SDR Deposit of the Week: Video tutorials for 4D visualization

Co-expression of CDT1A and SOL2 in Arabidopsis thaliana seedling leaf
May 15, 2017
by Amy E. Hodge

Many researchers rely on open source software for data analysis, but lack of documentation on how to use the software can sometimes be an issue. In these situations, it's up to someone in the community to step up and create better resources to help people learn how to get the most out of these tools.

Stanford biology undergrad Nathan Cho found himself in just this situation recently while working on his honors thesis. Cho's project involved studying how stem cell development in plants affects the timing of the cell cycle, the process by which cells grow and divide. Analysis of his microscopy images required him to use open source software from the Max Plank Institute called MorphoGraphX.