysis. A good visualization allows to present a magnitude of data in a simple and concise manner. Visualization can be done with graphs, diagrams, images, or via software applications that provide navigation through the data.
Dynamic histogram for selection of data
Color deconvolution of histological images and natural stains
Brain tissue section and specific segmentation of neurons and astroglia
- License : http://creativecommons.org/licenses/by/3.0/
- Original image from Christopher Wallace, Ginger Withers and Tony Cooke (CC Attribution Only).
Visualization of heterogeneous data by merging microarray data with public databases
Quantitative 3D histology
Histological images are typically represented in 2D. By numbering the sequential sections through a paraffin, epoxy or frozen block, we can reconstruct volumes for the measurement and visualization of signals in three dimensions. To see more…